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Author SHA1 Message Date
Matt Van Horn b31ec05c74 marketing: v3.1 launch video — 30s Remotion render
Six-scene 30-second MP4 announcing v3.1 (competitors mode) for X.

Lives at marketing/v3.1-launch/. Renders to out/last30days-v3.1-launch.mp4
(gitignored). 1920×1080 @ 30fps, H.264, ~3MB final.

Six scenes:
1. Hook (0-3s): badge + "What if one search ran 3 at once?"
2. Old way (3-8s): single terminal /last30days OpenAI
3. Fan-out (8-14s): --competitors splits into 3 parallel panes
4. Comparison (14-21s): 3 panes collapse into Head-to-Head table
5. How (21-26s): "You pick the topic. Agent picks peers. Engine fans out."
6. CTA (26-30s): install command + repo URL

Reusable components: TerminalWindow, TypedLine, BadgeBar,
ComparisonTable. Scene timing in src/lib/timing.ts as single source of
truth — one edit to retime everything.

Marketing version 3.1 ≠ engine code version (still 3.0.14). 3.1 is the
launch label that bundles 3.0.11-3.0.14 into one shippable narrative.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 21:48:02 -07:00
227 changed files with 2899 additions and 5501 deletions
-20
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@@ -1,20 +0,0 @@
{
"name": "last30days-skill",
"interface": {
"displayName": "Last 30 Days"
},
"plugins": [
{
"name": "last30days",
"source": {
"source": "local",
"path": "./"
},
"policy": {
"installation": "AVAILABLE",
"authentication": "ON_INSTALL"
},
"category": "Research"
}
]
}
+4 -5
View File
@@ -1,17 +1,16 @@
{
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
"name": "last30days-skill",
"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket, GitHub, and 5+ more sources.",
"owner": {
"name": "Matt Van Horn",
"url": "https://github.com/mvanhorn"
},
"metadata": {
"description": "Marketplace hosting the Last 30 Days research plugin."
},
"plugins": [
{
"name": "last30days",
"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.",
"version": "3.2.3",
"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket, GitHub, and 5+ more sources.",
"version": "3.0.9",
"author": {
"name": "Matt Van Horn",
"url": "https://github.com/mvanhorn"
+3 -2
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@@ -1,6 +1,6 @@
{
"name": "last30days",
"version": "3.2.3",
"version": "3.0.14",
"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.",
"author": {
"name": "Matt Van Horn",
@@ -10,5 +10,6 @@
"homepage": "https://github.com/mvanhorn/last30days-skill",
"repository": "https://github.com/mvanhorn/last30days-skill",
"license": "MIT",
"keywords": ["research", "reddit", "twitter", "youtube", "tiktok", "instagram", "trends", "prompts", "polymarket", "github", "perplexity", "threads", "pinterest", "eli5", "hacker-news"]
"keywords": ["research", "reddit", "twitter", "youtube", "tiktok", "instagram", "trends", "prompts", "polymarket", "github", "perplexity", "threads", "pinterest", "eli5", "hacker-news"],
"hooks": {}
}
+3
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@@ -0,0 +1,3 @@
{
"name": "last30days"
}
+4 -4
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@@ -1,6 +1,5 @@
# Exclude non-runtime files from `git archive` output.
# Used by skills/last30days/scripts/build-skill.sh to produce a
# claude.ai-upload-ready .skill file from the canonical skills/last30days tree.
# Used by scripts/build-skill.sh to produce a claude.ai-upload-ready .skill file.
# See docs/plans/2026-04-14-001-fix-skill-upload-200-file-limit-plan.md.
# Anthropic canonical skill-packaging excludes
@@ -33,8 +32,9 @@ release-notes.md export-ignore
CHANGELOG.md export-ignore
uv.lock export-ignore
# Platform adapters are kept in git archives because Claude Code and Codex
# plugin installs use the same repository archive as their source payload.
# Platform adapters - skill-upload path is platform-agnostic
.agents/ export-ignore
.codex-plugin/ export-ignore
.hermes-plugin/ export-ignore
# CI workflows - repo-only, not needed at skill runtime
-53
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@@ -1,53 +0,0 @@
name: Bug Report
description: Report a bug or unexpected behavior
labels: [bug]
body:
- type: textarea
id: summary
attributes:
label: Summary
description: What happened?
placeholder: Describe the bug in 1-2 sentences.
validations:
required: true
- type: textarea
id: repro
attributes:
label: Steps to Reproduce
description: How can we reproduce this?
placeholder: |
1. Run `python3 scripts/last30days.py "topic" --emit compact`
2. ...
validations:
required: true
- type: textarea
id: expected
attributes:
label: Expected Behavior
description: What should have happened?
validations:
required: true
- type: textarea
id: traceback
attributes:
label: Error / Traceback
description: Paste the full traceback or error output.
render: text
- type: dropdown
id: install
attributes:
label: Install Method
options:
- Claude Code plugin
- Gemini CLI extension
- Codex plugin
- Hermes skill
- Manual (git clone)
- Other
validations:
required: true
- type: input
id: os
attributes:
label: OS
placeholder: macOS 15.4, Ubuntu 24.04, Windows 11, etc.
@@ -1,24 +0,0 @@
name: Feature Request
description: Suggest a new feature or improvement
labels: [enhancement]
body:
- type: textarea
id: problem
attributes:
label: Problem
description: What problem does this solve?
placeholder: When I try to ..., I can't ...
validations:
required: true
- type: textarea
id: solution
attributes:
label: Proposed Solution
description: How should this work?
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: Alternatives Considered
description: Other approaches you thought of (optional).
-19
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@@ -1,19 +0,0 @@
## Summary
<!-- What does this PR do? 1-3 sentences. -->
## Changes
<!-- Bullet list of what changed. Reference files if helpful. -->
-
## Testing
<!-- How did you verify this works? -->
- [ ] Ran `uv run python -m pytest -q --tb=short`
## Related Issues
<!-- Link issues: Fixes #123 or Relates to #456 -->
+3 -97
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@@ -9,10 +9,7 @@ permissions:
contents: write
jobs:
# Build the existing .skill artifact (Claude Code / Codex / Cursor install
# surface). Unchanged from prior versions; just isolated into its own job
# so the .mcpb matrix can run in parallel.
build-skill:
build-and-release:
runs-on: ubuntu-latest
steps:
- name: Checkout
@@ -22,104 +19,13 @@ jobs:
- name: Build .skill artifact
run: |
bash skills/last30days/scripts/build-skill.sh
bash scripts/build-skill.sh
test -f dist/last30days.skill
- name: Upload skill artifact
uses: actions/upload-artifact@v4
with:
name: last30days-skill
path: dist/last30days.skill
# Cross-compile the Go MCP server for each Claude Desktop platform and
# package each as a .mcpb. printing-press bundle handles the manifest +
# zip layout; we only supply the pre-built binary via --skip-build.
build-mcpb:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
include:
- goos: darwin
goarch: arm64
platform: darwin/arm64
- goos: darwin
goarch: amd64
platform: darwin/amd64
- goos: linux
goarch: amd64
platform: linux/amd64
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Go
uses: actions/setup-go@v5
with:
go-version: stable
- name: Install printing-press
# Pin to a known-good PP release so the bundle command's behavior
# is deterministic across our tags. Bump deliberately when adopting
# a newer PP version. GOSUMDB=off skips the sumdb 404 some
# private-namespaced go install calls hit even when the repo is
# public; harmless here because the module path is fully qualified.
env:
GOPRIVATE: github.com/mvanhorn/*
GOSUMDB: "off"
run: go install github.com/mvanhorn/cli-printing-press/v4/cmd/printing-press@v4.8.0
- name: Sync engine into vendored/
run: bash mcp/scripts/sync-engine.sh
- name: Build MCP binary
env:
GOOS: ${{ matrix.goos }}
GOARCH: ${{ matrix.goarch }}
CGO_ENABLED: "0"
run: |
mkdir -p mcp/build
go -C mcp build \
-ldflags "-X main.Version=${{ github.ref_name }}" \
-o build/last30days-pp-mcp \
./cmd/last30days-pp-mcp
- name: Bundle .mcpb
# printing-press bundle reads manifest.json from the cli dir and
# rewrites the binary into bin/<entry_point> inside the zip. The
# --platform tag drives the output filename suffix; the binary
# itself is whatever we just cross-compiled.
run: |
printing-press bundle mcp \
--skip-build \
--binary mcp/build/last30days-pp-mcp \
--platform ${{ matrix.platform }} \
--output mcp/build/last30days-pp-mcp-${{ matrix.goos }}-${{ matrix.goarch }}.mcpb
- name: Upload .mcpb artifact
uses: actions/upload-artifact@v4
with:
name: mcpb-${{ matrix.goos }}-${{ matrix.goarch }}
path: mcp/build/last30days-pp-mcp-${{ matrix.goos }}-${{ matrix.goarch }}.mcpb
# Gather every platform artifact and attach to one GitHub release.
# release-notes generation reads commits since the prior tag.
release:
needs: [build-skill, build-mcpb]
runs-on: ubuntu-latest
steps:
- name: Download all artifacts
uses: actions/download-artifact@v4
with:
path: dist
merge-multiple: true
- name: Create GitHub release
uses: softprops/action-gh-release@v2
with:
files: |
dist/last30days.skill
dist/last30days-pp-mcp-*.mcpb
files: dist/last30days.skill
generate_release_notes: true
draft: false
prerelease: false
-26
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@@ -1,26 +0,0 @@
name: Validate
on:
pull_request:
push:
branches:
- main
permissions:
contents: read
jobs:
plugin-contract:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Set up Python
run: uv python install 3.12
- name: Run plugin contract tests
run: uv run pytest tests/test_plugin_contract.py tests/test_version_consistency.py
+6 -9
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@@ -26,14 +26,11 @@ htmlcov/
# build artifact from scripts/build-skill.sh
/dist/
# Go MCP bundle build outputs - source of truth for vendored/ stays under
# skills/last30days/scripts/; build/ holds cross-compiled binaries + .mcpb files.
# vendored/ lives inside the engine package because //go:embed cannot reach
# outside its own package directory; the .gitkeep anchor stays tracked so
# the embed pattern always finds a match even before sync-engine runs.
/mcp/internal/engine/vendored/*
!/mcp/internal/engine/vendored/.gitkeep
/mcp/build/
# Internal planning docs (ce:plan output) — keep local, don't publish
docs/plans/
# Marketing video build artifacts
marketing/v3.1-launch/node_modules/
marketing/v3.1-launch/out/
marketing/*/node_modules/
marketing/*/out/
-1
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@@ -1 +0,0 @@
@CLAUDE.md
-47
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@@ -5,52 +5,6 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Changed
- Rename "Digg AI 1000" to just "Digg" in user-facing output (footer line, source label, inline-quote suffix, why_relevant, container attribution). Internal references to the upstream Digg AI 1000 product remain in code comments and docstrings.
- Bump `POSTS_PER_CLUSTER` from 3 to 5 and the render-side display limit from 2 to 3 to match the per-source enrichment caps used by Reddit, HN, YouTube, TikTok, and GitHub. The previous 3/2 caps routinely truncated cluster context (e.g. dropped a Jason Calacanis quote tweet on a `cli-printing-press` run).
- Rewrite SKILL.md path resolution. STEP 0 narrows from a global canonical-path enforcement to a Claude-Code-marketplaces-only stale-clone guard. Step 1 SKILL_ROOT resolver walks a single precedence list (Claude plugin cache, then `~/.codex/skills/`, `~/.agents/skills/`, repo checkout, `./.skills/last30days` for `npx skills add`, CWD, Gemini). Adds SKILL.md frontmatter fallback to `render.py::_skill_version` so the badge no longer prints `v?` on installs that don't include `.claude-plugin/plugin.json`.
- Switch SKILL.md's `--plan` and `--competitors-plan` invocation templates from inline single-quoted JSON to heredoc-written tmpfiles. Apostrophes in resolved context strings ("McDonald's", "people's choice", "developer's") previously closed the outer single-quote and broke shell parsing before the engine started — observed in a Codex run during PR #400 testing. The engine's `parse_plan()` / `parse_competitors_plan()` already supported file paths (via `os.path.isfile()` probe); only the template prose changed. Fixes [#403](https://github.com/mvanhorn/last30days-skill/issues/403).
### Removed
- **BREAKING for Codex native-plugin users:** `.codex-plugin/plugin.json` and the matching SKILL_ROOT resolver branch in SKILL.md Step 1. Codex users should install via `npx skills add mvanhorn/last30days-skill` or copy the skill to `~/.codex/skills/last30days/`.
- **`skills/last30days/scripts/sync.sh`.** The maintainer dev-deploy script is gone. Every job it did has a better replacement: `npx skills add . -g -y` symlinks the working tree into every detected harness's skill dir (better than sync.sh's copy model — edits propagate live), `hermes skills install mvanhorn/last30days-skill --force` handles Hermes, `clawhub install last30days-official` handles OpenClaw, and the Claude marketplace cache target was a "test against the official install path" hack we shouldn't have been recommending in the first place. The `test_sync_cache_path_uses_skill_version` test was dropped along with it. CLAUDE.md, HERMES_SETUP.md, the PR template, and a render.py docstring were updated to drop references; CHANGELOG and historical docs (release notes, plan files) keep their existing mentions as accurate history.
## [3.2.0] - 2026-05-09
### Added
- Add `--emit=html` for shareable, print-friendly HTML research briefs.
- **Digg AI 1000 source** (auto-enabled when `digg-pp-cli` is on PATH). Surfaces curated story clusters from the AI 1000 leaderboard and pulls attributable X-post quotes into the brief as `[@handle](xUrl) via Digg AI 1000: ...` lines. Footer line: `⛏️ Digg AI 1000: N clusters │ K posts │ M authors`. No X auth required for the inline quotes since they flow through Digg's read-only endpoints.
## [3.1.1] - 2026-04-24
### Fixed
- **Codex plugin layout.** Move the canonical runtime payload under `skills/last30days/` and update Codex/Claude plugin metadata and tests for the relocated engine path.
- **Claude Code cache resolution.** Resolve Claude plugin installs to `skills/last30days/scripts/last30days.py` after the plugin-layout restructure.
## [3.1.0] - 2026-04-22
Consolidates the 3.0.10 to 3.0.14 dev cycle (commenter handles, `--competitors`, per-entity Step 0.55, vs-mode N passes, comparison title attribution) and republishes the OpenClaw bundle, which had been frozen on ClawHub at `3.0.0-open` since April 8.
### Added
- **OpenClaw republish.** `clawhub install last30days-official` now resolves to `3.1.0-open`, matching current main. Closes [#307](https://github.com/mvanhorn/last30days-skill/issues/307), [#195](https://github.com/mvanhorn/last30days-skill/issues/195), [#236](https://github.com/mvanhorn/last30days-skill/issues/236). The ClawHub bundle had shipped a broken `env.py get_config()` and stale SKILL.md path references since April; both are fixed at source on main and the republish carries the fixes to installers.
### Fixed
- **Claude Code plugin manifest path-escape.** The `.claude-plugin/plugin.json` `skills` key was removed in commit `93fbed2` but never shipped in a tagged release. Installing via `/plugin install last30days-skill` could hit `/doctor`'s `Path escapes plugin directory: ./ (skills)` error. This release ships the fix. Closes [#306](https://github.com/mvanhorn/last30days-skill/issues/306).
- **Broken README link.** The README's "source of truth" link pointed at `skills/last30days/SKILL.md`, a path that does not exist. Fixed to point at root `SKILL.md`.
### Dev cycle journal (3.0.10 - 3.0.14, not separately tagged)
Individual changelog entries for 3.0.10 through 3.0.14 below document the incremental work consolidated into this release.
## [3.0.14] - 2026-04-22
### Changed
@@ -107,7 +61,6 @@ Individual changelog entries for 3.0.10 through 3.0.14 below document the increm
### Fixed
- **TikTok author preference.** `_fetch_post_comments` in `scripts/lib/tiktok.py` preferred `user.nickname` over `user.unique_id`, so the engine captured display names ("Moosa Noormahomed") instead of @handles ("moosanoormahomed"). Flipped to prefer `unique_id`. Nickname still wins as a fallback when `unique_id` is missing. Display names can contain emoji, spaces, and non-Latin characters that do not round-trip to a profile URL; the @handle is the stable identifier.
- **Single plugin payload layout.** The canonical runtime moved to `skills/last30days/` for both Claude Code and Codex plugin loading. Root-level `SKILL.md`, `scripts/`, `agents/`, and `assets/` are no longer maintained as duplicate copies.
### Behavior fallback
+7 -7
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@@ -4,20 +4,20 @@ Claude Code skill for researching any topic across Reddit, X, YouTube, and web.
Python scripts with multi-source search aggregation.
## Structure
- `skills/last30days/SKILL.md` — canonical skill definition
- `skills/last30days/scripts/last30days.py` — main research engine
- `skills/last30days/scripts/lib/` — search, enrichment, rendering modules
- `skills/last30days/scripts/lib/vendor/bird-search/` — vendored X search client
- `scripts/last30days.py` — main research engine
- `scripts/lib/`search, enrichment, rendering modules
- `scripts/lib/vendor/bird-search/` — vendored X search client
- `SKILL.md` — skill definition (deployed to ~/.claude/skills/last30days/)
## Commands
```bash
python3 skills/last30days/scripts/last30days.py "test query" --emit=compact
npx skills add . -g -y # one-time: symlink this repo into every detected harness's skill dir
python3 scripts/last30days.py "test query" --emit=compact # Run research
bash scripts/sync.sh # Deploy to ~/.claude, ~/.agents, ~/.codex
```
## Rules
- `lib/__init__.py` must be bare package marker (comment only, NO eager imports)
- One-time setup: `npx skills add . -g -y` creates symlinks from each detected harness's skill dir to this repo. Edits in the working tree propagate live to every harness — no re-deploy step needed.
- After edits: run `bash scripts/sync.sh` to deploy
- Git remote: origin = public (`mvanhorn/last30days-skill`)
## Beta channel
+22 -12
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@@ -10,20 +10,28 @@ This guide covers installing last30days on Hermes AI Agent.
## Installation
### Option 1: Via sync.sh (Recommended)
```bash
hermes skills install mvanhorn/last30days-skill --force
# Clone the repo
git clone https://github.com/mvanhorn/last30days-skill.git
cd last30days-skill
# Run the sync script
bash scripts/sync.sh
```
This pulls the latest release from GitHub and deploys to `~/.hermes/skills/research/last30days/`. `--force` reinstalls over any existing copy.
This will auto-detect Hermes and deploy to `~/.hermes/skills/research/last30days/`
### Developer / live-edit alternative
If you're hacking on the skill locally and want edits to propagate to Hermes without re-installing, symlink your working tree:
### Option 2: Manual Copy
```bash
git clone https://github.com/mvanhorn/last30days-skill.git
mkdir -p ~/.hermes/skills/research
ln -s "$(pwd)/last30days-skill/skills/last30days" ~/.hermes/skills/research/last30days
# Create directory
mkdir -p ~/.hermes/skills/research/last30days
# Copy files
cp -r scripts ~/.hermes/skills/research/last30days/
cp .hermes-plugin/SKILL.md ~/.hermes/skills/research/last30days/
```
## Usage
@@ -98,11 +106,13 @@ python3.12 scripts/last30days.py --diagnose
## Updating
```bash
hermes skills install mvanhorn/last30days-skill --force
```
To update to the latest version:
If you symlinked your working tree (developer alternative above), just `git pull` in the repo — edits propagate live, no re-install step.
```bash
cd last30days-skill
git pull
bash scripts/sync.sh
```
## Support
+32 -104
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@@ -12,20 +12,23 @@
**An AI agent-led search engine scored by upvotes, likes, and real money - not editors.**
This README tracks the current v3 pipeline. The runtime skill spec lives in [SKILL.md](SKILL.md), which is the source of truth for the latest command and setup behavior.
This README tracks the current v3 pipeline. The runtime skill spec lives in [skills/last30days/SKILL.md](skills/last30days/SKILL.md), which is the source of truth for the latest command and setup behavior.
**Claude Code (recommended — auto-updates via marketplace):**
Claude Code:
```
/plugin marketplace add mvanhorn/last30days-skill
```
**Codex, Cursor, Copilot, Gemini CLI, or any of 50+ [Agent Skills](https://agentskills.io) hosts:**
OpenClaw:
```
npx skills add mvanhorn/last30days-skill -g
clawhub install last30days-official
```
(`-g` installs globally for your user, available across all projects. Drop it to scope per-project.)
More install options (claude.ai web, OpenClaw, manual) in the [Install](#install) section below.
Hermes:
```
# The skill auto-deploys when you run sync.sh
# Or manually copy to ~/.hermes/skills/research/last30days/
```
Zero config. Reddit, HN, Polymarket, and GitHub work immediately. Run it once and the setup wizard unlocks X, YouTube, TikTok, and more in 30 seconds.
@@ -65,7 +68,6 @@ If you're meeting with a CEO, have you read all their tweets and YouTube transcr
| **Hacker News** | The developer consensus. 825 points, 899 comments. Where technical people actually argue. |
| **Polymarket** | Not opinions. Odds. Backed by real money. 96% confidence on album sales. 4% on an acquisition. |
| **GitHub** | For people: PR velocity, top repos by stars, release notes. For topics: issues and discussions. |
| **Digg** | Curated story clusters from Digg's AI 1000 leaderboard (~1000 high-signal AI accounts on X), with attributable inline quotes (no X auth required). Auto-enabled when `digg-pp-cli` is on PATH. |
| **Threads** | The post-Twitter text layer. Conversations from creators and brands. |
| **Pinterest** | Visual discovery. Pins, saves, and comments on products and ideas. |
| **Bluesky** | The decentralized social layer. AT Protocol posts from the post-Twitter migration. |
@@ -94,28 +96,6 @@ The synthesis ranks by what real people actually engaged with. Social relevancy,
## What v3 Changed
### Shareable HTML briefs
Ask for an HTML brief and the skill saves a self-contained, dark-mode, print-friendly file you can drop into Slack, email, or Notion. No raw markdown leaks. Inline CSS, system-font fallbacks behind Inter and JetBrains Mono. No JavaScript. Works offline.
```
/last30days OpenClaw --emit=html
```
or just ask in plain language:
```
/last30days OpenClaw, give me a shareable HTML brief
/last30days Cursor IDE for slack
/last30days Anthropic earnings export as html
```
The skill emits the synthesis in chat as usual AND saves a brief to `${LAST30DAYS_MEMORY_DIR}/{topic}-brief.html` (defaults to `~/Documents/Last30Days/`). The chat response ends with the file path so you can `open` it or drag it into a message.
What's in the file: badge, inline metadata line, the model's synthesis verbatim with all citations, the engine footer (✅ All agents reported back! tree), and a colophon noting the topic + how to re-run. Data quality warnings (degraded run, thin evidence, etc.) stay in the engine's stderr logs; they never leak into the shareable artifact.
For direct CLI use without the model in the loop, the engine also accepts `--synthesis-file PATH` to convert any markdown synthesis to HTML.
### Intelligent search: the killer feature
The v3 engine doesn't just search for your topic. It figures out *where* to search before the search begins. Type "OpenClaw" and the engine resolves @steipete (Peter Steinberger, the creator), r/openclaw, r/ClaudeCode, and the right YouTube channels and TikTok hashtags - all via a new Python pre-research brain built by [@j-sperling](https://github.com/j-sperling). The old engine searched keywords. The new engine understands your topic first, then searches the right people and communities.
@@ -165,62 +145,12 @@ Say "eli5 on" after any research run. The synthesis rewrites in plain language.
## Install
| Surface | Install | Updates |
|---------|---------|---------|
| **Claude Code** (recommended) | `/plugin marketplace add mvanhorn/last30days-skill` | Auto via marketplace, or `claude plugin update last30days@last30days-skill` |
| **Codex, Cursor, Copilot, Gemini CLI, GitHub Copilot, or any of 50+ [Agent Skills](https://agentskills.io) hosts** | `npx skills add mvanhorn/last30days-skill -g` | `npx skills update last30days -g` |
| **claude.ai** (web) | [Download `last30days.skill`](https://github.com/mvanhorn/last30days-skill/releases/latest/download/last30days.skill) and upload via Settings > Capabilities > Skills > + | Re-download and re-upload |
| **Claude Desktop** | [Download the `.mcpb` for your platform](https://github.com/mvanhorn/last30days-skill/releases/latest) and drag into Settings > Extensions | Re-download and drag the new bundle in |
| **OpenClaw** | `clawhub install last30days-official` | `clawhub update last30days-official` |
### Claude Code (recommended)
```
/plugin marketplace add mvanhorn/last30days-skill
```
Recommended because the Claude Code marketplace handles updates for you — the plugin cache is versioned and auto-refreshes when a new release publishes. Run `claude plugin update last30days@last30days-skill` to force a check.
If you'd rather use the agent-skills install path on Claude Code, that's also supported:
```
npx skills add mvanhorn/last30days-skill -g -a claude-code
```
The native plugin and the `npx skills` install can coexist; Claude Code dedupes the slash command.
### Codex, Cursor, Copilot, Gemini CLI, and other Agent Skills hosts
Install via the open [Agent Skills](https://agentskills.io) CLI — supports 50+ harnesses including `codex`, `cursor`, `github-copilot`, `gemini-cli`, `claude-code`, `windsurf`, `cline`, `continue`, `roo`, `aider-desk`, `opencode`, `goose`, and more (full list on the [vercel-labs/skills repo](https://github.com/vercel-labs/skills)).
```bash
npx skills add mvanhorn/last30days-skill -g
```
The `-g` (global) flag installs to your user directory so the skill is available across all projects. Without `-g`, `npx skills` installs project-locally into `./.skills/` (committed with the repo). For a research-the-world tool, global is what you want.
By default this installs for whichever harness `npx skills` detects. To target a specific one (or multiple):
```bash
npx skills add mvanhorn/last30days-skill -g -a codex
npx skills add mvanhorn/last30days-skill -g -a cursor
npx skills add mvanhorn/last30days-skill -g -a gemini-cli
npx skills add mvanhorn/last30days-skill -g -a codex -a cursor
```
Update later with:
```bash
npx skills update last30days -g
```
Or update everything you've installed globally via `npx skills`:
```bash
npx skills update -g
```
List and remove with `npx skills list -g` and `npx skills remove last30days -g`.
| Surface | Install |
|---------|---------|
| **claude.ai** (web) | [Download `last30days.skill`](https://github.com/mvanhorn/last30days-skill/releases/latest/download/last30days.skill) and upload via Settings > Capabilities > Skills > + |
| **Claude Code** | `/plugin marketplace add mvanhorn/last30days-skill` |
| **OpenClaw** | `clawhub install last30days-official` |
| **Gemini CLI** | Clone then `gemini extensions install ./last30days-skill` (see below) |
### claude.ai (web)
@@ -228,25 +158,15 @@ List and remove with `npx skills list -g` and `npx skills remove last30days -g`.
2. Go to [claude.ai Settings > Capabilities > Skills](https://claude.ai/settings/capabilities)
3. Click the `+` button in the Skills panel and drop the file in
Enable "Code execution and file creation" under Capabilities first skills won't run without it.
Enable "Code execution and file creation" under Capabilities first - skills won't run without it.
### Claude Desktop
### Claude Code
Claude Desktop installs `/last30days` as an MCP server via a `.mcpb` bundle (a one-click Model Context Protocol package).
```
/plugin marketplace add mvanhorn/last30days-skill
```
1. Go to the [latest release](https://github.com/mvanhorn/last30days-skill/releases/latest) and download the `.mcpb` for your platform:
- macOS Apple Silicon: `last30days-pp-mcp-darwin-arm64.mcpb`
- macOS Intel: `last30days-pp-mcp-darwin-amd64.mcpb`
- Linux x86_64: `last30days-pp-mcp-linux-amd64.mcpb`
2. Open Claude Desktop, go to Settings > Extensions, and drag the file in.
3. When prompted, paste API keys for the sources you want to enable. Every field is optional — the engine degrades to web-only mode if you skip them all. Keys are stored in your OS keychain.
4. Restart Claude Desktop. Ask Claude to "research Peter Steinberger" or any topic and it will call the `research` tool.
**Host requirement:** Python 3.12+ on PATH. The bundle ships the engine source but uses your local Python interpreter. Install from [python.org](https://www.python.org/downloads/) on Windows; macOS and most Linux distros ship a compatible version.
**Keys don't sync with the Code skill.** Claude Desktop and Claude Code maintain separate credential stores by design. If you already configured `~/.config/last30days/.env` for the Code skill, you'll re-enter the same keys here once.
Windows support is deferred until per-platform manifest entry points are sorted out; track in a follow-up issue.
Update later with `claude plugin update last30days@last30days-skill`.
### OpenClaw
@@ -254,14 +174,22 @@ Windows support is deferred until per-platform manifest entry points are sorted
clawhub install last30days-official
```
### Gemini CLI
Gemini CLI v0.9.0 has an upstream installer bug that can fail with `Configuration file not found at /tmp/gemini-extensionXXXXXX/gemini-extension.json` ([upstream issue](https://github.com/google-gemini/gemini-cli/issues/11452)). Workaround:
```bash
git clone https://github.com/mvanhorn/last30days-skill
gemini extensions install ./last30days-skill
```
### Manual (developer)
```bash
git clone https://github.com/mvanhorn/last30days-skill.git
ln -s "$(pwd)/last30days-skill/skills/last30days" ~/.claude/skills/last30days
git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
```
The symlink keeps the install in sync with your working tree as you edit — no re-copy needed. For `claude.ai`, build the `.skill` file from source: `bash skills/last30days/scripts/build-skill.sh` produces `dist/last30days.skill`.
Or build the claude.ai `.skill` file from source: `bash scripts/build-skill.sh` produces `dist/last30days.skill`.
Reddit (with comments), Hacker News, Polymarket, and GitHub work immediately. Zero configuration. Run `/last30days` once and the setup wizard unlocks more sources in 30 seconds.
+37 -144
View File
@@ -1,6 +1,6 @@
---
name: last30days
version: "3.2.3"
version: "3.0.1"
description: "Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web."
argument-hint: 'last30days nvidia earnings reaction | last30days AI video tools | last30days what users want in react'
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
@@ -45,7 +45,6 @@ metadata:
- instagram
- hackernews
- polymarket
- digg
- bluesky
- truthsocial
- trends
@@ -60,32 +59,23 @@ metadata:
- clawhub
---
# STEP 0: STALE-CLONE SELF-CHECK — RUN BEFORE READING BELOW
# STEP 0: CANONICAL PATH SELF-CHECK — RUN BEFORE READING BELOW
Before reading anything else in this file, check whether you loaded SKILL.md from the one known stale-clone location: Claude Code's marketplaces directory.
**Run this check:**
Before reading anything else in this file, verify that the SKILL.md you just loaded is the versioned cache copy, not a stale marketplace clone:
```bash
CLAUDE_CACHE_LATEST=$(find "$HOME/.claude/plugins/cache/last30days-skill/last30days" -mindepth 1 -maxdepth 1 -type d 2>/dev/null | sort -V | tail -1)
# Two cache layouts ship in the wild — nested ({version}/skills/last30days/SKILL.md)
# and flat ({version}/SKILL.md). Resolve to whichever shape actually exists.
CLAUDE_CACHE_SKILL_MD=""
if [ -n "$CLAUDE_CACHE_LATEST" ]; then
if [ -f "$CLAUDE_CACHE_LATEST/skills/last30days/SKILL.md" ]; then
CLAUDE_CACHE_SKILL_MD="$CLAUDE_CACHE_LATEST/skills/last30days/SKILL.md"
elif [ -f "$CLAUDE_CACHE_LATEST/SKILL.md" ]; then
CLAUDE_CACHE_SKILL_MD="$CLAUDE_CACHE_LATEST/SKILL.md"
fi
fi
echo "CLAUDE_CACHE_SKILL_MD=$CLAUDE_CACHE_SKILL_MD"
CANONICAL_ROOT="$HOME/.claude/plugins/cache/last30days-skill/last30days"
CANONICAL_LATEST=$(ls -d "$CANONICAL_ROOT"/*/ 2>/dev/null | sort -V | tail -1)
CANONICAL_LATEST="${CANONICAL_LATEST%/}"
```
If the SKILL.md path you just Read contains `/.claude/plugins/marketplaces/` AND `$CLAUDE_CACHE_SKILL_MD` is non-empty, STOP and re-read `$CLAUDE_CACHE_SKILL_MD` before proceeding. Otherwise the SKILL.md you have is fine — continue.
If the SKILL.md file you just read is NOT under `$CANONICAL_LATEST/`, STOP and re-read `$CANONICAL_LATEST/SKILL.md` before proceeding. Do not run `--help`, do not plan, do not invoke the engine against any other path.
**Why this specific check:** `~/.claude/plugins/marketplaces/last30days-skill/` is a git clone Claude Code auto-restores to `origin/main` on session start. It can lag the versioned cache by one or more releases. Three 2026-04-22 test runs (Linear, Coinbase) loaded SKILL.md from `marketplaces/`, ran `--help` from the same stale path, did not see the `--competitors` flag that existed in the cache, and fell back to a manual comparison plan. Result: 2 of 3 windows never invoked the feature they were asked to test. STEP 0 defends against that one Claude Code-specific bug.
**Why:** `~/.claude/plugins/marketplaces/last30days-skill/` is a git clone Claude Code auto-restores to `origin/main` on session start. It can lag the versioned cache by one or more releases. Three 2026-04-22 test runs (Linear, Coinbase) loaded SKILL.md from `marketplaces/`, ran `--help` from the same stale path, did not see the `--competitors` flag that existed in the cache, and fell back to a manual comparison plan. Result: 2 of 3 windows never invoked the feature they were asked to test.
**Other install paths are fine:** `~/.codex/skills/`, `~/.agents/skills/`, an `npx skills add` install dir, or a repo checkout are all valid load points - the resolver in Step 1 picks them up. Do NOT abort or hop on those paths.
**How to self-check:** the file path you used in your last Read tool call should match `$CANONICAL_LATEST/SKILL.md`. If it contains `marketplaces/` or any other prefix, that is the stale-path failure mode. Re-read from `$CANONICAL_LATEST/SKILL.md` and restart this contract from the top.
The same pinned resolver appears later in Step 1 for the engine Bash invocation. That guard is necessary but insufficient — by the time you reach Step 1, you may have already internalized an out-of-date flag list from the stale SKILL.md above it. This STEP 0 runs first so the CONTRACT itself is read from the right file.
---
@@ -97,7 +87,7 @@ You are inside the `/last30days` SKILL. This is a specific research tool with a
**How v3.0.7 fixes it:** three structural anchors.
1. **The MANDATORY first-line badge** (`🌐 last30days v{VERSION} · synced {YYYY-MM-DD}`) at the top of every response is the LAW 2 / LAW 4 enforcement anchor. See "BADGE (MANDATORY, FIRST LINE OF OUTPUT)" in the synthesis section.
2. **The SKILL_ROOT resolver** in the engine Bash calls walks a precedence list of known install locations and picks the highest-versioned freshest copy, never `~/.openclaw/` or other stale copies.
2. **The pinned SKILL_ROOT resolution** in the engine Bash calls always points to the public plugin cache, never `~/.openclaw/` or other stale copies.
3. **This preface** tells you plainly: do NOT improvise. Follow SKILL.md top to bottom.
If you catch yourself about to write a `##` section header in a GENERAL-query body, a custom title line, a `Sources:` bullet list, a `for dir in ...` path-discovery loop, or a bare `python3 scripts/last30days.py "{TOPIC}"` engine call with no pre-flight flags — stop. Those are the exact failure modes the LAWs and this contract exist to prevent. The 10/10 beta validation from 2026-04-18 and the 0/8 public v3.0.6 regression from the same day had THE SAME MODEL and SIMILAR SKILL.md CONTENT; the delta is the three anchors this release restores. Read SKILL.md top to bottom before emitting your first response.
@@ -114,7 +104,7 @@ These anchors used to live at line 1094 of this file. Three independent Opus 4.7
🌐 last30days v{VERSION} · synced {YYYY-MM-DD}
```
Replace `{VERSION}` with the installed plugin version (`jq -r '.version' "$SKILL_ROOT/../../.claude-plugin/plugin.json" 2>/dev/null || awk '/^version:/{gsub(/"/,"",$2); print $2; exit}' "$SKILL_ROOT/SKILL.md"`) and `{YYYY-MM-DD}` with today's date. No other text on this line. One blank line after, then the synthesis begins.
Replace `{VERSION}` with the installed plugin version (`jq -r '.version' "$SKILL_ROOT/.claude-plugin/plugin.json"`) and `{YYYY-MM-DD}` with today's date. No other text on this line. One blank line after, then the synthesis begins.
**Why the badge is MANDATORY:** it is the structural anchor for the canonical output shape. Without it the model drifts into blog-post narrative format with `##` section headers and invented titles, violating LAW 2 and LAW 4. The 2026-04-18 public v3.0.6 0/8 regression produced outputs with section headers like "The headline", "Why he is everywhere", "1. gstack dominates", "The 'Homecoming' peak". Direct cause: this anchor was absent. Do NOT skip the badge. Do NOT describe it. Do NOT paraphrase it. Emit it verbatim as line 1.
@@ -186,13 +176,13 @@ The self-evolving loop is the sticky use case. Every 15 tool calls Hermes pauses
Cron-scheduled autonomous briefings are the most-cited concrete workflow. r/TunisiaTech's "Use cases of OpenClaw, Hermes Agent" thread says it plainly: "Currently I have daily cron jobs for news briefing, but I know there's much more I can do."
```
**LAW 7 - YOU ARE THE PLANNER. `--plan` IS MANDATORY ON NAMED-ENTITY TOPICS.** If you are the reasoning model hosting this skill (Claude Code, Codex, Hermes, Gemini, or any agent runtime that invoked `/last30days`), YOU generate the JSON query plan. You do not need an API key, "LLM provider" credentials, or an external planning service - you ARE the LLM. The `--plan` flag exists precisely so a reasoning model generates its own plan upstream and passes it to the engine. The engine's internal planner and deterministic fallback are headless/cron paths only; on any reasoning-model path, bypass them by passing `--plan "$QUERY_PLAN_FILE"` (the path to a tmpfile you wrote via heredoc — see Step 1 for the pattern; never inline `--plan '$JSON'`, apostrophes in search/ranking strings break shell parsing).
**LAW 7 - YOU ARE THE PLANNER. `--plan` IS MANDATORY ON NAMED-ENTITY TOPICS.** If you are the reasoning model hosting this skill (Claude Code, Codex, Hermes, Gemini, or any agent runtime that invoked `/last30days`), YOU generate the JSON query plan. You do not need an API key, "LLM provider" credentials, or an external planning service - you ARE the LLM. The `--plan` flag exists precisely so a reasoning model generates its own plan upstream and passes it to the engine. The engine's internal planner and deterministic fallback are headless/cron paths only; on any reasoning-model path, bypass them by passing `--plan '$JSON'`.
Named-entity topics (capitalized proper nouns, product names, person names, project names, or any topic that would benefit from handle resolution in Step 0.55) REQUIRE `--plan`. Your invocation of `scripts/last30days.py` MUST contain `--plan "$QUERY_PLAN_FILE"` (or any path the engine can read). A bare `python3 scripts/last30days.py "$TOPIC" --emit=compact` on a named-entity topic is a LAW 7 violation. Before you invoke Bash, self-check: does my command contain `--plan`? If no, STOP and generate a plan first (see Step 0.75 for the schema).
Named-entity topics (capitalized proper nouns, product names, person names, project names, or any topic that would benefit from handle resolution in Step 0.55) REQUIRE `--plan`. Your invocation of `scripts/last30days.py` MUST contain `--plan '$JSON'`. A bare `python3 scripts/last30days.py "$TOPIC" --emit=compact` on a named-entity topic is a LAW 7 violation. Before you invoke Bash, self-check: does my command contain `--plan`? If no, STOP and generate a plan first (see Step 0.75 for the schema).
**Observed LAW 7 violation (2026-04-19, Hermes Agent Use Cases Run 1):** the model called the engine bare with no `--plan`, no pre-flight handle resolution. The engine emitted a stderr warning ("No --plan and no LLM provider configured. Using deterministic fallback...") which the model read as a capability constraint ("I don't have a key, I can't do LLM stuff") instead of as what it actually was: a reminder that the reasoning model skipped its own planning step. The misread came from the word "provider" - the engine uses "provider" to mean "the key for the engine's INTERNAL planner," but the model parsed it as "I need a provider to plan at all." You do not. You ARE the provider. Run 2 of the same topic (2026-04-19, framed as "best workflows") with the same model and same cache generated the plan itself via `--plan` and produced clean results - the delta was this step.
**Self-check before Bash:** re-read your pending `scripts/last30days.py` command. Does it contain `--plan "$QUERY_PLAN_FILE"` (or another path the engine can read)? If no, and the topic is a named entity, STOP. Return to Step 0.75 and generate the plan, then write it to a tmpfile per the Step 1 pattern. Do not interpret the word "provider" in any engine message as "you need credentials" - you are the provider.
**Self-check before Bash:** re-read your pending `scripts/last30days.py` command. Does it contain `--plan '$JSON'`? If no, and the topic is a named entity, STOP. Return to Step 0.75 and generate the plan. Do not interpret the word "provider" in any engine message as "you need credentials" - you are the provider.
**LAW 8 - EVERY CITATION IN THE NARRATIVE IS AN INLINE MARKDOWN LINK `[name](url)`. NEVER A RAW URL STRING. NEVER A PLAIN NAME WHEN A URL IS AVAILABLE.** Applies to every query type. In the "What I learned:" narrative, in KEY PATTERNS, and in the COMPARISON body sections, every cited @handle, r/subreddit, publication, YouTube channel, TikTok creator, Instagram creator, and Polymarket market is wrapped as `[name](url)` at first mention. The URL comes from the raw research dump — every engine item carries a URL; WebSearch supplements carry URLs in their own output. Claude Code renders `[text](url)` as blue CMD-clickable text; the URL is hidden in the rendering, only the link text shows. The stats footer (emoji-tree block) is engine-emitted per LAW 5 and passes through verbatim — do NOT reformat its links yourself.
@@ -243,7 +233,7 @@ If your Bash call to `last30days.py` does NOT include the FULL pre-flight checkl
---
# last30days v3.2.3: Research Any Topic from the Last 30 Days
# last30days v3.0.1: Research Any Topic from the Last 30 Days
> **Permissions overview:** Reads public web/platform data and optionally saves research briefings to `LAST30DAYS_MEMORY_DIR` (defaults to `~/Documents/Last30Days`). X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). All credential usage and data writes are documented in the [Security & Permissions](#security--permissions) section.
@@ -327,7 +317,6 @@ Common patterns:
- Always active: Reddit, Hacker News, Polymarket
- If gh CLI is installed (check `which gh`): add GitHub
- If digg-pp-cli is installed (check `which digg-pp-cli`): add Digg
- If AUTH_TOKEN/CT0 or XAI_API_KEY or FROM_BROWSER is set, or xurl CLI is installed and authenticated: add X
- If yt-dlp is installed (check `which yt-dlp`): add YouTube
- If SCRAPECREATORS_API_KEY is set and INCLUDE_SOURCES contains tiktok: add TikTok
@@ -592,56 +581,18 @@ When the user asks "X vs Y" (or "X vs Y vs Z"), the engine fans out N full `pipe
**Invocation:**
```bash
# Comparison mode skips Step 1, so resolve SKILL_ROOT inline here (same precedence
# walk as Step 1 — keep the two in sync if you edit either).
SKILL_ROOT=""
CLAUDE_PLUGIN_ROOT="$(find "$HOME/.claude/plugins/cache/last30days-skill/last30days" -mindepth 1 -maxdepth 1 -type d 2>/dev/null | sort -V | tail -1)"
if [ -n "$CLAUDE_PLUGIN_ROOT" ]; then
if [ -f "$CLAUDE_PLUGIN_ROOT/skills/last30days/scripts/last30days.py" ]; then
SKILL_ROOT="$CLAUDE_PLUGIN_ROOT/skills/last30days"
elif [ -f "$CLAUDE_PLUGIN_ROOT/scripts/last30days.py" ]; then
SKILL_ROOT="$CLAUDE_PLUGIN_ROOT"
fi
fi
if [ -z "$SKILL_ROOT" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
for dir in \
"$HOME/.codex/skills/last30days" \
"$HOME/.agents/skills/last30days" \
"./skills/last30days" \
"./.skills/last30days" \
"." \
"${GEMINI_EXTENSION_DIR:-}"; do
[ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
done
fi
# Write the per-entity plan to a tmpfile and pass the path to the engine.
# The engine's parse_competitors_plan() reads file paths transparently. This
# avoids the inline-single-quoted-JSON apostrophe trap (resolved context
# strings like "people's choice" or "McDonald's" otherwise close the outer
# single-quote and break shell parsing before the engine is even invoked).
# Trailing XXXXXX (no .json suffix) so BSD/macOS mktemp works the same as
# GNU; BSD only substitutes X's at the end of the template.
COMPETITORS_PLAN_FILE=$(mktemp "${TMPDIR:-/tmp}/last30days-competitors.XXXXXX")
trap 'rm -f "$COMPETITORS_PLAN_FILE"' EXIT
cat > "$COMPETITORS_PLAN_FILE" <<'PLAN_EOF'
{
"{TOPIC_B}": {"x_handle":"{TOPIC_B_HANDLE}","subreddits":["{TOPIC_B_SUB_1}","{TOPIC_B_SUB_2}"],"github_user":"{TOPIC_B_GH}","context":"{TOPIC_B_CONTEXT}"},
"{TOPIC_C}": {"x_handle":"{TOPIC_C_HANDLE}","subreddits":["{TOPIC_C_SUB_1}"],"github_user":"{TOPIC_C_GH}","context":"{TOPIC_C_CONTEXT}"}
}
PLAN_EOF
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" "{TOPIC_A} vs {TOPIC_B} vs {TOPIC_C}" \
--emit=compact \
--save-dir="${LAST30DAYS_MEMORY_DIR}" \
--save-suffix=v3 \
--x-handle={TOPIC_A_HANDLE} \
--subreddits={TOPIC_A_SUBS} \
--competitors-plan "$COMPETITORS_PLAN_FILE"
--competitors-plan '{
"{TOPIC_B}": {"x_handle":"{TOPIC_B_HANDLE}","subreddits":["{TOPIC_B_SUB_1}","{TOPIC_B_SUB_2}"],"github_user":"{TOPIC_B_GH}","context":"{TOPIC_B_CONTEXT}"},
"{TOPIC_C}": {"x_handle":"{TOPIC_C_HANDLE}","subreddits":["{TOPIC_C_SUB_1}"],"github_user":"{TOPIC_C_GH}","context":"{TOPIC_C_CONTEXT}"}
}'
```
**The quoted heredoc marker `'PLAN_EOF'` is load-bearing** — quoting suppresses shell interpolation so apostrophes, `$`, backticks, etc. pass through verbatim. If you ever switch to an unquoted `<<PLAN_EOF`, every variable reference and apostrophe inside the JSON becomes a parse hazard.
Topic A (the main topic, first in the vs-string) uses outer `--x-handle`, `--x-related`, `--subreddits`, `--github-user`, `--github-repo`, `--tiktok-*`, `--ig-creators` as usual. Topics B and C get their targeting from `--competitors-plan` entries (keyed by entity name, case-insensitive).
**Step 0.55 for N entities.** The same pre-research protocol that applies to a single-entity topic applies to EACH entity in a vs-run. For N=3, that means 3 WebSearches for X handles, 3 for subreddits, 3 for GitHub, 3 for news context — or equivalent batched queries. A `## Resolved Entities` block with dashes for any entity means you skipped Step 0.55 for that one. Re-run with a corrected plan.
@@ -873,7 +824,7 @@ Only show lines for platforms where something was resolved. Skip empty lines. On
- For how_to: prioritize YouTube (tutorials) and Reddit (guides)
- Primary subquery weight = 1.0, secondary = 0.6-0.8, peripheral = 0.3-0.5
**Available sources (include ALL in primary subquery):** reddit, x, youtube, tiktok, instagram, hackernews, polymarket. Optional: bluesky, truthsocial, threads, pinterest, grounding (web search - only if user has Brave/Exa/Serper key), digg (Digg clusters - only if `digg-pp-cli` is on PATH)
**Available sources (include ALL in primary subquery):** reddit, x, youtube, tiktok, instagram, hackernews, polymarket. Optional: bluesky, truthsocial, threads, pinterest, grounding (web search - only if user has Brave/Exa/Serper key)
**Intent → freshness_mode mapping:**
- breaking_news, prediction → `strict_recent`
@@ -916,65 +867,34 @@ Store your plan as `QUERY_PLAN_JSON` - you'll pass it to the script in the next
**IMPORTANT: Include `--x-handle={RESOLVED_HANDLE}` in the command. For comparison mode: Pass `--x-handle={TOPIC_A_HANDLE}` to the first pass, `--x-handle={TOPIC_B_HANDLE}` to the second pass, and both to the head-to-head pass. Also include `--subreddits={RESOLVED_SUBREDDITS}`, `--tiktok-hashtags={RESOLVED_HASHTAGS}`, `--tiktok-creators={RESOLVED_TIKTOK_CREATORS}`, and `--ig-creators={RESOLVED_IG_CREATORS}` from Step 0.55. Omit any flag where the value was not resolved (empty).**
```bash
# Resolve SKILL_ROOT by walking a precedence list of known install locations.
# Claude Code plugin cache wins when present (highest version dir picked on upgrade),
# then common per-harness skill dirs, then a repo checkout.
SKILL_ROOT=""
# PIN SKILL_ROOT to the public plugin cache (highest-version dir wins on upgrade).
# DO NOT write your own path-discovery loop. The 2026-04-18 Peter Steinberger run 1
# regression was caused by a custom discovery loop landing on ~/.openclaw/skills/last30days/
# (a stale copy from a private-repo sync pattern). That path contains a pre-plan-007
# engine and produces non-canonical output. This pinned resolution ignores every stale
# copy (~/.openclaw/, ~/.agents/, ~/.codex/) and picks the plugin cache exclusively.
SKILL_ROOT="$(ls -d "$HOME/.claude/plugins/cache/last30days-skill/last30days/"*/ 2>/dev/null | sort -V | tail -1)"
SKILL_ROOT="${SKILL_ROOT%/}"
# 1. Claude Code plugin cache (versioned, sort -V picks freshest). Two cache layouts ship in the wild:
# nested ({cache}/{version}/skills/last30days/scripts/...) and flat ({cache}/{version}/scripts/...).
# `find` (not `ls + glob`) because zsh errors on globs that match nothing, leaking
# noisy "no matches found" stderr in Codex/zsh sessions even with 2>/dev/null.
CLAUDE_PLUGIN_ROOT="$(find "$HOME/.claude/plugins/cache/last30days-skill/last30days" -mindepth 1 -maxdepth 1 -type d 2>/dev/null | sort -V | tail -1)"
if [ -n "$CLAUDE_PLUGIN_ROOT" ]; then
if [ -f "$CLAUDE_PLUGIN_ROOT/skills/last30days/scripts/last30days.py" ]; then
SKILL_ROOT="$CLAUDE_PLUGIN_ROOT/skills/last30days"
elif [ -f "$CLAUDE_PLUGIN_ROOT/scripts/last30days.py" ]; then
SKILL_ROOT="$CLAUDE_PLUGIN_ROOT"
fi
fi
# 2. Common per-harness skill dirs and repo checkout (npx skills, Codex, Agents, Gemini, etc).
# Fallback for repo checkout / Gemini / Codex hosts where the plugin cache does not exist.
# Only runs if the public plugin cache is missing entirely.
if [ -z "$SKILL_ROOT" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
for dir in \
"$HOME/.codex/skills/last30days" \
"$HOME/.agents/skills/last30days" \
"./skills/last30days" \
"./.skills/last30days" \
"." \
"${GEMINI_EXTENSION_DIR:-}"; do
for dir in "." "${CLAUDE_PLUGIN_ROOT:-}" "${GEMINI_EXTENSION_DIR:-}"; do
[ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
done
fi
if [ -z "${SKILL_ROOT:-}" ] || [ ! -f "$SKILL_ROOT/scripts/last30days.py" ]; then
echo "ERROR: Could not find scripts/last30days.py in any known install location" >&2
echo "Searched: ~/.claude/plugins/cache/, ~/.codex/skills/, ~/.agents/skills/, ./skills/last30days, ./.skills/last30days, ." >&2
echo "ERROR: Could not find scripts/last30days.py in public plugin cache or repo checkout" >&2
echo "Expected: $HOME/.claude/plugins/cache/last30days-skill/last30days/{VERSION}/scripts/last30days.py" >&2
exit 1
fi
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" $ARGUMENTS --emit=compact --save-dir="${LAST30DAYS_MEMORY_DIR}" --save-suffix=v3
```
**If you ran Steps 0.55 and 0.75 (agent planning), pass the plan via a tmpfile and add the targeting flags:**
```bash
# Write QUERY_PLAN_JSON to a tmpfile before the engine invocation above.
# parse_plan() reads file paths transparently; this avoids inline-JSON
# shell-quoting hazards (apostrophes in search_query / ranking_query
# strings break single-quoted command-line JSON). Trailing XXXXXX (no
# .json suffix) for BSD/macOS portability — BSD mktemp only substitutes
# X's at the end of the template.
QUERY_PLAN_FILE=$(mktemp "${TMPDIR:-/tmp}/last30days-plan.XXXXXX")
trap 'rm -f "$QUERY_PLAN_FILE"' EXIT
cat > "$QUERY_PLAN_FILE" <<'PLAN_EOF'
{QUERY_PLAN_JSON_FROM_STEP_0.75}
PLAN_EOF
```
Then add to the engine command:
- `--plan "$QUERY_PLAN_FILE"` (path to the file you just wrote)
**If you ran Steps 0.55 and 0.75 (agent planning), add these flags:**
- `--plan 'QUERY_PLAN_JSON'` (replace with actual JSON from Step 0.75)
- `--x-handle={RESOLVED_HANDLE}` (from Step 0.5)
- `--subreddits={RESOLVED_SUBREDDITS}` (from Step 0.55)
- `--tiktok-hashtags={RESOLVED_HASHTAGS}` (from Step 0.55)
@@ -1577,33 +1497,6 @@ Close with `I have all the links to the {N} {source list} I pulled from. Just as
---
## SHAREABLE HTML BRIEF (when the user asked for one)
**This section fires if EITHER trigger is true:**
- `$ARGUMENTS` contains `--emit=html`, `--emit:html`, or `--html` as a flag
- The user's natural-language request asks for an HTML brief, shareable doc, or file for sharing (Slack, email, Notion, "export as HTML", etc). Use your judgment for phrasing variants.
**If neither trigger fires, skip this entire section and proceed to WAIT FOR USER'S RESPONSE.** No HTML save flow, no reference read needed.
**When triggered, you MUST:**
- Read `references/save-html-brief.md` BEFORE proceeding to WAIT FOR USER'S RESPONSE
- Follow that file's instructions exactly - it is the canonical source for the save flow
- Append the confirmation line (`📎 Shareable brief saved to <path>`) to your already-emitted chat response
**You MUST NOT:**
- Improvise the HTML save flow from memory or from instructions you've seen before
- Skip the reference read because the steps "look familiar"
- Save to a different path than the reference specifies
- Add data quality warnings, debug headers, or safety notes to the saved HTML
- Re-research the topic for the HTML render - the engine cache covers the second invocation
**Why the directive is forceful:** the reference file is the only source of truth for the save flow. Skipping it produces broken artifacts - wrong path conventions, missing synthesis content, leaked engine debug output, or warnings that don't belong in shareable docs.
---
## WAIT FOR USER'S RESPONSE
**STOP and wait** for the user to respond. Do NOT call any tools after displaying the invitation. Do NOT append a `Sources:` section (see override above - WebSearch's mandate does not apply here). The research script already saved raw data to `LAST30DAYS_MEMORY_DIR` (defaults to `~/Documents/Last30Days`) via `--save-dir`.

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@@ -0,0 +1,396 @@
---
title: "marketing: v3.1 launch video — 30s Remotion piece for X"
type: feat
status: active
date: 2026-04-22
---
# marketing: v3.1 launch video — 30s Remotion piece for X
## Overview
Build a 30-second Remotion-rendered MP4 marketing video announcing **v3.1: Competitors mode** for `/last30days`. Posts to X. Frames the new vs-mode-with-auto-discovery as the headline — three full passes, three save files, one comparison — without burying it in CLI minutiae.
Marketing release tag is **v3.1** (rebrands the 3.0.11-3.0.14 bundle into one shippable narrative for the launch tweet). Engine version stays 3.0.14 — `3.1` is the marketing version, not a code version bump.
## Script (60 frames per second × 30 seconds = 900 frames; this version assumes 30fps × 30s = 900 frames at 30fps)
Total runtime: 30.0 seconds @ 30fps = 900 frames. Six scenes, on-screen text only (silent autoplay-friendly).
### Scene 1 — Hook (0:00 0:03 | frames 0-90)
**Visual:** Black background. The `/last30days` badge animates in (the literal `🌐 last30days v3.1 · synced 2026-04-22` line) with the spring scale-in used in slick devtool intros.
**Caption (overlay, large):**
```
What if one search
ran 3 at once?
```
### Scene 2 — Set the world (0:03 0:08 | frames 90-240)
**Visual:** Single mac terminal window center-stage. Type-on animation:
```
$ /last30days OpenAI
```
Below it, a simple result card stub appears (Reddit upvote count + X likes), then static.
**Caption (small bottom-left):**
```
The old way: one topic.
```
### Scene 3 — The reveal (0:08 0:14 | frames 240-420)
**Visual:** The terminal types one more flag:
```
$ /last30days OpenAI --competitors
```
Hard cut → the single terminal **splits into 3 panes** side by side. Each pane shows a different topic header animating in, in this order:
- Left: `OpenAI`
- Middle: `vs Anthropic`
- Right: `vs xAI`
Pane content scrolls fake "search progress" lines (Reddit, X, YouTube indicators) in parallel, like a live fan-out.
**Caption (top center):**
```
Now it discovers competitors
and runs all 3.
```
### Scene 4 — Result reveal (0:14 0:21 | frames 420-630)
**Visual:** The 3 panes collapse into a single comparison surface — the `## Head-to-Head` table from the actual engine output, with rows fading in one by one (What it is, Streams, Best for, Trajectory). Each entity column lights up as its row populates.
**Caption (bottom):**
```
3 full passes. 3 save files.
1 comparison.
```
### Scene 5 — How it's special (0:21 0:26 | frames 630-780)
**Visual:** Cut to a clean text card, large mono font:
```
You pick the topic.
The agent picks the peers.
The engine fans out.
```
Each line fades in 1.5s apart.
### Scene 6 — CTA (0:26 0:30 | frames 780-900)
**Visual:** Black background. Centered:
- Top: `🌐 last30days v3.1`
- Middle: `/last30days {topic} --competitors`
- Bottom: `github.com/mvanhorn/last30days-skill`
Subtle pulse on the install line.
**End frame holds for ~0.5s.**
## Problem Frame
The 3.0.11-3.0.14 release bundle ships a transformative feature (per-entity vs-mode fanout + `--competitors` shortcut + per-entity save files), but the value lands flat in a tweet thread or screenshot. A 30s video does what static text cannot: shows the fan-out happening in real time and the 3 → 1 collapse into a comparison. Higher tweet engagement, easier to RT/QT.
## Requirements Trace
- R1. Final artifact: a single MP4 file, 1920×1080, 30fps, ~30 seconds (±0.5s), under 30MB, suitable for direct X upload.
- R2. Six-scene script as defined above, with text/visuals/timing matching to within 5 frames.
- R3. Branded look: matches the `🌐 last30days v3.1` badge style (terminal aesthetic, mono font, dark background).
- R4. Silent — no voiceover, no music in v1. Captions baked in. Designed for autoplay-muted feeds.
- R5. Reproducible: another contributor (or a future-me) can re-render with one command. Project lives in-repo so the source is versioned.
## Scope Boundaries
- No voiceover. Text-on-screen only. (Voice can be a v1.1 if engagement is high.)
- No background music in the rendered MP4. (Music can be added in post via QuickTime/iMovie if desired before posting.)
- No localization. English captions only.
- No A/B test variants. One video.
- No 9:16 vertical version. 16:9 only. (Vertical can be a separate render after launch validates the format.)
### Deferred to Separate Tasks
- Voiceover variant: defer to follow-up if v1 lands well.
- 9:16 mobile cut: defer; same source compositions can re-render at 1080×1920 in a follow-up.
- Animated GIF for embedding in README.md: defer; can be ffmpeg-extracted from the MP4.
## Context & Research
### Relevant Code and Patterns
- `SKILL.md` — the comparison render scaffold (`## Head-to-Head` table) is the visual reference for Scene 4's table look.
- `scripts/lib/render.py` `_render_comparison_scaffold` — emits the 9-axis table whose visual style we're recreating in a more polished form.
- `CHANGELOG.md` 3.0.11-3.0.14 entries — the prose source for the script's beats.
- `.claude-plugin/plugin.json` version 3.0.14 — current code version (marketing version is 3.1 for the launch).
### External References
- Remotion 4.x docs (https://www.remotion.dev/docs/) — current API for compositions, sequences, springs, and render CLI.
- X video specs 2026: max 2 min 20 s, ≤512MB, MP4 with H.264 + AAC, recommended 1920×1080 for landscape autoplay.
### Institutional Learnings
- No prior `marketing/` dir or video plans in `docs/plans/`. This is a greenfield asset directory.
## Key Technical Decisions
- **Remotion, not ffmpeg-only.** Remotion's React-based compositions handle the typed-on terminal effect, spring-animated badges, and scene transitions far more cleanly than raw ffmpeg filtergraphs. Render output is still MP4 via Remotion's bundled ffmpeg.
- **In-repo asset directory at `marketing/v3.1-launch/`.** Lives with the product so future versions can fork the project. Adds `marketing/` to `.gitignore` exceptions only for source files; rendered MP4 stays out of git (uploaded separately).
- **16:9 1920×1080 @ 30fps.** Best fit for X landscape autoplay on desktop and mobile feed. 30fps is plenty for typed-text + UI animation; 60fps doubles render time without obvious quality gain.
- **Silent + captions.** X autoplay defaults to muted. Sound-off is the realistic viewing condition. Captions baked into the visual.
- **Six scenes, one composition.** Single Remotion composition with sequenced child compositions per scene. Easier to re-time than scene-files. Frame-numbered timing in the script enables precise edits.
- **Mono font (JetBrains Mono or Geist Mono).** Matches the terminal aesthetic of the actual `/last30days` output. Available via Google Fonts or @remotion/google-fonts.
- **Marketing version 3.1 ≠ engine version 3.0.14.** `3.1` is the launch label. Engine stays 3.0.14. Avoids confusion in CHANGELOG.
## Open Questions
### Resolved During Planning
- **Aspect ratio?** 16:9 1080p. Best X autoplay format; vertical can be a follow-up.
- **Voiceover or silent?** Silent + on-screen captions. Autoplay-muted is the realistic condition.
- **In-repo or separate repo?** In-repo at `marketing/v3.1-launch/`. Rendered MP4 not committed; source compositions are.
- **Length?** Exactly 30s (900 frames @ 30fps). No flex.
- **Marketing version label?** `v3.1`. Engine code version stays 3.0.14.
### Deferred to Implementation
- Exact animation easing curves per scene — pick during build via Remotion preview iteration.
- Whether the comparison-table mock in Scene 4 uses canned text or pulls from the actual saved `*-raw.md` files. Probably canned for visual control.
- Whether Scene 3's "search progress" lines are typed individually or use a marquee scroll. Pick during preview.
- Exact accent color palette beyond "terminal dark." Iterate against preview.
## Output Structure
marketing/
v3.1-launch/
package.json # Remotion dependency manifest
tsconfig.json # TypeScript config
remotion.config.ts # Remotion render config (codec, fps, resolution)
src/
index.ts # Remotion entry — registers compositions
Root.tsx # Root composition definition
LaunchVideo.tsx # Main 30s composition that sequences scenes
scenes/
Scene1Hook.tsx
Scene2OldWay.tsx
Scene3FanOut.tsx
Scene4Comparison.tsx
Scene5HowItWorks.tsx
Scene6CTA.tsx
components/
TerminalWindow.tsx # Reusable mac-style terminal frame
TypedLine.tsx # Type-on animation primitive
ComparisonTable.tsx # The Head-to-Head table mock
BadgeBar.tsx # The 🌐 last30days v3.1 badge
lib/
timing.ts # Frame ranges per scene (single source of truth)
colors.ts # Brand palette
public/ # Static assets (logo, fonts if local)
out/ # Rendered MP4 lives here (gitignored)
README.md # How to preview/render
## High-Level Technical Design
> *Directional guidance for review — not implementation specification.*
```
LaunchVideo (durationInFrames = 900)
├── <Sequence from={0} durationInFrames={90}> <Scene1Hook />
├── <Sequence from={90} durationInFrames={150}> <Scene2OldWay />
├── <Sequence from={240} durationInFrames={180}> <Scene3FanOut />
├── <Sequence from={420} durationInFrames={210}> <Scene4Comparison />
├── <Sequence from={630} durationInFrames={150}> <Scene5HowItWorks />
└── <Sequence from={780} durationInFrames={120}> <Scene6CTA />
```
Per-scene components use `useCurrentFrame()` + `interpolate()` + `spring()` for timing. `TerminalWindow` is the dominant motif across scenes 2-4.
## Implementation Units
- [ ] **Unit 1: Remotion project scaffold**
**Goal:** Spin up a working Remotion project at `marketing/v3.1-launch/` that previews a blank composition and renders to MP4.
**Requirements:** R1, R5
**Files:**
- Create: `marketing/v3.1-launch/package.json`
- Create: `marketing/v3.1-launch/tsconfig.json`
- Create: `marketing/v3.1-launch/remotion.config.ts`
- Create: `marketing/v3.1-launch/src/index.ts`
- Create: `marketing/v3.1-launch/src/Root.tsx`
- Create: `marketing/v3.1-launch/README.md`
- Modify: `.gitignore` (add `marketing/v3.1-launch/out/`, `marketing/v3.1-launch/node_modules/`)
**Approach:**
- Use `npx create-video@latest --blank` (Remotion 4.x scaffolding) targeting `marketing/v3.1-launch/`. Strip the demo composition.
- Configure: 1920×1080, 30fps, H.264, AAC (audio codec needed even for silent — empty track).
- README documents `npm install`, `npm run preview` (Remotion Studio), `npm run render` (one-command MP4).
**Test scenarios:**
- Test expectation: none for scaffold, but verification = `npm run preview` opens Remotion Studio with a blank 30s composition; `npm run render` produces a black MP4 at the right resolution.
**Verification:**
- Studio loads at localhost:3000 with the empty `LaunchVideo` composition listed.
- A render produces `out/launch-video.mp4` at 1920×1080, 30s, valid MP4.
- [ ] **Unit 2: Reusable components (Terminal, TypedLine, BadgeBar)**
**Goal:** Build the three primitive components scenes 2-6 will compose. Each is independently previewable.
**Requirements:** R3, R5
**Dependencies:** Unit 1
**Files:**
- Create: `marketing/v3.1-launch/src/components/TerminalWindow.tsx`
- Create: `marketing/v3.1-launch/src/components/TypedLine.tsx`
- Create: `marketing/v3.1-launch/src/components/BadgeBar.tsx`
- Create: `marketing/v3.1-launch/src/lib/colors.ts`
- Create: `marketing/v3.1-launch/src/lib/timing.ts`
**Approach:**
- `TerminalWindow`: mac-style traffic-light header, dark gradient background, mono content area. Accepts children.
- `TypedLine`: takes a string and a `startFrame`, renders character-by-character at ~30 chars/sec. Reuses Remotion's `interpolate(useCurrentFrame() - startFrame, [0, lengthFrames], [0, text.length])` clamped.
- `BadgeBar`: renders the literal `🌐 last30days v3.1 · synced 2026-04-22` line in mono with the same gradient color treatment as the engine's compact emit.
- `colors.ts`: 5-7 brand colors (terminal-bg, terminal-fg, accent-cyan, accent-magenta, muted, success-green, warning-amber).
- `timing.ts`: exports the scene frame ranges as named constants. Single source of truth for any retiming.
**Test scenarios:**
- Test expectation: none — visual components verified in Remotion Studio.
**Verification:**
- Each component renders standalone in Studio when wrapped in a temporary preview composition.
- TypedLine animates character-by-character without flicker.
- [ ] **Unit 3: Scenes 1-3 (Hook, Old way, Fan-out reveal)**
**Goal:** Build the first half of the video (frames 0-420). The narrative arc up through the visual fan-out.
**Requirements:** R2
**Dependencies:** Unit 2
**Files:**
- Create: `marketing/v3.1-launch/src/scenes/Scene1Hook.tsx`
- Create: `marketing/v3.1-launch/src/scenes/Scene2OldWay.tsx`
- Create: `marketing/v3.1-launch/src/scenes/Scene3FanOut.tsx`
- Modify: `marketing/v3.1-launch/src/Root.tsx` (register sequences)
**Approach:**
- Scene 1: spring-in BadgeBar, large overlay caption, 3-second hold.
- Scene 2: TerminalWindow with TypedLine (`$ /last30days OpenAI`), then a single result-card mock fading in.
- Scene 3: typing animation appends `--competitors`, hard cut, three TerminalWindow components arranged in a row with staggered fade-in. Each pane shows a different entity header + scrolling progress lines.
**Test scenarios:**
- Test expectation: none — verified visually in Studio.
**Verification:**
- Scrub the 0-14s range in Studio; visuals match the script timing within 5 frames.
- The fan-out moment (frame 240) lands cleanly; no jank in the transition from 1 → 3 panes.
- [ ] **Unit 4: Scenes 4-6 (Comparison reveal, How it works, CTA)**
**Goal:** Build the back half of the video (frames 420-900). Resolution + payoff + call to action.
**Requirements:** R2
**Dependencies:** Unit 2
**Files:**
- Create: `marketing/v3.1-launch/src/scenes/Scene4Comparison.tsx`
- Create: `marketing/v3.1-launch/src/scenes/Scene5HowItWorks.tsx`
- Create: `marketing/v3.1-launch/src/scenes/Scene6CTA.tsx`
- Create: `marketing/v3.1-launch/src/components/ComparisonTable.tsx`
**Approach:**
- Scene 4: ComparisonTable component renders 3-column markdown-style table; rows fade in one by one (stagger 15-20 frames). Uses canned data — OpenAI / Anthropic / xAI with believable cell content drawn from real 3.0.13 outputs.
- Scene 5: three-line text card; lines fade in 45 frames apart.
- Scene 6: three centered text blocks; install line gets a 1Hz subtle opacity pulse for emphasis.
**Test scenarios:**
- Test expectation: none — verified visually.
**Verification:**
- Scrub 14-30s; table reveal feels paced (not too slow, not strobed); CTA holds long enough to read (~3-4s).
- ComparisonTable cells are legible at 1920×1080 (mono font ≥ 28px).
- [ ] **Unit 5: Final composition wiring + render**
**Goal:** Wire the six scenes into the master `LaunchVideo` composition, render to MP4, verify against X upload constraints.
**Requirements:** R1, R2, R5
**Dependencies:** Units 3, 4
**Files:**
- Modify: `marketing/v3.1-launch/src/LaunchVideo.tsx` (sequence all 6 scenes)
- Modify: `marketing/v3.1-launch/README.md` (add render command + verification checklist)
**Approach:**
- `LaunchVideo` is a single Composition that imports `Scene1Hook``Scene6CTA` and wraps each in `<Sequence from=… durationInFrames=…>` matching `lib/timing.ts`.
- Run `npx remotion render LaunchVideo out/last30days-v3.1-launch.mp4 --codec=h264 --crf=18`.
- Verify output: 30.0s ±0.1s, 1920×1080, file size <30MB, opens in QuickTime, plays without dropped frames.
**Test scenarios:**
- Test expectation: none — verification is the rendered MP4 itself.
**Verification:**
- `ffprobe out/last30days-v3.1-launch.mp4` reports 1920×1080, 30fps, ~30.0s, h264, faststart-friendly.
- Manual play-through end-to-end in QuickTime feels coherent and on-pace.
- File <30MB so X upload is instant.
- [ ] **Unit 6: Polish pass + ship**
**Goal:** Watch the full render, fix obvious jank, do a second render, and stage for X posting.
**Requirements:** R1, R2, R3
**Dependencies:** Unit 5
**Files:**
- Possibly modify: any scene file based on watch-through findings.
**Approach:**
- Watch the rendered MP4 at full size. Note: timing felt off, transitions too fast, captions overflow, color clash, anything visibly broken.
- Iterate: edit scene component → re-preview in Studio → re-render full MP4.
- Cap at 2 polish passes; ship the better of the two renders.
- Final MP4 sits at `marketing/v3.1-launch/out/last30days-v3.1-launch.mp4` ready for X upload.
**Test scenarios:**
- Test expectation: none — pure subjective polish.
**Verification:**
- User watches the final render and approves.
- No glaring visual bugs (overflowing text, frozen frames, color clashes).
## System-Wide Impact
- **Interaction graph:** None — this is a standalone marketing artifact. Doesn't touch the Python engine, doesn't change any user-facing behavior.
- **State lifecycle risks:** None.
- **API surface parity:** N/A.
- **Unchanged invariants:** The shipped 3.0.14 engine is untouched.
## Risks & Dependencies
| Risk | Mitigation |
|------|------------|
| Remotion install pulls 200MB+ of node_modules. | `marketing/v3.1-launch/node_modules/` in `.gitignore`; checked-in source stays small. |
| Render time blows past patience (>5 min for 30s @ 1080p30). | Bun-based render or `--concurrency` flag. Default Remotion is fast enough on M-series Macs. If slow, lower preview to 720p, render final at 1080p. |
| Captions overflow the 1920px width on certain fonts. | Use a known mono font with a measured per-character width; cap caption lines at 36 chars. |
| The "fan-out" visual in Scene 3 looks confusing instead of magical. | Polish pass (Unit 6) is the safety net; if still bad, fall back to a simpler "1 → 3 panes wipe" instead of typed split. |
| File size >30MB hits X upload friction. | Use `--crf=18` (high quality, reasonable size); fall back to `--crf=23` if over. 30s @ 1080p30 H.264 is normally 5-15MB. |
## Documentation / Operational Notes
- README at `marketing/v3.1-launch/README.md` documents preview / render commands.
- After render, the MP4 is uploaded directly to X. Tweet copy is the user's call (this plan stops at the rendered file).
## Sources & References
- Related code: `scripts/lib/render.py` (`_render_comparison_scaffold` is the visual model for Scene 4); `SKILL.md` Competitor mode section (the narrative source).
- Related PRs: #308, #311, #312 (the 3.0.11 → 3.0.14 release bundle this video markets as "v3.1").
- External docs: https://www.remotion.dev/docs/ (Remotion 4.x API).
- X video specs: https://help.x.com/en/using-x/twitter-videos.
+37
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@@ -0,0 +1,37 @@
# /last30days v3.1 Launch Video
30-second Remotion-rendered MP4 announcing **v3.1: Competitors mode** for posting on X.
## Quick start
```bash
cd marketing/v3.1-launch
npm install # one-time, ~200MB of node_modules
npm run preview # opens Remotion Studio at localhost:3000 to scrub frames
npm run render # writes out/last30days-v3.1-launch.mp4 (high quality, CRF 18)
npm run render:fast # writes a CRF 23 preview for fast iteration
```
## Specs
- 1920×1080, 30fps, 30 seconds (900 frames)
- H.264 / MP4
- Silent (autoplay-muted-friendly; captions baked in)
- Marketing label `v3.1` (engine code version stays 3.0.14)
## Scene timing (single source of truth: `src/lib/timing.ts`)
| Scene | Frames | Time | What |
|-------|--------|------|------|
| 1. Hook | 0-89 | 0.0-3.0s | Badge animates in + "What if one search ran 3 at once?" |
| 2. Old way | 90-239 | 3.0-8.0s | Single terminal: `/last30days OpenAI` |
| 3. Fan-out | 240-419 | 8.0-14.0s | `--competitors` types in → splits into 3 panes |
| 4. Comparison | 420-629 | 14.0-21.0s | 3 panes collapse into Head-to-Head table |
| 5. How | 630-779 | 21.0-26.0s | 3-line text card |
| 6. CTA | 780-899 | 26.0-30.0s | Install command + repo URL |
Edit `src/lib/timing.ts` to retime scenes; the `LaunchVideo` composition reads from there.
## Output
Rendered MP4 lives at `out/last30days-v3.1-launch.mp4` (gitignored). Upload directly to X.
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{
"name": "last30days-v3-1-launch-video",
"version": "0.1.0",
"private": true,
"description": "30s Remotion launch video for /last30days v3.1 (competitors mode).",
"scripts": {
"preview": "remotion studio src/index.ts",
"render": "remotion render src/index.ts LaunchVideo out/last30days-v3.1-launch.mp4 --codec=h264 --crf=18",
"render:fast": "remotion render src/index.ts LaunchVideo out/last30days-v3.1-launch-preview.mp4 --codec=h264 --crf=23"
},
"dependencies": {
"react": "19.0.0",
"react-dom": "19.0.0",
"remotion": "4.0.250",
"@remotion/cli": "4.0.250",
"@remotion/google-fonts": "4.0.250"
},
"devDependencies": {
"@types/react": "19.0.0",
"@types/node": "22.10.0",
"typescript": "5.6.3"
}
}
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import { Config } from "@remotion/cli/config";
Config.setVideoImageFormat("jpeg");
Config.setOverwriteOutput(true);
Config.setConcurrency(null);
Config.setCodec("h264");
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import React from "react";
import { AbsoluteFill, Sequence } from "remotion";
import { SCENES } from "./lib/timing";
import { Scene1Hook } from "./scenes/Scene1Hook";
import { Scene2OldWay } from "./scenes/Scene2OldWay";
import { Scene3FanOut } from "./scenes/Scene3FanOut";
import { Scene4Comparison } from "./scenes/Scene4Comparison";
import { Scene5HowItWorks } from "./scenes/Scene5HowItWorks";
import { Scene6CTA } from "./scenes/Scene6CTA";
import { COLORS } from "./lib/colors";
export const LaunchVideo: React.FC = () => {
return (
<AbsoluteFill style={{ background: COLORS.bgDeep }}>
<Sequence from={SCENES.hook.from} durationInFrames={SCENES.hook.durationInFrames}>
<Scene1Hook />
</Sequence>
<Sequence from={SCENES.oldWay.from} durationInFrames={SCENES.oldWay.durationInFrames}>
<Scene2OldWay />
</Sequence>
<Sequence from={SCENES.fanOut.from} durationInFrames={SCENES.fanOut.durationInFrames}>
<Scene3FanOut />
</Sequence>
<Sequence from={SCENES.comparison.from} durationInFrames={SCENES.comparison.durationInFrames}>
<Scene4Comparison />
</Sequence>
<Sequence from={SCENES.howItWorks.from} durationInFrames={SCENES.howItWorks.durationInFrames}>
<Scene5HowItWorks />
</Sequence>
<Sequence from={SCENES.cta.from} durationInFrames={SCENES.cta.durationInFrames}>
<Scene6CTA />
</Sequence>
</AbsoluteFill>
);
};
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import React from "react";
import { Composition } from "remotion";
import { LaunchVideo } from "./LaunchVideo";
import { FPS, TOTAL_FRAMES } from "./lib/timing";
export const RemotionRoot: React.FC = () => {
return (
<>
<Composition
id="LaunchVideo"
component={LaunchVideo}
durationInFrames={TOTAL_FRAMES}
fps={FPS}
width={1920}
height={1080}
/>
</>
);
};
@@ -0,0 +1,68 @@
import React from "react";
import { spring, useCurrentFrame, useVideoConfig } from "remotion";
import { COLORS, FONT_MONO } from "../lib/colors";
type Props = {
startFrame?: number;
size?: "small" | "large";
};
export const BadgeBar: React.FC<Props> = ({ startFrame = 0, size = "large" }) => {
const frame = useCurrentFrame();
const { fps } = useVideoConfig();
const elapsed = Math.max(0, frame - startFrame);
const scale = spring({
frame: elapsed,
fps,
config: { damping: 12, stiffness: 90 },
from: 0.85,
to: 1,
});
const opacity = spring({
frame: elapsed,
fps,
config: { damping: 20 },
from: 0,
to: 1,
});
const fontSize = size === "large" ? 56 : 28;
return (
<div
style={{
display: "flex",
alignItems: "center",
justifyContent: "center",
transform: `scale(${scale})`,
opacity,
fontFamily: FONT_MONO,
fontSize,
color: COLORS.fgPrimary,
letterSpacing: 0.5,
}}
>
<span style={{ fontSize: fontSize * 1.1, marginRight: 16 }}>🌐</span>
<span>last30days</span>
<span
style={{
marginLeft: 14,
color: COLORS.accentCyan,
fontWeight: 600,
}}
>
v3.1
</span>
<span
style={{
marginLeft: 16,
color: COLORS.fgDim,
fontSize: fontSize * 0.55,
}}
>
· synced 2026-04-22
</span>
</div>
);
};
@@ -0,0 +1,135 @@
import React from "react";
import { interpolate, useCurrentFrame } from "remotion";
import { COLORS, FONT_MONO } from "../lib/colors";
type Row = {
dimension: string;
cells: [string, string, string];
};
type Props = {
startFrame: number;
entities: [string, string, string];
rows: Row[];
rowStaggerFrames?: number;
};
export const ComparisonTable: React.FC<Props> = ({
startFrame,
entities,
rows,
rowStaggerFrames = 18,
}) => {
const frame = useCurrentFrame();
const headerOpacity = interpolate(
frame - startFrame,
[0, 12],
[0, 1],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" },
);
const colTemplate = "1.4fr 1fr 1fr 1fr";
const cellPad = "16px 22px";
return (
<div
style={{
width: "100%",
background: COLORS.bgPanel,
borderRadius: 16,
border: `1px solid ${COLORS.border}`,
overflow: "hidden",
fontFamily: FONT_MONO,
boxShadow: "0 24px 60px rgba(0,0,0,0.6)",
}}
>
<div
style={{
display: "grid",
gridTemplateColumns: colTemplate,
background: COLORS.bgPanelSoft,
borderBottom: `1px solid ${COLORS.border}`,
opacity: headerOpacity,
}}
>
<div
style={{
padding: cellPad,
color: COLORS.fgMuted,
fontSize: 22,
fontWeight: 500,
}}
>
Dimension
</div>
{entities.map((entity, idx) => (
<div
key={entity}
style={{
padding: cellPad,
color: idx === 0 ? COLORS.accentCyan : COLORS.fgPrimary,
fontSize: 26,
fontWeight: 600,
borderLeft: `1px solid ${COLORS.border}`,
}}
>
{entity}
</div>
))}
</div>
{rows.map((row, idx) => {
const rowStart = startFrame + 12 + idx * rowStaggerFrames;
const rowOpacity = interpolate(
frame - rowStart,
[0, 14],
[0, 1],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" },
);
const rowSlide = interpolate(
frame - rowStart,
[0, 14],
[12, 0],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" },
);
return (
<div
key={row.dimension}
style={{
display: "grid",
gridTemplateColumns: colTemplate,
borderBottom:
idx === rows.length - 1 ? "none" : `1px solid ${COLORS.border}`,
opacity: rowOpacity,
transform: `translateY(${rowSlide}px)`,
}}
>
<div
style={{
padding: cellPad,
color: COLORS.fgMuted,
fontSize: 22,
}}
>
{row.dimension}
</div>
{row.cells.map((cell, cellIdx) => (
<div
key={cellIdx}
style={{
padding: cellPad,
color: COLORS.fgPrimary,
fontSize: 22,
borderLeft: `1px solid ${COLORS.border}`,
lineHeight: 1.35,
}}
>
{cell}
</div>
))}
</div>
);
})}
</div>
);
};
@@ -0,0 +1,95 @@
import React from "react";
import { COLORS, FONT_MONO } from "../lib/colors";
type Props = {
title?: string;
width?: number | string;
height?: number | string;
children?: React.ReactNode;
glow?: boolean;
};
export const TerminalWindow: React.FC<Props> = ({
title = "/last30days",
width = "100%",
height = "100%",
children,
glow = false,
}) => {
return (
<div
style={{
width,
height,
background: COLORS.bgPanel,
borderRadius: 16,
border: `1px solid ${COLORS.border}`,
boxShadow: glow
? `0 0 60px ${COLORS.accentCyan}33, 0 24px 60px rgba(0,0,0,0.6)`
: "0 24px 60px rgba(0,0,0,0.6)",
overflow: "hidden",
display: "flex",
flexDirection: "column",
fontFamily: FONT_MONO,
}}
>
<div
style={{
height: 36,
background: COLORS.bgPanelSoft,
borderBottom: `1px solid ${COLORS.border}`,
display: "flex",
alignItems: "center",
padding: "0 16px",
gap: 8,
}}
>
<span
style={{
width: 12,
height: 12,
borderRadius: 12,
background: COLORS.trafficRed,
}}
/>
<span
style={{
width: 12,
height: 12,
borderRadius: 12,
background: COLORS.trafficYellow,
}}
/>
<span
style={{
width: 12,
height: 12,
borderRadius: 12,
background: COLORS.trafficGreen,
}}
/>
<span
style={{
marginLeft: 16,
color: COLORS.fgMuted,
fontSize: 14,
fontFamily: FONT_MONO,
letterSpacing: 0.5,
}}
>
{title}
</span>
</div>
<div
style={{
flex: 1,
padding: "20px 28px",
color: COLORS.fgPrimary,
overflow: "hidden",
}}
>
{children}
</div>
</div>
);
};
@@ -0,0 +1,71 @@
import React from "react";
import { interpolate, useCurrentFrame } from "remotion";
import { COLORS, FONT_MONO } from "../lib/colors";
type Props = {
text: string;
startFrame: number;
charsPerSec?: number;
fontSize?: number;
color?: string;
prefix?: string;
prefixColor?: string;
showCursor?: boolean;
fps?: number;
};
export const TypedLine: React.FC<Props> = ({
text,
startFrame,
charsPerSec = 28,
fontSize = 32,
color = COLORS.fgPrimary,
prefix,
prefixColor = COLORS.accentGreen,
showCursor = true,
fps = 30,
}) => {
const frame = useCurrentFrame();
const elapsed = Math.max(0, frame - startFrame);
const totalChars = text.length;
const lengthFrames = Math.ceil((totalChars / charsPerSec) * fps);
const visibleChars = Math.round(
interpolate(elapsed, [0, lengthFrames], [0, totalChars], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
}),
);
const visible = text.slice(0, visibleChars);
const done = visibleChars >= totalChars;
const cursorOn = showCursor && Math.floor(frame / 15) % 2 === 0;
return (
<div
style={{
fontFamily: FONT_MONO,
fontSize,
color,
whiteSpace: "pre",
lineHeight: 1.4,
}}
>
{prefix ? (
<span style={{ color: prefixColor, marginRight: 12 }}>{prefix}</span>
) : null}
<span>{visible}</span>
{(!done || cursorOn) && (
<span
style={{
display: "inline-block",
width: fontSize * 0.55,
height: fontSize * 0.95,
background: color,
verticalAlign: "text-bottom",
marginLeft: 2,
opacity: cursorOn ? 0.85 : 0,
}}
/>
)}
</div>
);
};
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import { registerRoot } from "remotion";
import { RemotionRoot } from "./Root";
registerRoot(RemotionRoot);
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export const COLORS = {
bgDeep: "#0a0e14",
bgPanel: "#11161d",
bgPanelSoft: "#161c25",
fgPrimary: "#e6e6e6",
fgMuted: "#8a93a3",
fgDim: "#5b6573",
border: "#2a3340",
accentCyan: "#36d6f7",
accentMagenta: "#ff55a3",
accentGreen: "#5fff9f",
accentAmber: "#ffc857",
trafficRed: "#ff5f57",
trafficYellow: "#febc2e",
trafficGreen: "#28c840",
} as const;
export const FONT_MONO = '"JetBrains Mono", "SF Mono", "Menlo", monospace';
export const FONT_SANS =
'"Inter", "SF Pro Display", -apple-system, BlinkMacSystemFont, sans-serif';
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// Single source of truth for scene frame ranges.
// 30fps × 30s = 900 frames total.
export const FPS = 30;
export const TOTAL_FRAMES = 900;
export const SCENES = {
hook: { from: 0, durationInFrames: 90 },
oldWay: { from: 90, durationInFrames: 150 },
fanOut: { from: 240, durationInFrames: 180 },
comparison: { from: 420, durationInFrames: 210 },
howItWorks: { from: 630, durationInFrames: 150 },
cta: { from: 780, durationInFrames: 120 },
} as const;
@@ -0,0 +1,61 @@
import React from "react";
import { AbsoluteFill, interpolate, spring, useCurrentFrame, useVideoConfig } from "remotion";
import { BadgeBar } from "../components/BadgeBar";
import { COLORS, FONT_SANS } from "../lib/colors";
export const Scene1Hook: React.FC = () => {
const frame = useCurrentFrame();
const { fps } = useVideoConfig();
const captionOpacity = interpolate(frame, [20, 35, 75, 90], [0, 1, 1, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const captionLift = spring({
frame: frame - 20,
fps,
config: { damping: 15, stiffness: 70 },
from: 16,
to: 0,
});
const badgeFadeOut = interpolate(frame, [70, 90], [1, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<AbsoluteFill
style={{
background: `radial-gradient(circle at 50% 40%, ${COLORS.bgPanelSoft} 0%, ${COLORS.bgDeep} 60%)`,
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
gap: 64,
}}
>
<div style={{ opacity: badgeFadeOut }}>
<BadgeBar />
</div>
<div
style={{
opacity: captionOpacity,
transform: `translateY(${captionLift}px)`,
fontFamily: FONT_SANS,
fontSize: 96,
fontWeight: 600,
color: COLORS.fgPrimary,
textAlign: "center",
letterSpacing: -1.5,
lineHeight: 1.1,
maxWidth: 1400,
}}
>
What if one search
<br />
ran <span style={{ color: COLORS.accentCyan }}>3 at once?</span>
</div>
</AbsoluteFill>
);
};
@@ -0,0 +1,100 @@
import React from "react";
import { AbsoluteFill, interpolate, useCurrentFrame } from "remotion";
import { TerminalWindow } from "../components/TerminalWindow";
import { TypedLine } from "../components/TypedLine";
import { COLORS, FONT_MONO, FONT_SANS } from "../lib/colors";
export const Scene2OldWay: React.FC = () => {
const frame = useCurrentFrame();
const enter = interpolate(frame, [0, 20], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const slide = interpolate(frame, [0, 20], [40, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
// Result card fades in after type completes (~70 frames)
const resultFade = interpolate(frame, [70, 95], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
// Caption appears late
const captionFade = interpolate(frame, [110, 130, 150], [0, 1, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<AbsoluteFill
style={{
background: COLORS.bgDeep,
padding: 80,
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
}}
>
<div
style={{
width: 1400,
height: 520,
opacity: enter,
transform: `translateY(${slide}px)`,
}}
>
<TerminalWindow title="bash">
<TypedLine
text="/last30days OpenAI"
startFrame={20}
prefix="$"
fontSize={42}
/>
<div
style={{
opacity: resultFade,
marginTop: 36,
padding: "20px 24px",
background: COLORS.bgPanelSoft,
borderRadius: 12,
border: `1px solid ${COLORS.border}`,
fontFamily: FONT_MONO,
fontSize: 26,
color: COLORS.fgPrimary,
lineHeight: 1.6,
}}
>
<div style={{ color: COLORS.accentGreen }}>
All agents reported back!
</div>
<div style={{ color: COLORS.fgMuted, marginTop: 6 }}>
🟠 Reddit: 14 threads
</div>
<div style={{ color: COLORS.fgMuted }}>
🔵 X: 22 posts
</div>
<div style={{ color: COLORS.fgMuted }}>
🟡 HN: 1 story
</div>
</div>
</TerminalWindow>
</div>
<div
style={{
opacity: captionFade,
marginTop: 60,
fontFamily: FONT_SANS,
fontSize: 38,
color: COLORS.fgMuted,
}}
>
The old way: <span style={{ color: COLORS.fgPrimary }}>one topic.</span>
</div>
</AbsoluteFill>
);
};
@@ -0,0 +1,221 @@
import React from "react";
import { AbsoluteFill, interpolate, spring, useCurrentFrame, useVideoConfig } from "remotion";
import { TerminalWindow } from "../components/TerminalWindow";
import { TypedLine } from "../components/TypedLine";
import { COLORS, FONT_MONO, FONT_SANS } from "../lib/colors";
const PROGRESS_LINES = [
{ source: "Reddit", color: "#ff6a3d" },
{ source: "X", color: "#36d6f7" },
{ source: "YouTube", color: "#ff5757" },
{ source: "TikTok", color: "#5fff9f" },
{ source: "Instagram", color: "#ff55a3" },
];
const ENTITIES: { label: string; tag: string; accent: string }[] = [
{ label: "OpenAI", tag: "$ /last30days OpenAI", accent: COLORS.accentCyan },
{ label: "Anthropic", tag: "$ /last30days Anthropic", accent: COLORS.accentMagenta },
{ label: "xAI", tag: "$ /last30days xAI", accent: COLORS.accentAmber },
];
const FanPane: React.FC<{
label: string;
tag: string;
accent: string;
panelStart: number;
}> = ({ label, tag, accent, panelStart }) => {
const frame = useCurrentFrame();
const { fps } = useVideoConfig();
const localFrame = Math.max(0, frame - panelStart);
const enter = spring({
frame: localFrame,
fps,
config: { damping: 18, stiffness: 80 },
from: 0,
to: 1,
});
const slide = interpolate(localFrame, [0, 20], [40, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<div
style={{
flex: 1,
opacity: enter,
transform: `translateY(${slide}px)`,
height: 480,
}}
>
<TerminalWindow title={label} glow>
<div
style={{
color: accent,
fontSize: 18,
fontFamily: FONT_MONO,
marginBottom: 14,
}}
>
{tag}
</div>
<div
style={{
fontSize: 22,
color: COLORS.accentGreen,
fontFamily: FONT_MONO,
marginBottom: 12,
}}
>
[Competitors] running...
</div>
{PROGRESS_LINES.map((line, idx) => {
const lineStart = panelStart + 16 + idx * 6;
const lineFade = interpolate(
frame - lineStart,
[0, 8],
[0, 1],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" },
);
// pulse the in-progress dot
const dotOn = Math.floor((frame - lineStart) / 6) % 2 === 0;
return (
<div
key={line.source}
style={{
opacity: lineFade,
fontFamily: FONT_MONO,
fontSize: 20,
color: COLORS.fgMuted,
display: "flex",
alignItems: "center",
marginBottom: 6,
}}
>
<span
style={{
display: "inline-block",
width: 10,
height: 10,
borderRadius: 10,
background: dotOn ? line.color : COLORS.bgPanelSoft,
marginRight: 12,
boxShadow: dotOn ? `0 0 10px ${line.color}` : "none",
}}
/>
<span style={{ color: line.color, marginRight: 8 }}>
</span>
<span>{line.source}</span>
<span style={{ marginLeft: "auto", color: COLORS.fgDim }}>
{dotOn ? "..." : "·"}
</span>
</div>
);
})}
</TerminalWindow>
</div>
);
};
export const Scene3FanOut: React.FC = () => {
const frame = useCurrentFrame();
// Phase 1 (0-30 frames): single terminal types --competitors flag
// Phase 2 (30+): split into 3 panes
const splitProgress = interpolate(frame, [30, 50], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const singleOpacity = interpolate(frame, [0, 8, 30, 45], [0, 1, 1, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
// Caption fades in shortly after panes settle so it has time to read.
const captionFade = interpolate(frame, [60, 80], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<AbsoluteFill
style={{
background: COLORS.bgDeep,
padding: 60,
display: "flex",
flexDirection: "column",
}}
>
<div
style={{
opacity: captionFade,
textAlign: "center",
fontFamily: FONT_SANS,
fontSize: 42,
color: COLORS.fgPrimary,
marginBottom: 32,
}}
>
Now it discovers competitors
<br />
<span style={{ color: COLORS.accentCyan }}>and runs all 3.</span>
</div>
<div
style={{
flex: 1,
position: "relative",
}}
>
{/* Single terminal during phase 1, fades out as panes appear */}
<div
style={{
position: "absolute",
inset: 0,
display: "flex",
alignItems: "center",
justifyContent: "center",
opacity: singleOpacity,
}}
>
<div style={{ width: 1200, height: 380 }}>
<TerminalWindow title="bash">
<TypedLine
text="/last30days OpenAI --competitors"
startFrame={0}
prefix="$"
fontSize={42}
/>
</TerminalWindow>
</div>
</div>
{/* Three panes fade in starting frame ~30 */}
<div
style={{
position: "absolute",
inset: 0,
display: "flex",
alignItems: "center",
justifyContent: "center",
gap: 24,
opacity: splitProgress,
}}
>
{ENTITIES.map((entity, idx) => (
<FanPane
key={entity.label}
label={entity.label}
tag={entity.tag}
accent={entity.accent}
panelStart={45 + idx * 8}
/>
))}
</div>
</div>
</AbsoluteFill>
);
};
@@ -0,0 +1,105 @@
import React from "react";
import { AbsoluteFill, interpolate, useCurrentFrame } from "remotion";
import { ComparisonTable } from "../components/ComparisonTable";
import { COLORS, FONT_SANS } from "../lib/colors";
const ROWS = [
{
dimension: "What it is",
cells: [
"GPT-5 leader, Plus + API",
"Claude 4, safety-first",
"Grok, X-native, fast",
] as [string, string, string],
},
{
dimension: "30-day momentum",
cells: [
"GPT-5 launch wave",
"Claude 4.7 1M context",
"Grok 5 reveal",
] as [string, string, string],
},
{
dimension: "Community vibe",
cells: [
"Defensive but deep",
"Quiet, devs-only",
"Loud, meme-rich",
] as [string, string, string],
},
{
dimension: "Best for",
cells: [
"Mainstream + tools",
"Long-context coding",
"Live X intel",
] as [string, string, string],
},
];
export const Scene4Comparison: React.FC = () => {
const frame = useCurrentFrame();
const captionFade = interpolate(frame, [0, 12, 180, 210], [0, 1, 1, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const captionLift = interpolate(frame, [0, 14], [16, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const tableFade = interpolate(frame, [16, 32], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<AbsoluteFill
style={{
background: COLORS.bgDeep,
padding: "48px 80px",
display: "flex",
flexDirection: "column",
alignItems: "center",
}}
>
<div
style={{
opacity: captionFade,
transform: `translateY(${captionLift}px)`,
fontFamily: FONT_SANS,
fontSize: 38,
color: COLORS.fgMuted,
textAlign: "center",
marginBottom: 36,
}}
>
<span style={{ color: COLORS.accentCyan, fontWeight: 600 }}>
3 full passes.
</span>
<span style={{ marginLeft: 18, color: COLORS.accentMagenta, fontWeight: 600 }}>
3 save files.
</span>
<span style={{ marginLeft: 18, color: COLORS.fgPrimary, fontWeight: 600 }}>
1 comparison.
</span>
</div>
<div
style={{
width: "100%",
maxWidth: 1640,
opacity: tableFade,
}}
>
<ComparisonTable
startFrame={20}
entities={["OpenAI", "Anthropic", "xAI"]}
rows={ROWS}
rowStaggerFrames={22}
/>
</div>
</AbsoluteFill>
);
};
@@ -0,0 +1,54 @@
import React from "react";
import { AbsoluteFill, interpolate, useCurrentFrame } from "remotion";
import { COLORS, FONT_SANS } from "../lib/colors";
const LINES = [
{ text: "You pick the topic.", color: COLORS.fgPrimary },
{ text: "The agent picks the peers.", color: COLORS.accentCyan },
{ text: "The engine fans out.", color: COLORS.accentMagenta },
];
export const Scene5HowItWorks: React.FC = () => {
const frame = useCurrentFrame();
return (
<AbsoluteFill
style={{
background: `radial-gradient(circle at 50% 60%, ${COLORS.bgPanelSoft} 0%, ${COLORS.bgDeep} 70%)`,
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
gap: 48,
}}
>
{LINES.map((line, idx) => {
const start = 10 + idx * 28;
const fade = interpolate(frame, [start, start + 14], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const slide = interpolate(frame, [start, start + 18], [24, 0], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
return (
<div
key={line.text}
style={{
opacity: fade,
transform: `translateY(${slide}px)`,
fontFamily: FONT_SANS,
fontSize: 78,
fontWeight: 600,
color: line.color,
letterSpacing: -1,
}}
>
{line.text}
</div>
);
})}
</AbsoluteFill>
);
};
@@ -0,0 +1,73 @@
import React from "react";
import { AbsoluteFill, interpolate, spring, useCurrentFrame, useVideoConfig } from "remotion";
import { BadgeBar } from "../components/BadgeBar";
import { COLORS, FONT_MONO, FONT_SANS } from "../lib/colors";
export const Scene6CTA: React.FC = () => {
const frame = useCurrentFrame();
const { fps } = useVideoConfig();
const installFade = interpolate(frame, [20, 40], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
// Stronger 1Hz pulse on the install line for end-of-video emphasis
const pulse = 0.8 + 0.2 * Math.sin((frame / fps) * 2 * Math.PI);
const glowPulse = 0.4 + 0.4 * Math.sin((frame / fps) * 2 * Math.PI);
const repoFade = interpolate(frame, [50, 70], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const enterScale = spring({
frame,
fps,
config: { damping: 18, stiffness: 90 },
from: 0.95,
to: 1,
});
return (
<AbsoluteFill
style={{
background: `radial-gradient(circle at 50% 50%, ${COLORS.bgPanelSoft} 0%, ${COLORS.bgDeep} 70%)`,
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
gap: 56,
transform: `scale(${enterScale})`,
}}
>
<BadgeBar />
<div
style={{
opacity: installFade * pulse,
padding: "18px 36px",
background: COLORS.bgPanel,
border: `1px solid ${COLORS.accentCyan}`,
borderRadius: 14,
boxShadow: `0 0 ${40 + glowPulse * 60}px ${COLORS.accentCyan}${Math.round(40 + glowPulse * 80).toString(16)}`,
fontFamily: FONT_MONO,
fontSize: 44,
color: COLORS.fgPrimary,
}}
>
<span style={{ color: COLORS.accentGreen, marginRight: 18 }}>$</span>
/last30days <span style={{ color: COLORS.fgMuted }}>{"{topic}"}</span>{" "}
<span style={{ color: COLORS.accentCyan }}>--competitors</span>
</div>
<div
style={{
opacity: repoFade,
fontFamily: FONT_SANS,
fontSize: 28,
color: COLORS.fgMuted,
}}
>
github.com/mvanhorn/last30days-skill
</div>
</AbsoluteFill>
);
};
+19
View File
@@ -0,0 +1,19 @@
{
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "bundler",
"jsx": "react-jsx",
"strict": true,
"skipLibCheck": true,
"esModuleInterop": true,
"allowSyntheticDefaultImports": true,
"forceConsistentCasingInFileNames": true,
"resolveJsonModule": true,
"isolatedModules": true,
"noEmit": true,
"lib": ["ES2022", "DOM", "DOM.Iterable"],
"types": ["node"]
},
"include": ["src/**/*"]
}
-12
View File
@@ -1,12 +0,0 @@
# Mirror of skills/last30days/scripts/, populated by scripts/sync-engine.sh.
# Source of truth lives in the Python skill; never commit the mirror.
# Lives inside internal/engine/ because //go:embed cannot reach outside
# its own package directory.
internal/engine/vendored/*
!internal/engine/vendored/.gitkeep
# Local build output: cross-compiled binaries and packaged .mcpb files.
build/
# Anchor to the mcp/ root so the cmd/last30days-pp-mcp/ package directory
# is not also excluded (subdirs with the same name would otherwise match).
/last30days-pp-mcp
-36
View File
@@ -1,36 +0,0 @@
# last30days-pp-mcp
Go MCP server that wraps the last30days Python engine for Claude Desktop. Packaged as a `.mcpb` bundle (drag-drop install into Claude Desktop).
The MCP server exposes a single `research` tool that mirrors the `/last30days <topic>` slash command available in Claude Code. At runtime the binary extracts the vendored Python engine into a per-user cache and shells out to `python3` to produce the synthesis input Claude renders.
## Architecture
- `cmd/last30days-pp-mcp/` - server entry point
- `internal/engine/` - `embed.FS` of the Python engine + cache extractor + subprocess wrapper
- `internal/tools/` - MCP tool handlers (currently `research`)
- `internal/engine/vendored/` - mirror of `skills/last30days/scripts/`, generated by `scripts/sync-engine.sh` (gitignored). Lives inside the engine package because `//go:embed` cannot reach files outside its own package directory.
- `manifest.json` - MCPB v0.3 manifest consumed by Claude Desktop and `printing-press bundle`
## Local build
```bash
# Mirror the Python engine into vendored/.
bash scripts/sync-engine.sh
# Build for the current host.
go build -ldflags "-X main.Version=dev" -o build/last30days-pp-mcp ./cmd/last30days-pp-mcp
# Package as a .mcpb (requires the printing-press binary on PATH).
printing-press bundle . --skip-build --binary build/last30days-pp-mcp
```
The output `.mcpb` lands at `build/last30days-pp-mcp-<os>-<arch>.mcpb`. Drag it into Claude Desktop's Extensions panel to install.
## Runtime requirements
End users need Python 3.12+ on PATH. The bundle ships the engine source but relies on the host interpreter.
## Versioning
The MCPB `manifest.json` version is hand-bumped in the same PR that ships engine changes worth releasing. Release CI stamps the Go binary's `main.Version` from the tag.
-39
View File
@@ -1,39 +0,0 @@
// Package main is the entry point for the last30days MCP server bundled
// as a .mcpb for Claude Desktop. The server registers a single research
// tool (see internal/tools) and serves it over stdio. See mcp/README.md
// for build and packaging instructions.
package main
import (
"fmt"
"os"
"github.com/mark3labs/mcp-go/server"
"github.com/mvanhorn/last30days-skill/mcp/internal/tools"
)
// Version is stamped at build time via -ldflags "-X main.Version=<tag>".
// It namespaces the per-user cache directory in internal/engine so multiple
// installed versions can coexist without clobbering each other.
var Version = "dev"
const (
serverName = "last30days"
serverVersion = "1"
)
func main() {
s := server.NewMCPServer(
serverName,
serverVersion,
server.WithToolCapabilities(false),
)
tools.Register(s, tools.Config{Version: Version})
if err := server.ServeStdio(s); err != nil {
fmt.Fprintf(os.Stderr, "last30days-pp-mcp: %v\n", err)
os.Exit(1)
}
}
-14
View File
@@ -1,14 +0,0 @@
module github.com/mvanhorn/last30days-skill/mcp
go 1.25.5
require github.com/mark3labs/mcp-go v0.54.0
require (
github.com/google/jsonschema-go v0.4.2 // indirect
github.com/google/uuid v1.6.0 // indirect
github.com/santhosh-tekuri/jsonschema/v6 v6.0.2 // indirect
github.com/spf13/cast v1.7.1 // indirect
github.com/yosida95/uritemplate/v3 v3.0.2 // indirect
golang.org/x/text v0.14.0 // indirect
)
-34
View File
@@ -1,34 +0,0 @@
github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
github.com/dlclark/regexp2 v1.11.0 h1:G/nrcoOa7ZXlpoa/91N3X7mM3r8eIlMBBJZvsz/mxKI=
github.com/dlclark/regexp2 v1.11.0/go.mod h1:DHkYz0B9wPfa6wondMfaivmHpzrQ3v9q8cnmRbL6yW8=
github.com/frankban/quicktest v1.14.6 h1:7Xjx+VpznH+oBnejlPUj8oUpdxnVs4f8XU8WnHkI4W8=
github.com/frankban/quicktest v1.14.6/go.mod h1:4ptaffx2x8+WTWXmUCuVU6aPUX1/Mz7zb5vbUoiM6w0=
github.com/google/go-cmp v0.7.0 h1:wk8382ETsv4JYUZwIsn6YpYiWiBsYLSJiTsyBybVuN8=
github.com/google/go-cmp v0.7.0/go.mod h1:pXiqmnSA92OHEEa9HXL2W4E7lf9JzCmGVUdgjX3N/iU=
github.com/google/jsonschema-go v0.4.2 h1:tmrUohrwoLZZS/P3x7ex0WAVknEkBZM46iALbcqoRA8=
github.com/google/jsonschema-go v0.4.2/go.mod h1:r5quNTdLOYEz95Ru18zA0ydNbBuYoo9tgaYcxEYhJVE=
github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0=
github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
github.com/kr/pretty v0.3.1 h1:flRD4NNwYAUpkphVc1HcthR4KEIFJ65n8Mw5qdRn3LE=
github.com/kr/pretty v0.3.1/go.mod h1:hoEshYVHaxMs3cyo3Yncou5ZscifuDolrwPKZanG3xk=
github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
github.com/mark3labs/mcp-go v0.54.0 h1:PZhQvd+5xrT43cUoiaKn/hDcvLUhcLc1twSEKYPTcTA=
github.com/mark3labs/mcp-go v0.54.0/go.mod h1:+8WclSK1ZUweCP3hvktSji8n8ABG/95QaEkeVE/Uwas=
github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
github.com/rogpeppe/go-internal v1.14.1 h1:UQB4HGPB6osV0SQTLymcB4TgvyWu6ZyliaW0tI/otEQ=
github.com/rogpeppe/go-internal v1.14.1/go.mod h1:MaRKkUm5W0goXpeCfT7UZI6fk/L7L7so1lCWt35ZSgc=
github.com/santhosh-tekuri/jsonschema/v6 v6.0.2 h1:KRzFb2m7YtdldCEkzs6KqmJw4nqEVZGK7IN2kJkjTuQ=
github.com/santhosh-tekuri/jsonschema/v6 v6.0.2/go.mod h1:JXeL+ps8p7/KNMjDQk3TCwPpBy0wYklyWTfbkIzdIFU=
github.com/spf13/cast v1.7.1 h1:cuNEagBQEHWN1FnbGEjCXL2szYEXqfJPbP2HNUaca9Y=
github.com/spf13/cast v1.7.1/go.mod h1:ancEpBxwJDODSW/UG4rDrAqiKolqNNh2DX3mk86cAdo=
github.com/stretchr/testify v1.11.1 h1:7s2iGBzp5EwR7/aIZr8ao5+dra3wiQyKjjFuvgVKu7U=
github.com/stretchr/testify v1.11.1/go.mod h1:wZwfW3scLgRK+23gO65QZefKpKQRnfz6sD981Nm4B6U=
github.com/yosida95/uritemplate/v3 v3.0.2 h1:Ed3Oyj9yrmi9087+NczuL5BwkIc4wvTb5zIM+UJPGz4=
github.com/yosida95/uritemplate/v3 v3.0.2/go.mod h1:ILOh0sOhIJR3+L/8afwt/kE++YT040gmv5BQTMR2HP4=
golang.org/x/text v0.14.0 h1:ScX5w1eTa3QqT8oi6+ziP7dTV1S2+ALU0bI+0zXKWiQ=
golang.org/x/text v0.14.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
-26
View File
@@ -1,26 +0,0 @@
// Package engine wraps the vendored Python last30days engine. The engine
// is embedded at build time via //go:embed and extracted into a per-user
// cache directory on first use, then invoked through python3 in a
// subprocess. Consumers should call EnsureUserCache to materialize the
// engine and Run to execute it.
package engine
import (
"embed"
"io/fs"
)
// EngineSourceDir is the embed root inside the binary. scripts/sync-engine.sh
// mirrors skills/last30days/scripts/ into this directory before each build.
// The all: prefix preserves files starting with "." or "_" so the .gitkeep
// anchor file survives - without it the embed would error before sync runs.
//
//go:embed all:vendored
var vendored embed.FS
// EngineFS returns the embedded engine as a filesystem rooted at the
// vendored/ directory contents (so callers see "last30days.py" at the
// root, not "vendored/last30days.py").
func EngineFS() (fs.FS, error) {
return fs.Sub(vendored, "vendored")
}
-168
View File
@@ -1,168 +0,0 @@
package engine
import (
"errors"
"fmt"
"io"
"io/fs"
"os"
"path/filepath"
"sync"
)
// SentinelFilename names the file Ensure writes inside the cache directory
// after a successful extraction. Its contents are compared to the requested
// version; a match short-circuits re-extraction on subsequent calls.
const SentinelFilename = ".version"
// cacheSubdir namespaces our cache under the OS user cache directory so
// multiple printing-press-style bundles can coexist.
const cacheSubdir = "last30days-pp-mcp"
// CacheEnvOverride lets users redirect the cache directory when the default
// OS cache location is read-only (locked-down corp images, ephemeral CI
// containers). Pointed at by extract errors via the documented escape hatch.
const CacheEnvOverride = "LAST30DAYS_CACHE_DIR"
// Ensure extracts src into baseDir/last30days-pp-mcp/<version> and returns
// the cache path. If the sentinel file already records the same version the
// directory is reused without rewriting. version must be non-empty so the
// cache layout always namespaces by version.
//
// Extraction writes to a sibling .tmp directory and renames it on success
// so a partial extraction can never be mistaken for a complete one. Concurrent
// callers within the same process serialize behind a per-cache-dir sync.Once
// so the rename happens exactly once.
func Ensure(src fs.FS, baseDir, version string) (string, error) {
if version == "" {
return "", errors.New("engine: version is required")
}
cacheDir := filepath.Join(baseDir, cacheSubdir, version)
once := getOnce(cacheDir)
var extractErr error
once.Do(func() {
extractErr = ensureLocked(src, cacheDir, version)
})
if extractErr != nil {
// Reset the sync.Once so a follow-up call can retry rather than
// permanently caching the error. Retry is the right default when
// the failure is transient (e.g., disk full, parent dir restored).
resetOnce(cacheDir)
return "", extractErr
}
return cacheDir, nil
}
// EnsureUserCache wraps Ensure with the OS user cache dir (or the
// LAST30DAYS_CACHE_DIR override) as base. Production callers use this; tests
// use Ensure with an explicit temp dir.
func EnsureUserCache(src fs.FS, version string) (string, error) {
if override := os.Getenv(CacheEnvOverride); override != "" {
return Ensure(src, override, version)
}
base, err := os.UserCacheDir()
if err != nil {
return "", fmt.Errorf("engine: resolve user cache dir (set %s to override): %w", CacheEnvOverride, err)
}
return Ensure(src, base, version)
}
func ensureLocked(src fs.FS, cacheDir, version string) error {
if sentinelMatches(cacheDir, version) {
return nil
}
tmpDir := cacheDir + ".tmp"
if err := os.RemoveAll(tmpDir); err != nil {
return fmt.Errorf("engine: clean tmp cache: %w", err)
}
if err := os.MkdirAll(tmpDir, 0o755); err != nil {
return fmt.Errorf("engine: create tmp cache (%s, set %s to override): %w", tmpDir, CacheEnvOverride, err)
}
if err := extractAll(src, tmpDir); err != nil {
_ = os.RemoveAll(tmpDir)
return err
}
sentinel := filepath.Join(tmpDir, SentinelFilename)
if err := os.WriteFile(sentinel, []byte(version), 0o644); err != nil {
_ = os.RemoveAll(tmpDir)
return fmt.Errorf("engine: write sentinel: %w", err)
}
if err := os.RemoveAll(cacheDir); err != nil {
_ = os.RemoveAll(tmpDir)
return fmt.Errorf("engine: clean old cache: %w", err)
}
if err := os.Rename(tmpDir, cacheDir); err != nil {
_ = os.RemoveAll(tmpDir)
return fmt.Errorf("engine: promote tmp cache: %w", err)
}
return nil
}
func sentinelMatches(cacheDir, version string) bool {
data, err := os.ReadFile(filepath.Join(cacheDir, SentinelFilename))
if err != nil {
return false
}
return string(data) == version
}
func extractAll(src fs.FS, dst string) error {
return fs.WalkDir(src, ".", func(path string, d fs.DirEntry, err error) error {
if err != nil {
return err
}
if path == "." {
return nil
}
target := filepath.Join(dst, path)
if d.IsDir() {
return os.MkdirAll(target, 0o755)
}
return copyEmbeddedFile(src, path, target)
})
}
func copyEmbeddedFile(src fs.FS, srcPath, dst string) error {
in, err := src.Open(srcPath)
if err != nil {
return fmt.Errorf("engine: open %s: %w", srcPath, err)
}
defer func() { _ = in.Close() }()
if err := os.MkdirAll(filepath.Dir(dst), 0o755); err != nil {
return fmt.Errorf("engine: ensure parent of %s: %w", dst, err)
}
out, err := os.OpenFile(dst, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0o644)
if err != nil {
return fmt.Errorf("engine: create %s: %w", dst, err)
}
defer func() { _ = out.Close() }()
if _, err := io.Copy(out, in); err != nil {
return fmt.Errorf("engine: write %s: %w", dst, err)
}
return nil
}
// onceRegistry serializes first-call extraction per cache directory so the
// rename in ensureLocked happens exactly once across goroutines.
var (
onceMu sync.Mutex
onceRegistry = map[string]*sync.Once{}
)
func getOnce(cacheDir string) *sync.Once {
onceMu.Lock()
defer onceMu.Unlock()
if o, ok := onceRegistry[cacheDir]; ok {
return o
}
o := &sync.Once{}
onceRegistry[cacheDir] = o
return o
}
func resetOnce(cacheDir string) {
onceMu.Lock()
defer onceMu.Unlock()
delete(onceRegistry, cacheDir)
}
-167
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@@ -1,167 +0,0 @@
package engine
import (
"os"
"path/filepath"
"sync"
"testing"
"testing/fstest"
)
func newTestFS() fstest.MapFS {
return fstest.MapFS{
"last30days.py": &fstest.MapFile{Data: []byte("# last30days entry\n"), Mode: 0o644},
"lib/__init__.py": &fstest.MapFile{Data: []byte(""), Mode: 0o644},
"lib/env.py": &fstest.MapFile{Data: []byte("# env helpers\n"), Mode: 0o644},
}
}
func TestEnsureExtractsEngine(t *testing.T) {
src := newTestFS()
base := t.TempDir()
cacheDir, err := Ensure(src, base, "v1")
if err != nil {
t.Fatalf("Ensure: %v", err)
}
if cacheDir != filepath.Join(base, cacheSubdir, "v1") {
t.Fatalf("cacheDir = %q, want %q", cacheDir, filepath.Join(base, cacheSubdir, "v1"))
}
mustReadFile(t, filepath.Join(cacheDir, "last30days.py"), "# last30days entry\n")
mustReadFile(t, filepath.Join(cacheDir, "lib/env.py"), "# env helpers\n")
mustReadFile(t, filepath.Join(cacheDir, SentinelFilename), "v1")
}
func TestEnsureSkipsWhenSentinelMatches(t *testing.T) {
src := newTestFS()
base := t.TempDir()
cacheDir, err := Ensure(src, base, "v1")
if err != nil {
t.Fatalf("first Ensure: %v", err)
}
target := filepath.Join(cacheDir, "last30days.py")
info1, err := os.Stat(target)
if err != nil {
t.Fatalf("stat: %v", err)
}
// Reset the sync.Once so a second call would re-extract if not for the
// sentinel short-circuit. Without the reset, sync.Once would skip the
// extraction regardless of sentinel state.
resetOnce(cacheDir)
if _, err := Ensure(src, base, "v1"); err != nil {
t.Fatalf("second Ensure: %v", err)
}
info2, err := os.Stat(target)
if err != nil {
t.Fatalf("stat second: %v", err)
}
if !info2.ModTime().Equal(info1.ModTime()) {
t.Fatalf("expected file untouched on sentinel match; got mtime %v -> %v", info1.ModTime(), info2.ModTime())
}
}
func TestEnsureReExtractsOnVersionChange(t *testing.T) {
v1 := fstest.MapFS{
"last30days.py": &fstest.MapFile{Data: []byte("v1\n"), Mode: 0o644},
}
v2 := fstest.MapFS{
"last30days.py": &fstest.MapFile{Data: []byte("v2\n"), Mode: 0o644},
}
base := t.TempDir()
cache1, err := Ensure(v1, base, "v1")
if err != nil {
t.Fatalf("Ensure v1: %v", err)
}
cache2, err := Ensure(v2, base, "v2")
if err != nil {
t.Fatalf("Ensure v2: %v", err)
}
if cache1 == cache2 {
t.Fatalf("expected distinct cache dirs per version, got %q == %q", cache1, cache2)
}
mustReadFile(t, filepath.Join(cache1, "last30days.py"), "v1\n")
mustReadFile(t, filepath.Join(cache2, "last30days.py"), "v2\n")
}
func TestEnsureConcurrentFirstCall(t *testing.T) {
src := newTestFS()
base := t.TempDir()
const goroutines = 10
var wg sync.WaitGroup
wg.Add(goroutines)
results := make([]string, goroutines)
errs := make([]error, goroutines)
for i := 0; i < goroutines; i++ {
i := i
go func() {
defer wg.Done()
results[i], errs[i] = Ensure(src, base, "v1")
}()
}
wg.Wait()
for i, err := range errs {
if err != nil {
t.Fatalf("goroutine %d: %v", i, err)
}
}
for i := 1; i < goroutines; i++ {
if results[i] != results[0] {
t.Fatalf("goroutine 0 saw %q, goroutine %d saw %q", results[0], i, results[i])
}
}
mustReadFile(t, filepath.Join(results[0], "last30days.py"), "# last30days entry\n")
}
func TestEnsureRejectsEmptyVersion(t *testing.T) {
if _, err := Ensure(newTestFS(), t.TempDir(), ""); err == nil {
t.Fatal("expected error for empty version")
}
}
func TestEnsureReturnsErrorWhenCacheUnwritable(t *testing.T) {
// Place the cache root at a path that cannot exist (a regular file).
// MkdirAll will refuse and Ensure must surface a wrapped error.
base := t.TempDir()
blocker := filepath.Join(base, "blocker")
if err := os.WriteFile(blocker, []byte("not a dir"), 0o644); err != nil {
t.Fatalf("setup: %v", err)
}
_, err := Ensure(newTestFS(), blocker, "v1")
if err == nil {
t.Fatal("expected error when cache parent is not a directory")
}
}
func TestEnsureUserCacheHonorsOverride(t *testing.T) {
override := t.TempDir()
t.Setenv(CacheEnvOverride, override)
src := newTestFS()
cacheDir, err := EnsureUserCache(src, "v1")
if err != nil {
t.Fatalf("EnsureUserCache: %v", err)
}
want := filepath.Join(override, cacheSubdir, "v1")
if cacheDir != want {
t.Fatalf("cacheDir = %q, want %q", cacheDir, want)
}
mustReadFile(t, filepath.Join(cacheDir, "last30days.py"), "# last30days entry\n")
}
func mustReadFile(t *testing.T, path, want string) {
t.Helper()
data, err := os.ReadFile(path)
if err != nil {
t.Fatalf("read %s: %v", path, err)
}
if string(data) != want {
t.Fatalf("%s: got %q, want %q", path, string(data), want)
}
}
-163
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@@ -1,163 +0,0 @@
package engine
import (
"bytes"
"context"
"errors"
"fmt"
"os"
"os/exec"
"path/filepath"
"runtime"
"strings"
"time"
)
// DefaultPythonBinary is the interpreter we look up unless RunOptions
// overrides it. Windows installs may expose only "python"; we surface a
// clear error in that case rather than silently picking the wrong binary.
const DefaultPythonBinary = "python3"
// MinPythonVersion mirrors the engine's MIN_PYTHON constant in
// last30days.py. Surfaced in errors so users know what they're missing.
const MinPythonVersion = "3.12"
// PythonInstallURL is included in the missing-interpreter error so users
// have a direct route from the failure to a fix.
const PythonInstallURL = "https://www.python.org/downloads/"
// DefaultTimeout caps a single research subprocess. The engine's deep mode
// can run several minutes; five minutes is a safe upper bound that still
// fails fast when something hangs.
const DefaultTimeout = 5 * time.Minute
// TimeoutEnvOverride lets operators override DefaultTimeout per install
// (seconds, integer). Honored by Run when RunOptions.Timeout is zero.
const TimeoutEnvOverride = "LAST30DAYS_MCP_TIMEOUT"
// RunOptions configures one invocation of the embedded Python engine.
// PythonPath is exposed so tests can substitute a stub interpreter without
// manipulating the process PATH.
type RunOptions struct {
PythonPath string // resolved python3 binary; empty means look up DefaultPythonBinary on PATH
CacheDir string // engine.Ensure result; lib/ here is added to PYTHONPATH
Args []string // arguments after last30days.py (topic, --emit=..., etc.)
ExtraEnv []string // appended to os.Environ() for the child process
Timeout time.Duration // zero means DefaultTimeout or TimeoutEnvOverride
}
// RunResult captures the engine's full output. Stdout is what we surface to
// the agent; Stderr is included in error messages so users can diagnose
// engine failures without leaving Claude Desktop.
type RunResult struct {
Stdout []byte
Stderr []byte
ExitCode int
TimedOut bool
}
// Run shells out to python3 with last30days.py inside cacheDir. The child
// receives the parent environment (so MCPB user_config env-injection
// reaches the engine) plus ExtraEnv and a PYTHONPATH that points at the
// cache so the engine's `from lib import ...` statements resolve.
//
// A missing interpreter, a non-zero exit, and a timeout each surface as
// distinct errors so the tool handler can map them to user-facing
// messages without re-parsing stderr.
func Run(ctx context.Context, opts RunOptions) (*RunResult, error) {
if opts.CacheDir == "" {
return nil, errors.New("engine: CacheDir is required")
}
pythonPath, err := resolvePython(opts.PythonPath)
if err != nil {
return nil, err
}
scriptPath := filepath.Join(opts.CacheDir, "last30days.py")
if _, err := os.Stat(scriptPath); err != nil {
return nil, fmt.Errorf("engine: last30days.py not found in cache %s: %w", opts.CacheDir, err)
}
timeout := resolveTimeout(opts.Timeout)
subCtx, cancel := context.WithTimeout(ctx, timeout)
defer cancel()
args := append([]string{scriptPath}, opts.Args...)
cmd := exec.CommandContext(subCtx, pythonPath, args...)
cmd.Env = buildEnv(opts.CacheDir, opts.ExtraEnv)
var stdout, stderr bytes.Buffer
cmd.Stdout = &stdout
cmd.Stderr = &stderr
err = cmd.Run()
res := &RunResult{
Stdout: stdout.Bytes(),
Stderr: stderr.Bytes(),
ExitCode: 0,
TimedOut: errors.Is(subCtx.Err(), context.DeadlineExceeded),
}
if err == nil {
return res, nil
}
var exitErr *exec.ExitError
if errors.As(err, &exitErr) {
res.ExitCode = exitErr.ExitCode()
if res.TimedOut {
return res, fmt.Errorf("engine: subprocess exceeded %s timeout", timeout)
}
return res, fmt.Errorf("engine: subprocess exited with code %d", res.ExitCode)
}
return res, fmt.Errorf("engine: subprocess failed to start: %w", err)
}
// resolvePython returns an absolute path to the interpreter or an error
// naming the install URL. If the caller supplied a path we trust it - tests
// rely on this to inject a stub. Otherwise we look up python3 on PATH.
func resolvePython(override string) (string, error) {
if override != "" {
return override, nil
}
path, err := exec.LookPath(DefaultPythonBinary)
if err == nil {
return path, nil
}
return "", fmt.Errorf(
"engine: %s not found on PATH (need Python %s+, install from %s; current GOOS=%s)",
DefaultPythonBinary, MinPythonVersion, PythonInstallURL, runtime.GOOS,
)
}
func resolveTimeout(explicit time.Duration) time.Duration {
if explicit > 0 {
return explicit
}
if raw := os.Getenv(TimeoutEnvOverride); raw != "" {
if d, err := time.ParseDuration(raw); err == nil && d > 0 {
return d
}
}
return DefaultTimeout
}
// buildEnv stitches PYTHONPATH onto os.Environ + ExtraEnv. Any pre-existing
// PYTHONPATH in the parent environment is dropped before appending the
// cache dir; otherwise the child sees two PYTHONPATH= entries and POSIX
// getenv returns the first one, so the user's value wins and the engine's
// `from lib import ...` fails with ModuleNotFoundError. The engine is
// self-contained and does not need the user's Python module search path.
func buildEnv(cacheDir string, extra []string) []string {
const pyKey = "PYTHONPATH="
parent := os.Environ()
base := make([]string, 0, len(parent)+1+len(extra))
for _, kv := range parent {
if strings.HasPrefix(kv, pyKey) {
continue
}
base = append(base, kv)
}
base = append(base, pyKey+cacheDir)
base = append(base, extra...)
return base
}
-281
View File
@@ -1,281 +0,0 @@
package engine
import (
"context"
"errors"
"os"
"path/filepath"
"runtime"
"strings"
"testing"
"time"
)
// makeStubPython writes a shell script that simulates python3 and returns
// its absolute path. The script honors a small env-driven protocol so each
// test can shape its output:
//
// STUB_STDOUT - text printed to stdout
// STUB_STDERR - text printed to stderr
// STUB_EXIT_CODE - integer exit code (default 0)
// STUB_SLEEP_SECS - sleep before exiting (for timeout tests)
// STUB_ECHO_ENV - name of an env var; the stub prints "<NAME>=<VALUE>"
// STUB_ECHO_ARG - integer index; the stub prints "ARG<i>=<args[i]>"
//
// The stub ignores its first argument (the script path), matching how a
// real python3 invocation treats `python3 last30days.py ...`.
func makeStubPython(t *testing.T) string {
t.Helper()
if runtime.GOOS == "windows" {
t.Skip("stub-python tests rely on POSIX shell")
}
dir := t.TempDir()
path := filepath.Join(dir, "python3-stub.sh")
script := `#!/usr/bin/env bash
if [ -n "${STUB_SLEEP_SECS:-}" ]; then sleep "$STUB_SLEEP_SECS"; fi
if [ -n "${STUB_STDOUT:-}" ]; then printf "%s" "$STUB_STDOUT"; fi
if [ -n "${STUB_STDERR:-}" ]; then printf "%s" "$STUB_STDERR" >&2; fi
if [ -n "${STUB_ECHO_ENV:-}" ]; then echo "${STUB_ECHO_ENV}=${!STUB_ECHO_ENV:-<unset>}"; fi
if [ -n "${STUB_ECHO_ARG:-}" ]; then echo "ARG${STUB_ECHO_ARG}=${!STUB_ECHO_ARG:-<unset>}"; fi
exit "${STUB_EXIT_CODE:-0}"
`
if err := os.WriteFile(path, []byte(script), 0o755); err != nil {
t.Fatalf("write stub: %v", err)
}
return path
}
// stageCache materializes a fake CacheDir with a no-op last30days.py so
// the existence check in Run passes. The stub python3 ignores the script
// contents, so the file just has to exist.
func stageCache(t *testing.T) string {
t.Helper()
dir := t.TempDir()
if err := os.WriteFile(filepath.Join(dir, "last30days.py"), []byte("# stub\n"), 0o644); err != nil {
t.Fatalf("stage cache: %v", err)
}
return dir
}
func TestRunHappyPath(t *testing.T) {
stub := makeStubPython(t)
cache := stageCache(t)
t.Setenv("STUB_STDOUT", "synthesis output\n")
res, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
Args: []string{"my topic", "--emit=compact"},
})
if err != nil {
t.Fatalf("Run: %v", err)
}
if string(res.Stdout) != "synthesis output\n" {
t.Fatalf("stdout = %q, want %q", res.Stdout, "synthesis output\n")
}
if res.ExitCode != 0 {
t.Fatalf("ExitCode = %d, want 0", res.ExitCode)
}
if res.TimedOut {
t.Fatal("TimedOut = true, want false")
}
}
func TestRunForwardsEnv(t *testing.T) {
stub := makeStubPython(t)
cache := stageCache(t)
t.Setenv("OPENAI_API_KEY", "sk-test-value")
t.Setenv("STUB_ECHO_ENV", "OPENAI_API_KEY")
res, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
})
if err != nil {
t.Fatalf("Run: %v", err)
}
if got := strings.TrimSpace(string(res.Stdout)); got != "OPENAI_API_KEY=sk-test-value" {
t.Fatalf("stdout = %q, want OPENAI_API_KEY=sk-test-value", got)
}
}
func TestRunSetsPythonPath(t *testing.T) {
stub := makeStubPython(t)
cache := stageCache(t)
t.Setenv("STUB_ECHO_ENV", "PYTHONPATH")
res, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
})
if err != nil {
t.Fatalf("Run: %v", err)
}
want := "PYTHONPATH=" + cache
if got := strings.TrimSpace(string(res.Stdout)); got != want {
t.Fatalf("stdout = %q, want %q", got, want)
}
}
// TestRunDropsPreExistingPythonPath guards the buildEnv dedup: when the
// parent already sets PYTHONPATH (common on dev machines and CI runners
// that touch Python), the child must NOT see two PYTHONPATH= entries.
// POSIX getenv returns the first match, so a duplicate from os.Environ
// would shadow our cache-dir entry and break `from lib import ...`.
func TestRunDropsPreExistingPythonPath(t *testing.T) {
stub := makeStubPython(t)
cache := stageCache(t)
t.Setenv("PYTHONPATH", "/users-stale-pythonpath")
t.Setenv("STUB_ECHO_ENV", "PYTHONPATH")
res, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
})
if err != nil {
t.Fatalf("Run: %v", err)
}
got := strings.TrimSpace(string(res.Stdout))
want := "PYTHONPATH=" + cache
if got != want {
t.Fatalf("stdout = %q, want %q (stale parent value leaked through)", got, want)
}
}
func TestBuildEnvDropsAllPreExistingPythonPath(t *testing.T) {
// Direct unit test on buildEnv to catch the case where the parent has
// PYTHONPATH set: the returned slice must contain exactly one
// PYTHONPATH= entry, and it must be ours.
t.Setenv("PYTHONPATH", "/parent/one")
cache := "/cache/dir"
out := buildEnv(cache, []string{"EXTRA=1"})
var pythonPaths []string
for _, kv := range out {
if strings.HasPrefix(kv, "PYTHONPATH=") {
pythonPaths = append(pythonPaths, kv)
}
}
if len(pythonPaths) != 1 {
t.Fatalf("got %d PYTHONPATH entries, want 1: %v", len(pythonPaths), pythonPaths)
}
if pythonPaths[0] != "PYTHONPATH="+cache {
t.Fatalf("PYTHONPATH = %q, want %q", pythonPaths[0], "PYTHONPATH="+cache)
}
// Confirm ExtraEnv still rides along.
found := false
for _, kv := range out {
if kv == "EXTRA=1" {
found = true
break
}
}
if !found {
t.Fatal("EXTRA=1 missing from buildEnv output")
}
}
func TestRunSurfacesExitCode(t *testing.T) {
stub := makeStubPython(t)
cache := stageCache(t)
t.Setenv("STUB_STDERR", "engine boom\n")
t.Setenv("STUB_EXIT_CODE", "2")
res, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
})
if err == nil {
t.Fatal("expected error for non-zero exit")
}
if res == nil {
t.Fatal("res is nil; want populated result alongside error")
}
if res.ExitCode != 2 {
t.Fatalf("ExitCode = %d, want 2", res.ExitCode)
}
if !strings.Contains(string(res.Stderr), "engine boom") {
t.Fatalf("stderr did not surface engine output: %q", res.Stderr)
}
}
func TestRunTimesOut(t *testing.T) {
stub := makeStubPython(t)
cache := stageCache(t)
t.Setenv("STUB_SLEEP_SECS", "3")
res, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
Timeout: 200 * time.Millisecond,
})
if err == nil {
t.Fatal("expected timeout error")
}
if !res.TimedOut {
t.Fatal("TimedOut = false, want true")
}
if !strings.Contains(err.Error(), "timeout") {
t.Fatalf("error %q lacks 'timeout' marker", err)
}
}
func TestRunMissingPython(t *testing.T) {
cache := stageCache(t)
// Empty PATH guarantees the lookup fails. PythonPath stays unset so Run
// falls through to exec.LookPath.
t.Setenv("PATH", "")
_, err := Run(context.Background(), RunOptions{CacheDir: cache})
if err == nil {
t.Fatal("expected lookup failure with empty PATH")
}
if !strings.Contains(err.Error(), DefaultPythonBinary) {
t.Fatalf("error %q does not mention %s", err, DefaultPythonBinary)
}
if !strings.Contains(err.Error(), PythonInstallURL) {
t.Fatalf("error %q does not include install URL", err)
}
}
func TestRunMissingScript(t *testing.T) {
stub := makeStubPython(t)
// CacheDir exists but contains no last30days.py.
cache := t.TempDir()
_, err := Run(context.Background(), RunOptions{
PythonPath: stub,
CacheDir: cache,
})
if err == nil {
t.Fatal("expected error when last30days.py missing")
}
if !strings.Contains(err.Error(), "last30days.py") {
t.Fatalf("error %q does not name missing script", err)
}
}
func TestRunRejectsEmptyCacheDir(t *testing.T) {
stub := makeStubPython(t)
_, err := Run(context.Background(), RunOptions{PythonPath: stub})
if err == nil {
t.Fatal("expected error for empty CacheDir")
}
if !errors.Is(err, err) || !strings.Contains(err.Error(), "CacheDir") {
t.Fatalf("error %q does not name CacheDir", err)
}
}
func TestResolveTimeoutHonorsEnv(t *testing.T) {
t.Setenv(TimeoutEnvOverride, "750ms")
if got := resolveTimeout(0); got != 750*time.Millisecond {
t.Fatalf("resolveTimeout = %v, want 750ms", got)
}
t.Setenv(TimeoutEnvOverride, "garbage")
if got := resolveTimeout(0); got != DefaultTimeout {
t.Fatalf("garbage value: got %v, want default %v", got, DefaultTimeout)
}
if got := resolveTimeout(time.Minute); got != time.Minute {
t.Fatalf("explicit value not honored: got %v", got)
}
}
-2
View File
@@ -1,2 +0,0 @@
Populated at build time by scripts/sync-engine.sh.
Source of truth: skills/last30days/scripts/.
-189
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@@ -1,189 +0,0 @@
// Package manifest holds tests for mcp/manifest.json. It contains no
// production code - the manifest itself is the artifact, and these tests
// guard structural invariants the bundling pipeline depends on.
package manifest
import (
"encoding/json"
"os"
"path/filepath"
"runtime"
"strings"
"testing"
)
// envBinding is a minimal subset of the MCPB v0.3 manifest just covering
// the fields these tests assert on. We deliberately do not depend on the
// printing-press internal/pipeline types (that's an internal/ package and
// not importable across modules) - the structural invariants below are
// what actually matter for Claude Desktop install correctness.
type manifestShape struct {
ManifestVersion string `json:"manifest_version"`
Name string `json:"name"`
Version string `json:"version"`
Server struct {
Type string `json:"type"`
EntryPoint string `json:"entry_point"`
MCPConfig struct {
Command string `json:"command"`
Env map[string]string `json:"env"`
} `json:"mcp_config"`
} `json:"server"`
UserConfig map[string]struct {
Type string `json:"type"`
Title string `json:"title"`
Description string `json:"description"`
Sensitive bool `json:"sensitive"`
Required bool `json:"required"`
} `json:"user_config"`
Compatibility struct {
ClaudeDesktop string `json:"claude_desktop"`
Platforms []string `json:"platforms"`
} `json:"compatibility"`
}
// loadManifest reads mcp/manifest.json relative to this test file so the
// test passes regardless of where `go test` is invoked from.
func loadManifest(t *testing.T) manifestShape {
t.Helper()
_, thisFile, _, ok := runtime.Caller(0)
if !ok {
t.Fatal("runtime.Caller failed")
}
// manifest_test.go is at mcp/internal/manifest/; manifest.json at mcp/.
manifestPath := filepath.Join(filepath.Dir(thisFile), "..", "..", "manifest.json")
data, err := os.ReadFile(manifestPath)
if err != nil {
t.Fatalf("read manifest: %v", err)
}
var m manifestShape
if err := json.Unmarshal(data, &m); err != nil {
t.Fatalf("parse manifest: %v", err)
}
return m
}
func TestManifestRequiredFields(t *testing.T) {
m := loadManifest(t)
if m.ManifestVersion != "0.3" {
t.Errorf("manifest_version = %q, want 0.3", m.ManifestVersion)
}
if m.Name != "last30days-pp-mcp" {
t.Errorf("name = %q, want last30days-pp-mcp", m.Name)
}
if m.Version == "" {
t.Error("version is empty")
}
if m.Server.Type != "binary" {
t.Errorf("server.type = %q, want binary", m.Server.Type)
}
if m.Server.EntryPoint != "bin/last30days-pp-mcp" {
t.Errorf("server.entry_point = %q, want bin/last30days-pp-mcp", m.Server.EntryPoint)
}
if m.Compatibility.ClaudeDesktop == "" {
t.Error("compatibility.claude_desktop is empty")
}
}
// TestEnvAndUserConfigCrossReference is the key invariant: every
// ${user_config.<key>} substitution in server.mcp_config.env must point
// at a real user_config entry, and every declared user_config must be
// wired to an env var. A typo on either side silently disables a credential
// at install time without the binary or Claude Desktop noticing.
func TestEnvAndUserConfigCrossReference(t *testing.T) {
m := loadManifest(t)
if len(m.Server.MCPConfig.Env) == 0 {
t.Fatal("server.mcp_config.env is empty; expected user_config substitutions")
}
if len(m.UserConfig) == 0 {
t.Fatal("user_config is empty; expected per-key declarations")
}
for envName, value := range m.Server.MCPConfig.Env {
key, ok := parseUserConfigRef(value)
if !ok {
t.Errorf("env[%s] = %q is not a ${user_config.<key>} reference", envName, value)
continue
}
if _, declared := m.UserConfig[key]; !declared {
t.Errorf("env[%s] references user_config[%q], which is not declared", envName, key)
}
// The user_config key must be the lowercased env var so Claude
// Desktop's substitution rule matches PP's emitted shape.
if got := strings.ToLower(envName); key != got {
t.Errorf("env[%s] -> user_config[%q]; convention requires user_config[%q]", envName, key, got)
}
}
envValues := make(map[string]bool, len(m.Server.MCPConfig.Env))
for _, value := range m.Server.MCPConfig.Env {
if key, ok := parseUserConfigRef(value); ok {
envValues[key] = true
}
}
for key := range m.UserConfig {
if !envValues[key] {
t.Errorf("user_config[%q] is declared but never substituted into env", key)
}
}
}
func TestUserConfigShape(t *testing.T) {
m := loadManifest(t)
for key, slot := range m.UserConfig {
if slot.Type != "string" {
t.Errorf("user_config[%q].type = %q, want string", key, slot.Type)
}
if slot.Title == "" {
t.Errorf("user_config[%q].title is empty", key)
}
if slot.Description == "" {
t.Errorf("user_config[%q].description is empty", key)
}
if !slot.Sensitive {
// API keys must be flagged sensitive so Claude Desktop masks
// the input and prefers OS-keychain storage.
t.Errorf("user_config[%q].sensitive = false; want true for API credentials", key)
}
if slot.Required {
// The engine degrades to web-only mode without keys, so no
// key is install-blocking.
t.Errorf("user_config[%q].required = true; engine degrades without keys, so all keys are optional", key)
}
}
}
func TestPlatformsMatchShippingMatrix(t *testing.T) {
// compatibility.platforms must list exactly what the release CI
// actually packages. Listing a platform we don't ship would let
// Claude Desktop start an install that has no matching binary inside
// the bundle, producing a silent failure. The CI matrix in
// .github/workflows/release.yml currently covers darwin (arm64 +
// amd64) and linux/amd64; Windows is deferred.
m := loadManifest(t)
required := map[string]bool{"darwin": false, "linux": false}
forbidden := map[string]bool{"win32": true}
for _, p := range m.Compatibility.Platforms {
if _, ok := required[p]; ok {
required[p] = true
}
if forbidden[p] {
t.Errorf("compatibility.platforms contains %q but the release matrix does not ship that platform; add it to the matrix or remove from the manifest", p)
}
}
for p, found := range required {
if !found {
t.Errorf("compatibility.platforms missing %q", p)
}
}
}
func parseUserConfigRef(value string) (string, bool) {
const prefix = "${user_config."
const suffix = "}"
if !strings.HasPrefix(value, prefix) || !strings.HasSuffix(value, suffix) {
return "", false
}
return value[len(prefix) : len(value)-len(suffix)], true
}
-146
View File
@@ -1,146 +0,0 @@
// Package tools owns the MCP tool surface for last30days. Today there is
// exactly one tool, research, mirroring the /last30days <topic> slash
// command available in Claude Code. Adding new tools means another file
// here plus an additional s.AddTool call in Register.
package tools
import (
"context"
"errors"
"fmt"
"strings"
mcplib "github.com/mark3labs/mcp-go/mcp"
"github.com/mark3labs/mcp-go/server"
"github.com/mvanhorn/last30days-skill/mcp/internal/engine"
)
// Config carries the version string used to namespace the per-user cache.
// main passes its ldflags-stamped Version here.
type Config struct {
Version string
}
// Register adds every tool this server exposes to s. The caller supplies a
// Config so test harnesses can pin a version without touching globals.
func Register(s *server.MCPServer, cfg Config) {
s.AddTool(
mcplib.NewTool("research",
mcplib.WithDescription(
"Research what people are actually saying about any topic in the last 30 days. "+
"Aggregates Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, "+
"scored by upvotes, likes, transcripts, and real-money prediction-market odds. "+
"Returns the engine's compact output for the model to synthesize.",
),
mcplib.WithString("topic", mcplib.Required(), mcplib.Description("The subject to research (a person, company, product, event, or general topic).")),
mcplib.WithString("emit", mcplib.Description("Output shape: 'compact' (default) for inline synthesis or 'html' to save a shareable brief alongside the response.")),
mcplib.WithBoolean("save", mcplib.Description("Persist the synthesis as a markdown report under ~/Documents/Last30Days/ (or LAST30DAYS_MEMORY_DIR if set).")),
mcplib.WithReadOnlyHintAnnotation(true),
mcplib.WithDestructiveHintAnnotation(false),
mcplib.WithOpenWorldHintAnnotation(true),
),
makeResearchHandler(cfg),
)
}
func makeResearchHandler(cfg Config) server.ToolHandlerFunc {
return func(ctx context.Context, req mcplib.CallToolRequest) (*mcplib.CallToolResult, error) {
args := req.GetArguments()
topic, err := requireString(args, "topic")
if err != nil {
return mcplib.NewToolResultError(err.Error()), nil
}
emit, err := emitArgument(args)
if err != nil {
return mcplib.NewToolResultError(err.Error()), nil
}
save, err := boolArgument(args, "save")
if err != nil {
return mcplib.NewToolResultError(err.Error()), nil
}
src, err := engine.EngineFS()
if err != nil {
return mcplib.NewToolResultError(fmt.Sprintf("engine source unavailable: %v", err)), nil
}
cacheDir, err := engine.EnsureUserCache(src, cfg.Version)
if err != nil {
return mcplib.NewToolResultError(fmt.Sprintf(
"engine extract failed: %v\nhint: set %s to a writable directory if the default cache location is locked down",
err, engine.CacheEnvOverride,
)), nil
}
runArgs := []string{topic, "--emit=" + emit}
if save {
runArgs = append(runArgs, "--save")
}
res, runErr := engine.Run(ctx, engine.RunOptions{
CacheDir: cacheDir,
Args: runArgs,
})
if runErr != nil {
return mcplib.NewToolResultError(formatRunError(runErr, res)), nil
}
return mcplib.NewToolResultText(string(res.Stdout)), nil
}
}
func requireString(args map[string]any, name string) (string, error) {
raw, ok := args[name]
if !ok {
return "", fmt.Errorf("%s is required", name)
}
value, ok := raw.(string)
if !ok || strings.TrimSpace(value) == "" {
return "", fmt.Errorf("%s must be a non-empty string", name)
}
return value, nil
}
func emitArgument(args map[string]any) (string, error) {
raw, ok := args["emit"]
if !ok {
return "compact", nil
}
value, ok := raw.(string)
if !ok {
return "", errors.New("emit must be a string")
}
switch value {
case "":
return "compact", nil
case "compact", "html":
return value, nil
default:
return "", fmt.Errorf("emit must be 'compact' or 'html', got %q", value)
}
}
func boolArgument(args map[string]any, name string) (bool, error) {
raw, ok := args[name]
if !ok {
return false, nil
}
value, ok := raw.(bool)
if !ok {
return false, fmt.Errorf("%s must be a boolean", name)
}
return value, nil
}
// formatRunError flattens engine.Run's distinct error shapes into a single
// user-facing message that includes the relevant stderr context.
func formatRunError(runErr error, res *engine.RunResult) string {
var msg strings.Builder
msg.WriteString(runErr.Error())
if res != nil && len(res.Stderr) > 0 {
msg.WriteString("\nengine stderr:\n")
msg.Write(res.Stderr)
}
return msg.String()
}
-145
View File
@@ -1,145 +0,0 @@
package tools
import (
"context"
"errors"
"strings"
"testing"
mcplib "github.com/mark3labs/mcp-go/mcp"
"github.com/mvanhorn/last30days-skill/mcp/internal/engine"
)
func newCallToolRequest(args map[string]any) mcplib.CallToolRequest {
var req mcplib.CallToolRequest
req.Params.Arguments = args
return req
}
// resultText pulls text content out of a tool result so tests can assert on
// the body Claude will see. Returns empty string when the result is nil or
// has no text content.
func resultText(res *mcplib.CallToolResult) string {
if res == nil {
return ""
}
var out strings.Builder
for _, item := range res.Content {
if tc, ok := item.(mcplib.TextContent); ok {
out.WriteString(tc.Text)
}
}
return out.String()
}
func TestRequireStringRejectsMissingAndBlank(t *testing.T) {
if _, err := requireString(map[string]any{}, "topic"); err == nil {
t.Fatal("expected error for missing topic")
}
if _, err := requireString(map[string]any{"topic": ""}, "topic"); err == nil {
t.Fatal("expected error for empty topic")
}
if _, err := requireString(map[string]any{"topic": " "}, "topic"); err == nil {
t.Fatal("expected error for whitespace-only topic")
}
if _, err := requireString(map[string]any{"topic": 42}, "topic"); err == nil {
t.Fatal("expected error for non-string topic")
}
v, err := requireString(map[string]any{"topic": "OpenAI"}, "topic")
if err != nil || v != "OpenAI" {
t.Fatalf("requireString ok = %q, %v", v, err)
}
}
func TestEmitArgumentDefaultsAndValidates(t *testing.T) {
cases := []struct {
name string
args map[string]any
want string
wantErr bool
}{
{"missing defaults to compact", map[string]any{}, "compact", false},
{"empty string defaults to compact", map[string]any{"emit": ""}, "compact", false},
{"compact passes through", map[string]any{"emit": "compact"}, "compact", false},
{"html passes through", map[string]any{"emit": "html"}, "html", false},
{"invalid value rejected", map[string]any{"emit": "json"}, "", true},
{"non-string rejected", map[string]any{"emit": 7}, "", true},
}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
got, err := emitArgument(tc.args)
if (err != nil) != tc.wantErr {
t.Fatalf("err = %v, wantErr = %v", err, tc.wantErr)
}
if got != tc.want {
t.Fatalf("got %q, want %q", got, tc.want)
}
})
}
}
func TestBoolArgument(t *testing.T) {
v, err := boolArgument(map[string]any{}, "save")
if err != nil || v {
t.Fatalf("missing: %v, %v", v, err)
}
v, err = boolArgument(map[string]any{"save": true}, "save")
if err != nil || !v {
t.Fatalf("true: %v, %v", v, err)
}
v, err = boolArgument(map[string]any{"save": false}, "save")
if err != nil || v {
t.Fatalf("false: %v, %v", v, err)
}
if _, err := boolArgument(map[string]any{"save": "true"}, "save"); err == nil {
t.Fatal("expected error for string value")
}
}
func TestResearchHandlerValidationErrorsAreToolErrors(t *testing.T) {
// Validation failures are returned as MCP tool errors (not Go errors)
// so Claude sees a structured failure with a readable message rather
// than a transport-level fault.
handler := makeResearchHandler(Config{Version: "test"})
cases := []struct {
name string
args map[string]any
wantSub string
}{
{"missing topic", map[string]any{}, "topic is required"},
{"blank topic", map[string]any{"topic": " "}, "non-empty string"},
{"invalid emit", map[string]any{"topic": "OpenAI", "emit": "json"}, "must be 'compact' or 'html'"},
{"non-bool save", map[string]any{"topic": "OpenAI", "save": "yes"}, "save must be a boolean"},
}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
res, err := handler(context.Background(), newCallToolRequest(tc.args))
if err != nil {
t.Fatalf("handler should not return Go error for validation; got %v", err)
}
if res == nil || !res.IsError {
t.Fatalf("expected IsError result, got %+v", res)
}
if !strings.Contains(resultText(res), tc.wantSub) {
t.Fatalf("result text %q missing substring %q", resultText(res), tc.wantSub)
}
})
}
}
func TestFormatRunErrorIncludesStderr(t *testing.T) {
res := &engine.RunResult{Stderr: []byte("engine exploded\n")}
msg := formatRunError(errors.New("boom"), res)
if !strings.Contains(msg, "boom") || !strings.Contains(msg, "engine exploded") {
t.Fatalf("formatRunError missed pieces: %q", msg)
}
}
func TestFormatRunErrorHandlesNilResult(t *testing.T) {
msg := formatRunError(errors.New("boom"), nil)
if msg != "boom" {
t.Fatalf("nil result: got %q, want %q", msg, "boom")
}
}
-151
View File
@@ -1,151 +0,0 @@
{
"manifest_version": "0.3",
"name": "last30days-pp-mcp",
"display_name": "Last30Days",
"version": "3.0.0",
"description": "Research any topic across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web - last 30 days, scored by upvotes, likes, and real-money prediction-market odds.",
"author": {
"name": "Matt Van Horn",
"url": "https://github.com/mvanhorn/last30days-skill"
},
"repository": {
"type": "git",
"url": "https://github.com/mvanhorn/last30days-skill"
},
"license": "MIT",
"keywords": [
"research",
"reddit",
"twitter",
"x",
"youtube",
"hacker-news",
"polymarket",
"github",
"search",
"synthesis"
],
"server": {
"type": "binary",
"entry_point": "bin/last30days-pp-mcp",
"mcp_config": {
"command": "${__dirname}/bin/last30days-pp-mcp",
"args": [],
"env": {
"OPENAI_API_KEY": "${user_config.openai_api_key}",
"XAI_API_KEY": "${user_config.xai_api_key}",
"BRAVE_API_KEY": "${user_config.brave_api_key}",
"EXA_API_KEY": "${user_config.exa_api_key}",
"SERPER_API_KEY": "${user_config.serper_api_key}",
"GOOGLE_API_KEY": "${user_config.google_api_key}",
"GEMINI_API_KEY": "${user_config.gemini_api_key}",
"GOOGLE_GENAI_API_KEY": "${user_config.google_genai_api_key}",
"APIFY_API_TOKEN": "${user_config.apify_api_token}",
"BSKY_APP_PASSWORD": "${user_config.bsky_app_password}",
"PARALLEL_API_KEY": "${user_config.parallel_api_key}",
"SCRAPECREATORS_API_KEY": "${user_config.scrapecreators_api_key}",
"OPENROUTER_API_KEY": "${user_config.openrouter_api_key}"
}
}
},
"user_config": {
"openai_api_key": {
"type": "string",
"title": "OPENAI_API_KEY",
"description": "OpenAI API key. Powers Reddit research via OpenAI's web_search tool. Get one at https://platform.openai.com/api-keys.",
"sensitive": true,
"required": false
},
"xai_api_key": {
"type": "string",
"title": "XAI_API_KEY",
"description": "xAI API key. Powers X / Twitter research via xAI's x_search tool. Get one at https://console.x.ai/.",
"sensitive": true,
"required": false
},
"brave_api_key": {
"type": "string",
"title": "BRAVE_API_KEY",
"description": "Brave Search API key. Used for grounded web search results. Get one at https://brave.com/search/api/.",
"sensitive": true,
"required": false
},
"exa_api_key": {
"type": "string",
"title": "EXA_API_KEY",
"description": "Exa search API key. Alternative web search backend with semantic ranking. Get one at https://exa.ai/.",
"sensitive": true,
"required": false
},
"serper_api_key": {
"type": "string",
"title": "SERPER_API_KEY",
"description": "Serper API key. Google search via API. Get one at https://serper.dev/.",
"sensitive": true,
"required": false
},
"google_api_key": {
"type": "string",
"title": "GOOGLE_API_KEY",
"description": "Google API key for YouTube transcript fetching and other Google services. Get one at https://console.cloud.google.com/apis/credentials.",
"sensitive": true,
"required": false
},
"gemini_api_key": {
"type": "string",
"title": "GEMINI_API_KEY",
"description": "Gemini API key. Used for synthesis fallback when other LLM providers are unavailable. Get one at https://aistudio.google.com/apikey.",
"sensitive": true,
"required": false
},
"google_genai_api_key": {
"type": "string",
"title": "GOOGLE_GENAI_API_KEY",
"description": "Alternative Google generative-AI API key. Same source as GEMINI_API_KEY; set whichever name your tooling expects.",
"sensitive": true,
"required": false
},
"apify_api_token": {
"type": "string",
"title": "APIFY_API_TOKEN",
"description": "Apify API token. Powers TikTok and Instagram Reels search via Apify actors. Get one at https://console.apify.com/account/integrations.",
"sensitive": true,
"required": false
},
"bsky_app_password": {
"type": "string",
"title": "BSKY_APP_PASSWORD",
"description": "Bluesky app password (not your main password). Powers AT Protocol post search. Create at https://bsky.app/settings/app-passwords.",
"sensitive": true,
"required": false
},
"parallel_api_key": {
"type": "string",
"title": "PARALLEL_API_KEY",
"description": "Parallel AI key. Powers parallel research runs across sources. Get one at https://parallel.ai/.",
"sensitive": true,
"required": false
},
"scrapecreators_api_key": {
"type": "string",
"title": "SCRAPECREATORS_API_KEY",
"description": "ScrapeCreators API key. Powers creator-focused social search across TikTok, Instagram, and YouTube. Get one at https://scrapecreators.com/.",
"sensitive": true,
"required": false
},
"openrouter_api_key": {
"type": "string",
"title": "OPENROUTER_API_KEY",
"description": "OpenRouter API key. Alternative LLM provider gateway for synthesis. Get one at https://openrouter.ai/keys.",
"sensitive": true,
"required": false
}
},
"compatibility": {
"claude_desktop": ">=1.0.0",
"platforms": [
"darwin",
"linux"
]
}
}
-35
View File
@@ -1,35 +0,0 @@
#!/usr/bin/env bash
# Mirrors skills/last30days/scripts/{last30days.py,lib/} into mcp/vendored/
# so the Go binary's embed.FS captures the engine at build time.
#
# Source of truth: skills/last30days/scripts/. Never edit mcp/vendored/ directly.
# Run before `go build` locally and in CI before `printing-press bundle`.
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
MCP_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
REPO_ROOT="$(cd "${MCP_DIR}/.." && pwd)"
ENGINE_SRC="${REPO_ROOT}/skills/last30days/scripts"
# Embed path must live inside the consuming package (Go //go:embed cannot
# reach outside its own directory tree), so vendored/ sits under engine/.
VENDORED="${MCP_DIR}/internal/engine/vendored"
if [ ! -f "${ENGINE_SRC}/last30days.py" ]; then
echo "sync-engine: ${ENGINE_SRC}/last30days.py not found" >&2
exit 1
fi
mkdir -p "${VENDORED}"
# Clear stale content while keeping the .gitkeep that anchors the embed path.
find "${VENDORED}" -mindepth 1 -not -name ".gitkeep" -delete
# Copy the entry script and the lib/ tree (modules + lib/vendor/).
cp "${ENGINE_SRC}/last30days.py" "${VENDORED}/last30days.py"
cp -R "${ENGINE_SRC}/lib" "${VENDORED}/lib"
# Strip caches so the embed.FS stays deterministic.
find "${VENDORED}" -type d -name "__pycache__" -prune -exec rm -rf {} +
find "${VENDORED}" -type f -name "*.pyc" -delete
echo "sync-engine: vendored engine at ${VENDORED}"
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+8 -5
View File
@@ -1,10 +1,12 @@
[project]
name = "last30days-skill"
version = "3.2.3"
version = "3.0.0"
description = "Multi-source last-30-days research skill"
readme = "README.md"
requires-python = ">=3.12"
dependencies = []
dependencies = [
"requests>=2.32,<3",
]
[dependency-groups]
dev = [
@@ -22,9 +24,9 @@ addopts = [
[tool.coverage.run]
branch = true
source = ["skills/last30days/scripts", "tests"]
source = ["scripts", "tests"]
omit = [
"skills/last30days/scripts/lib/vendor/*",
"scripts/lib/vendor/*",
"dist/*",
]
@@ -32,6 +34,7 @@ omit = [
skip_empty = true
show_missing = true
omit = [
"skills/last30days/scripts/lib/vendor/*",
"scripts/lib/vendor/*",
"dist/*",
]
+1 -1
View File
@@ -58,7 +58,7 @@ OpenClaw:
clawhub install last30days-official
```
OpenAI Codex CLI: install the repo as a local Codex marketplace/plugin. The plugin manifest lives at `.codex-plugin/plugin.json`, and the canonical skill payload is `skills/last30days/SKILL.md`.
OpenAI Codex CLI: run `codex` from a checkout of this repo and v3's skill at `.agents/skills/last30days/SKILL.md` will be discovered automatically. Or copy `SKILL.md` to `~/.agents/skills/last30days/SKILL.md` for a global install.
Zero config. Reddit, Hacker News, Polymarket, and GitHub work immediately. Run it once and the setup wizard unlocks X, YouTube, TikTok, and more in 30 seconds.
@@ -1,14 +1,13 @@
#!/usr/bin/env bash
# build-skill.sh - package this repo as a claude.ai-upload-ready .skill file
# Usage: bash skills/last30days/scripts/build-skill.sh (run from repo root)
# Usage: bash scripts/build-skill.sh (run from repo root)
#
# Produces dist/last30days.skill, a zip with a single top-level `last30days/`
# directory containing SKILL.md and the scripts/ runtime from skills/last30days.
# See
# directory containing SKILL.md and the scripts/ runtime. See
# docs/plans/2026-04-14-001-fix-skill-upload-200-file-limit-plan.md.
set -euo pipefail
REPO_ROOT="$(cd "$(dirname "$0")/../../.." && pwd)"
REPO_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
cd "$REPO_ROOT"
if ! git diff --quiet || ! git diff --cached --quiet; then
@@ -18,7 +17,14 @@ fi
mkdir -p dist
OUT="dist/last30days.skill"
git archive --format=zip --prefix=last30days/ --output="$OUT" HEAD:skills/last30days
git archive --format=zip --prefix=last30days/ --output="$OUT" HEAD
# claude.ai's .skill bundle only needs the root SKILL.md + scripts/ runtime.
# Claude Code needs skills/ and .claude-plugin/ in the git archive
# (that's why they're NOT in .gitattributes export-ignore), but the .skill
# bundle must strip them to keep a single canonical SKILL.md and stay under
# the 200-file cap.
zip -d "$OUT" "last30days/skills/*" "last30days/.claude-plugin/*" > /dev/null 2>&1 || true
COUNT=$(unzip -l "$OUT" | tail -1 | awk '{print $2}')
SIZE=$(du -h "$OUT" | cut -f1)
@@ -1,6 +1,6 @@
#!/bin/bash
# A/B test runner: public release vs private beta
# Usage: bash skills/last30days/scripts/compare.sh "Kanye West"
# Usage: bash scripts/compare.sh "Kanye West"
#
# Runs /last30days (public release) and /last30days-beta (private beta)
# sequentially with a 30s gap, saves raw results with distinct suffixes,
@@ -9,8 +9,8 @@
set -e
if [ $# -eq 0 ]; then
echo "Usage: bash skills/last30days/scripts/compare.sh <topic>"
echo " Example: bash skills/last30days/scripts/compare.sh Kevin Rose"
echo "Usage: bash scripts/compare.sh <topic>"
echo " Example: bash scripts/compare.sh Kevin Rose"
exit 1
fi
TOPIC="$*"
@@ -22,8 +22,7 @@ from lib import env as envlib
from lib import schema
SKILL_ROOT = Path(__file__).resolve().parents[1]
REPO_ROOT = Path(__file__).resolve().parents[3]
REPO_ROOT = Path(__file__).resolve().parent.parent
EVAL_TOPICS_FILE = REPO_ROOT / "fixtures" / "eval_topics.json"
@@ -308,10 +307,7 @@ def create_eval_env() -> dict[str, str]:
def run_last30days(repo_dir: Path, topic: str, *, search: str, timeout_seconds: int, quick: bool, mock: bool, env: dict[str, str]) -> dict[str, Any]:
engine = repo_dir / "skills" / "last30days" / "scripts" / "last30days.py"
if not engine.exists():
engine = repo_dir / "scripts" / "last30days.py"
cmd = [sys.executable, str(engine), topic, "--emit=json"]
cmd = [sys.executable, "scripts/last30days.py", topic, "--emit=json"]
if search:
cmd.extend(["--search", search])
if quick:
@@ -41,7 +41,7 @@ if os.name == "nt":
SCRIPT_DIR = Path(__file__).parent.resolve()
sys.path.insert(0, str(SCRIPT_DIR))
from lib import env, html_render, pipeline, render, schema, ui
from lib import env, pipeline, render, schema, ui
_child_pids: set[int] = set()
_child_pids_lock = threading.Lock()
@@ -91,46 +91,30 @@ def slugify(value: str) -> str:
return slug or "last30days"
def save_output(
report: schema.Report,
emit: str,
save_dir: str,
suffix: str = "",
synthesis_md: str | None = None,
) -> Path:
def save_output(report: schema.Report, emit: str, save_dir: str, suffix: str = "") -> Path:
from datetime import datetime
path = Path(save_dir).expanduser().resolve()
path.mkdir(parents=True, exist_ok=True)
slug = slugify(report.topic)
extension = "json" if emit == "json" else "html" if emit == "html" else "md"
raw_label = "raw-html" if emit == "html" else "raw"
extension = "json" if emit == "json" else "md"
suffix_part = f"-{suffix}" if suffix else ""
out_path = path / f"{slug}-{raw_label}{suffix_part}.{extension}"
out_path = path / f"{slug}-raw{suffix_part}.{extension}"
if out_path.exists():
out_path = path / f"{slug}-{raw_label}{suffix_part}-{datetime.now().strftime('%Y-%m-%d')}.{extension}"
# Markdown saves keep the complete debug artifact. JSON and HTML preserve
# their requested wire format so file extensions match their content.
if emit in {"json", "html"}:
content = emit_output(report, emit, synthesis_md=synthesis_md)
out_path = path / f"{slug}-raw{suffix_part}-{datetime.now().strftime('%Y-%m-%d')}.{extension}"
# Always save the FULL dump to disk (all items, all sources, transcripts).
# Claude sees compact clusters via --emit=compact on stdout.
# The saved file is the complete debug artifact.
if emit == "json":
content = emit_output(report, emit)
else:
content = render.render_full(report)
out_path.write_text(content, encoding="utf-8")
return out_path
def emit_output(
report: schema.Report,
emit: str,
fun_level: str = "medium",
save_path: str | None = None,
synthesis_md: str | None = None,
) -> str:
def emit_output(report: schema.Report, emit: str, fun_level: str = "medium", save_path: str | None = None) -> str:
if emit == "json":
return json.dumps(schema.to_dict(report), indent=2, sort_keys=True)
if emit == "html":
return html_render.render_html(
report, fun_level=fun_level, save_path=save_path, synthesis_md=synthesis_md,
)
if emit in {"compact", "md"}:
return render.render_compact(report, fun_level=fun_level, save_path=save_path)
if emit == "context":
@@ -143,7 +127,6 @@ def emit_comparison_output(
emit: str,
fun_level: str = "medium",
save_path: str | None = None,
synthesis_md: str | None = None,
) -> str:
if emit == "json":
payload = {
@@ -155,13 +138,6 @@ def emit_comparison_output(
],
}
return json.dumps(payload, indent=2, sort_keys=True)
if emit == "html":
return html_render.render_html_comparison(
entity_reports,
fun_level=fun_level,
save_path=save_path,
synthesis_md=synthesis_md,
)
if emit in {"compact", "md"}:
return render.render_comparison_multi(
entity_reports, fun_level=fun_level, save_path=save_path,
@@ -180,10 +156,9 @@ def compute_save_path_display(save_dir: str, topic: str, suffix: str, emit: str)
from pathlib import Path as _Path
path = _Path(save_dir).expanduser().resolve()
slug = slugify(topic)
extension = "json" if emit == "json" else "html" if emit == "html" else "md"
raw_label = "raw-html" if emit == "html" else "raw"
extension = "json" if emit == "json" else "md"
suffix_part = f"-{suffix}" if suffix else ""
raw = path / f"{slug}-{raw_label}{suffix_part}.{extension}"
raw = path / f"{slug}-raw{suffix_part}.{extension}"
try:
home = _Path.home().resolve()
relative = raw.relative_to(home)
@@ -192,14 +167,6 @@ def compute_save_path_display(save_dir: str, topic: str, suffix: str, emit: str)
return str(raw)
def read_synthesis_file(path: str) -> str:
try:
return Path(path).expanduser().read_text(encoding="utf-8")
except OSError as exc:
sys.stderr.write(f"[last30days] Cannot read --synthesis-file: {exc}\n")
raise SystemExit(2)
def persist_report(report: schema.Report) -> dict[str, int]:
import store
@@ -226,7 +193,7 @@ def persist_report(report: schema.Report) -> dict[str, int]:
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="Research a topic across live social, market, and grounded web sources.")
parser.add_argument("topic", nargs="*", help="Research topic")
parser.add_argument("--emit", default="compact", choices=["compact", "json", "context", "md", "html"])
parser.add_argument("--emit", default="compact", choices=["compact", "json", "context", "md"])
parser.add_argument("--search", help="Comma-separated source list")
parser.add_argument("--quick", action="store_true", help="Lower-latency retrieval profile")
parser.add_argument("--deep", action="store_true", help="Higher-recall retrieval profile")
@@ -234,7 +201,6 @@ def build_parser() -> argparse.ArgumentParser:
parser.add_argument("--mock", action="store_true", help="Use mock retrieval fixtures")
parser.add_argument("--diagnose", action="store_true", help="Print provider and source availability")
parser.add_argument("--save-dir", help="Optional directory for saving the rendered output")
parser.add_argument("--synthesis-file", help="Markdown synthesis to embed in --emit=html output")
parser.add_argument("--store", action="store_true", help="Persist ranked findings to the SQLite research store")
parser.add_argument("--x-handle", help="X handle for targeted supplemental search")
parser.add_argument("--x-related", help="Comma-separated related X handles (searched with lower weight)")
@@ -571,13 +537,6 @@ def main() -> int:
parser.print_usage(sys.stderr)
return 2
synthesis_md = None
if args.synthesis_file:
if args.emit == "html":
synthesis_md = read_synthesis_file(args.synthesis_file)
else:
sys.stderr.write("[last30days] Warning: --synthesis-file is only used with --emit=html; ignoring.\n")
if not os.environ.get("LAST30DAYS_SKIP_PREFLIGHT"):
from lib import preflight
refuse_msg = preflight.check_class_1_trap(topic)
@@ -895,29 +854,15 @@ def main() -> int:
if entity_reports:
rendered = emit_comparison_output(
entity_reports,
args.emit,
fun_level=fun_level,
save_path=footer_save_path,
synthesis_md=synthesis_md,
entity_reports, args.emit, fun_level=fun_level, save_path=footer_save_path,
)
else:
rendered = emit_output(
report,
args.emit,
fun_level=fun_level,
save_path=footer_save_path,
synthesis_md=synthesis_md,
report, args.emit, fun_level=fun_level, save_path=footer_save_path,
)
if args.save_dir:
# Save the main topic's raw file (single-entity or comparison main).
save_path = save_output(
report,
args.emit,
args.save_dir,
suffix=args.save_suffix or "",
synthesis_md=synthesis_md,
)
save_path = save_output(report, args.emit, args.save_dir, suffix=args.save_suffix or "")
sys.stderr.write(f"[last30days] Saved output to {save_path}\n")
# Competitor / vs-mode: also save a per-entity raw file for each peer.
# Matches historical vs-mode behavior (N passes → N save files).
@@ -926,7 +871,6 @@ def main() -> int:
peer_path = save_output(
entity_report, args.emit, args.save_dir,
suffix=args.save_suffix or "",
synthesis_md=synthesis_md,
)
sys.stderr.write(f"[last30days] Saved output to {peer_path}\n")
sys.stderr.flush()
@@ -7,11 +7,13 @@ See scripts/lib/vendor/bird-search/package.json for authoritative version.
import json
import os
import signal
import shutil
import subprocess
import sys
from pathlib import Path
from . import http, log, subproc
from . import http, log
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
@@ -166,51 +168,62 @@ def _run_bird_search(query: str, count: int, timeout: int) -> Dict[str, Any]:
"--json",
]
pid_holder: list[int] = []
# Use process groups for clean cleanup on timeout/kill
preexec = os.setsid if hasattr(os, 'setsid') else None
def _register(pid: int) -> None:
pid_holder.append(pid)
try:
proc = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
encoding="utf-8",
errors="replace",
preexec_fn=preexec,
env=_subprocess_env(),
)
# Register for cleanup tracking (if available)
try:
from last30days import register_child_pid
register_child_pid(pid)
from last30days import register_child_pid, unregister_child_pid
register_child_pid(proc.pid)
except ImportError:
pass
try:
result = subproc.run_with_timeout(
cmd,
timeout=timeout,
env=_subprocess_env(),
on_pid=_register,
)
except subproc.SubprocTimeout:
return {"error": f"Search timed out after {timeout}s", "items": []}
except Exception as e:
return {"error": str(e), "items": []}
finally:
if pid_holder:
try:
stdout, stderr = proc.communicate(timeout=timeout)
except subprocess.TimeoutExpired:
# Kill the entire process group
try:
os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
except (ProcessLookupError, PermissionError, OSError):
proc.kill()
proc.wait(timeout=5)
return {"error": f"Search timed out after {timeout}s", "items": []}
finally:
try:
from last30days import unregister_child_pid
unregister_child_pid(pid_holder[0])
unregister_child_pid(proc.pid)
except Exception:
pass
if result.returncode != 0:
error = result.stderr.strip() or "Bird search failed"
return {"error": error, "items": []}
if proc.returncode != 0:
error = stderr.strip() if stderr else "Bird search failed"
return {"error": error, "items": []}
output = result.stdout.strip()
if not output:
return {"items": []}
output = stdout.strip() if stdout else ""
if not output:
return {"items": []}
try:
parsed = json.loads(output)
if isinstance(parsed, list):
return {"items": parsed}
return parsed
except json.JSONDecodeError as e:
return {"error": f"Invalid JSON response: {e}", "items": []}
if isinstance(parsed, list):
return {"items": parsed}
return parsed
except Exception as e:
return {"error": str(e), "items": []}
def search_x(
@@ -317,29 +330,47 @@ def search_handles(
"--json",
]
try:
result = subproc.run_with_timeout(cmd, timeout=15, env=_subprocess_env())
except subproc.SubprocTimeout:
_log(f"Handle search timed out for @{handle}")
return []
except OSError as e:
_log(f"Handle search error for @{handle}: {e}")
return []
if result.returncode != 0:
_log(f"Handle search failed for @{handle}: {result.stderr.strip()}")
return []
output = result.stdout.strip()
if not output:
return []
preexec = os.setsid if hasattr(os, 'setsid') else None
try:
proc = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
encoding="utf-8",
errors="replace",
preexec_fn=preexec,
env=_subprocess_env(),
)
try:
stdout, stderr = proc.communicate(timeout=15)
except subprocess.TimeoutExpired:
try:
os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
except (ProcessLookupError, PermissionError, OSError):
proc.kill()
proc.wait(timeout=5)
_log(f"Handle search timed out for @{handle}")
return []
if proc.returncode != 0:
_log(f"Handle search failed for @{handle}: {(stderr or '').strip()}")
return []
output = (stdout or "").strip()
if not output:
return []
response = json.loads(output)
return parse_bird_response(response, query=core_topic)
except json.JSONDecodeError:
_log(f"Invalid JSON from handle search for @{handle}")
return []
return parse_bird_response(response, query=core_topic)
except (OSError, subprocess.SubprocessError) as e:
_log(f"Handle search error for @{handle}: {e}")
return []
from concurrent.futures import ThreadPoolExecutor, as_completed
@@ -39,14 +39,11 @@ def normalize_text(text: str) -> str:
return re.sub(r"\s+", " ", text).strip()
def _ngrams_of_normalized(norm: str, n: int = 3) -> set[str]:
if len(norm) < n:
return {norm} if norm else set()
return {norm[index:index + n] for index in range(len(norm) - n + 1)}
def get_ngrams(text: str, n: int = 3) -> set[str]:
return _ngrams_of_normalized(normalize_text(text), n)
text = normalize_text(text)
if len(text) < n:
return {text} if text else set()
return {text[index:index + n] for index in range(len(text) - n + 1)}
def jaccard_similarity(left: set[str], right: set[str]) -> float:
@@ -93,7 +90,7 @@ class _PreparedText:
def __init__(self, raw: str) -> None:
norm = normalize_text(raw)
self.ngrams = _ngrams_of_normalized(norm)
self.ngrams = get_ngrams(norm) if norm else set()
self.tokens = _tokenize(norm)
@@ -372,6 +372,14 @@ def config_exists() -> bool:
return False
def is_reddit_available(config: dict[str, Any]) -> bool:
"""Check if Reddit search is available.
v3 uses ScrapeCreators only.
"""
return bool(config.get('SCRAPECREATORS_API_KEY'))
def get_reddit_source(config: dict[str, Any]) -> str | None:
"""Determine which Reddit backend to use.
@@ -116,8 +116,6 @@ def weighted_rrf(
"""Fuse ranked lists into a single candidate pool."""
subqueries = {subquery.label: subquery for subquery in plan.subqueries}
candidates: dict[str, schema.Candidate] = {}
# Track (source, item_id) pairs already attached to each candidate for O(1) dedup.
seen_source_items: dict[str, set[tuple[str, str]]] = {}
for (label, source), items in streams.items():
subquery = subqueries[label]
@@ -156,7 +154,6 @@ def weighted_rrf(
]
},
)
seen_source_items[key] = {(item.source, item.item_id)}
continue
candidate = candidates[key]
@@ -182,9 +179,7 @@ def weighted_rrf(
candidate.subquery_labels.append(label)
if item.source not in candidate.sources:
candidate.sources.append(item.source)
source_item_key = (item.source, item.item_id)
if source_item_key not in seen_source_items[key]:
seen_source_items[key].add(source_item_key)
if not any(existing.source == item.source and existing.item_id == item.item_id for existing in candidate.source_items):
candidate.source_items.append(item)
candidate.metadata.setdefault("provenance", []).append(
{
@@ -12,6 +12,11 @@ import sys
from datetime import datetime
from typing import Any, Dict, List, Optional, Set
try:
import requests as _requests
except ImportError:
_requests = None
from . import dates, http, log
SCRAPECREATORS_BASE = "https://api.scrapecreators.com"
@@ -231,17 +236,30 @@ def _user_reels(
"""
_log(f"User reels: @{handle}")
reels_url = f"{SCRAPECREATORS_BASE}/v1/instagram/user/reels"
try:
data = http.get(
reels_url,
params={"handle": handle},
headers=http.scrapecreators_headers(token),
timeout=30,
retries=2,
)
except Exception as e:
_log(f"User reels error for @{handle}: {e}")
return []
if not _requests:
try:
from urllib.parse import urlencode
params = urlencode({"handle": handle})
url = f"{reels_url}?{params}"
headers = http.scrapecreators_headers(token)
headers["User-Agent"] = http.USER_AGENT
data = http.get(url, headers=headers, timeout=30, retries=2)
except Exception as e:
_log(f"User reels error (urllib) for @{handle}: {e}")
return []
else:
try:
resp = _requests.get(
reels_url,
params={"handle": handle},
headers=http.scrapecreators_headers(token),
timeout=30,
)
resp.raise_for_status()
data = resp.json()
except Exception as e:
_log(f"User reels error for @{handle}: {e}")
return []
raw_items = data.get("items") or data.get("reels") or data.get("data") or []
_log(f" -> {len(raw_items)} reels from @{handle}")
@@ -275,17 +293,31 @@ def search_instagram(
_log(f"Searching Instagram for '{core_topic}' (depth={depth}, count={config['results_per_page']})")
try:
data = http.get(
f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search",
params={"query": core_topic},
headers=http.scrapecreators_headers(token),
timeout=30,
retries=2,
)
except Exception as e:
_log(f"ScrapeCreators error: {e}")
return {"items": [], "error": f"{type(e).__name__}: {e}"}
if not _requests:
_log("requests library not installed, falling back to urllib")
try:
from urllib.parse import urlencode
params = urlencode({"query": core_topic})
url = f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search?{params}"
headers = http.scrapecreators_headers(token)
headers["User-Agent"] = http.USER_AGENT
data = http.get(url, headers=headers, timeout=30, retries=2)
except Exception as e:
_log(f"ScrapeCreators error (urllib): {e}")
return {"items": [], "error": f"{type(e).__name__}: {e}"}
else:
try:
resp = _requests.get(
f"{SCRAPECREATORS_BASE}/v2/instagram/reels/search",
params={"query": core_topic},
headers=http.scrapecreators_headers(token),
timeout=30,
)
resp.raise_for_status()
data = resp.json()
except Exception as e:
_log(f"ScrapeCreators error: {e}")
return {"items": [], "error": f"{type(e).__name__}: {e}"}
# Items are in the 'reels' array (ScrapeCreators v2 response)
raw_items = data.get("reels") or data.get("items") or data.get("data") or []
@@ -335,7 +367,7 @@ def fetch_captions(
config = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
max_captions = config["max_captions"]
if not video_items or not token:
if not video_items or not token or not _requests:
return {}
top_items = video_items[:max_captions]
@@ -360,24 +392,26 @@ def fetch_captions(
if not url:
continue
try:
data = http.get(
resp = _requests.get(
f"{SCRAPECREATORS_BASE}/v2/instagram/media/transcript",
params={"url": url},
headers=http.scrapecreators_headers(token),
timeout=15,
retries=1,
)
transcripts = data.get("transcripts") or []
if transcripts and isinstance(transcripts, list):
transcript_text = " ".join(
t.get("text", "") for t in transcripts
if isinstance(t, dict) and t.get("text")
)
if transcript_text:
words = transcript_text.split()
if len(words) > CAPTION_MAX_WORDS:
transcript_text = ' '.join(words[:CAPTION_MAX_WORDS]) + '...'
captions[vid] = transcript_text
if resp.status_code == 200:
data = resp.json()
transcripts = data.get("transcripts") or []
if transcripts and isinstance(transcripts, list):
# Combine all transcript segments
transcript_text = " ".join(
t.get("text", "") for t in transcripts
if isinstance(t, dict) and t.get("text")
)
if transcript_text:
words = transcript_text.split()
if len(words) > CAPTION_MAX_WORDS:
transcript_text = ' '.join(words[:CAPTION_MAX_WORDS]) + '...'
captions[vid] = transcript_text
except Exception as e:
_log(f"Transcript fetch failed for {vid}: {e}")
@@ -49,7 +49,6 @@ def normalize_source_items(
"xquik": _normalize_x,
"pinterest": _normalize_pinterest,
"polymarket": _normalize_polymarket,
"digg": _normalize_digg,
"grounding": _normalize_grounding,
"xiaohongshu": _normalize_grounding,
"github": _normalize_github,
@@ -111,19 +110,6 @@ def _first_present(d: dict[str, Any], keys: tuple[str, ...], default: Any) -> An
return default
def _join_comment_excerpts(
top_comments: list[Any],
key: str,
limit: int = 3,
) -> str:
"""Space-join the `key` field from the first `limit` dict-shaped comments."""
return " ".join(
str(comment.get(key) or "").strip()
for comment in top_comments[:limit]
if isinstance(comment, dict)
)
def _domain_from_url(url: str) -> str | None:
if not url:
return None
@@ -183,7 +169,11 @@ def _normalize_reddit(
to_date: str,
) -> schema.SourceItem:
top_comments = item.get("top_comments") or []
comment_text = _join_comment_excerpts(top_comments, "excerpt")
comment_text = " ".join(
str(comment.get("excerpt") or "").strip()
for comment in top_comments[:3]
if isinstance(comment, dict)
)
body = "\n".join(
part
for part in [
@@ -348,7 +338,11 @@ def _normalize_hackernews(
to_date: str,
) -> schema.SourceItem:
top_comments = item.get("top_comments") or []
comment_text = _join_comment_excerpts(top_comments, "text")
comment_text = " ".join(
str(comment.get("text") or "").strip()
for comment in top_comments[:3]
if isinstance(comment, dict)
)
title = str(item.get("title") or "").strip()
body = "\n".join(part for part in [title, str(item.get("text") or "").strip(), comment_text] if part)
return _source_item(
@@ -400,53 +394,6 @@ def _normalize_microblog(
)
def _normalize_digg(
source: str,
item: dict[str, Any],
index: int,
from_date: str,
to_date: str,
) -> schema.SourceItem:
"""Normalizer for Digg AI 1000 clusters.
Each cluster is one item. The TLDR carries the most useful body for
rerank and synthesis. Top-ranked X posts attached at search time are
passed through under metadata['posts'] so render can emit them as
inline 'via Digg' quotes.
"""
title = str(item.get("title") or "").strip()
tldr = str(item.get("tldr") or "").strip()
body = "\n\n".join(part for part in [title, tldr] if part)
posts = item.get("posts") or []
if not isinstance(posts, list):
posts = []
cluster_url_id = str(item.get("id") or f"DG{index + 1}")
return _source_item(
item_id=cluster_url_id,
source=source,
title=title or f"Digg cluster {index + 1}",
body=body,
url=str(item.get("url") or f"https://di.gg/ai/{cluster_url_id}"),
author="",
container="Digg",
published_at=item.get("date"),
date_confidence=_date_confidence(item, from_date, to_date, default="high"),
engagement=item.get("engagement") or {},
relevance_hint=item.get("relevance", 0.5),
why_relevant=str(item.get("why_relevant") or ""),
snippet=tldr[:400],
metadata={
"clusterUrlId": cluster_url_id,
"tldr": tldr,
"rank": (item.get("engagement") or {}).get("rank"),
"uniqueAuthors": (item.get("engagement") or {}).get("uniqueAuthors"),
"postCount": (item.get("engagement") or {}).get("postCount"),
"firstPostAge": item.get("first_post_age"),
"posts": posts,
},
)
def _normalize_polymarket(
source: str,
item: dict[str, Any],
@@ -494,7 +441,11 @@ def _normalize_github(
title = str(item.get("title") or "").strip()
snippet_text = str(item.get("snippet") or "").strip()
top_comments = item.get("metadata", {}).get("top_comments") or []
comment_text = _join_comment_excerpts(top_comments, "excerpt")
comment_text = " ".join(
str(comment.get("excerpt") or "").strip()
for comment in top_comments[:3]
if isinstance(comment, dict)
)
body = "\n".join(part for part in [title, snippet_text, comment_text] if part)
metadata = item.get("metadata") or {}
return _source_item(
@@ -11,6 +11,11 @@ import re
import sys
from typing import Any, Dict, List, Optional, Set
try:
import requests as _requests
except ImportError:
_requests = None
from . import dates, http, log
SCRAPECREATORS_BASE = "https://api.scrapecreators.com/v1/pinterest"
@@ -135,17 +140,31 @@ def search_pinterest(
_log(f"Searching Pinterest for '{core_topic}' (depth={depth}, count={config['results_per_page']})")
try:
data = http.get(
f"{SCRAPECREATORS_BASE}/search",
params={"keyword": core_topic},
headers=http.scrapecreators_headers(token),
timeout=30,
retries=2,
)
except Exception as e:
_log(f"ScrapeCreators error: {e}")
return {"items": [], "error": f"{type(e).__name__}: {e}"}
if not _requests:
_log("requests library not installed, falling back to urllib")
try:
from urllib.parse import urlencode
params = urlencode({"keyword": core_topic})
url = f"{SCRAPECREATORS_BASE}/search?{params}"
headers = http.scrapecreators_headers(token)
headers["User-Agent"] = http.USER_AGENT
data = http.get(url, headers=headers, timeout=30, retries=2)
except Exception as e:
_log(f"ScrapeCreators error (urllib): {e}")
return {"items": [], "error": f"{type(e).__name__}: {e}"}
else:
try:
resp = _requests.get(
f"{SCRAPECREATORS_BASE}/search",
params={"keyword": core_topic},
headers=http.scrapecreators_headers(token),
timeout=30,
)
resp.raise_for_status()
data = resp.json()
except Exception as e:
_log(f"ScrapeCreators error: {e}")
return {"items": [], "error": f"{type(e).__name__}: {e}"}
# Extract items from response - try common SC response shapes
raw_items = data.get("pins") or data.get("results") or data.get("data") or data.get("items") or []
@@ -15,7 +15,6 @@ from . import (
bluesky,
dates,
dedupe,
digg,
entity_extract,
env,
github,
@@ -31,7 +30,6 @@ from . import (
query,
reddit,
reddit_public,
relevance,
rerank,
schema,
signals,
@@ -80,7 +78,6 @@ MOCK_AVAILABLE_SOURCES = [
"github",
"perplexity",
"xquik",
"digg",
]
@@ -108,8 +105,6 @@ def available_sources(config: dict[str, Any], requested_sources: list[str] | Non
available.extend(["hackernews", "polymarket"])
if config.get("GITHUB_TOKEN") or which("gh"):
available.append("github")
if which("digg-pp-cli"):
available.append("digg")
if env.is_bluesky_available(config):
available.append("bluesky")
if env.is_truthsocial_available(config):
@@ -505,12 +500,11 @@ def _normalize_score_dedupe(
source, raw_items, from_date, to_date,
freshness_mode=freshness_mode,
)
prepared_query = relevance.PreparedQuery(ranking_query)
normalized = signals.annotate_stream(normalized, prepared_query, freshness_mode)
normalized = signals.annotate_stream(normalized, ranking_query, freshness_mode)
normalized = signals.prune_low_relevance(normalized)
normalized = dedupe.dedupe_items(normalized)
for item in normalized:
item.snippet = snippet.extract_best_snippet(item, prepared_query)
item.snippet = snippet.extract_best_snippet(item, ranking_query)
return normalized
@@ -535,12 +529,6 @@ def _finalize_items_by_source(
keywords = config.get("_polymarket_keywords") if isinstance(config, dict) else None
if keywords:
items = polymarket.filter_items_against_keywords(items, keywords)
if source == "digg" and items:
# Pull top-ranked X posts only for the survivors that will appear
# in the brief. Spending the enrichment budget here (rather than
# at retrieval time) keeps the inline 'via Digg' quotes
# paired with the clusters dedupe actually kept.
digg.enrich_source_items(items, top_k=3)
finalized[source] = items
return finalized
@@ -976,13 +964,6 @@ def _retrieve_stream(
if source == "hackernews":
result = hackernews.search_hackernews(subquery.search_query, from_date, to_date, depth=depth)
return hackernews.parse_hackernews_response(result, query=subquery.search_query), {}
if source == "digg":
result = digg.search_digg(subquery.search_query, from_date, to_date, depth=depth)
items = digg.parse_digg_response(result, query=subquery.search_query)
# Enrichment with attached X posts is deferred to
# _finalize_items_by_source so it runs on the items that actually
# survive dedupe rather than on top-K of the raw fanout.
return items, {}
if source == "bluesky":
result = bluesky.search_bluesky(subquery.search_query, from_date, to_date, depth=depth, config=config)
return bluesky.parse_bluesky_response(result), {}
@@ -1075,45 +1056,6 @@ def _mock_stream_results(source: str, subquery: schema.SubQuery) -> tuple[list[d
"why_relevant": "Brave web search",
}
],
"digg": [
{
"id": "mock1abc",
"title": f"Digg cluster about {subquery.search_query}",
"url": "https://di.gg/ai/mock1abc",
"tldr": f"Curated cluster summarizing recent {subquery.search_query} discussion across the AI 1000.",
"author": "",
"date": dates.get_date_range(3)[0],
"engagement": {"postCount": 8, "uniqueAuthors": 5, "rank": 2, "rank_score": 49.0},
"first_post_age": "3d",
"posts": [
{
"username": "exampledev",
"display_name": "Example Dev",
"category": "Engineer",
"rank": 142,
"body": f"Quote from the AI 1000 about {subquery.search_query}.",
"post_type": "tweet",
"x_url": "https://x.com/exampledev/status/1",
"posted_at": dates.get_date_range(3)[0],
},
],
"relevance": 0.84,
"why_relevant": "Mock Digg cluster",
},
{
"id": "mock2def",
"title": f"Second Digg cluster on {subquery.search_query}",
"url": "https://di.gg/ai/mock2def",
"tldr": f"Another angle on {subquery.search_query}.",
"author": "",
"date": dates.get_date_range(8)[0],
"engagement": {"postCount": 3, "uniqueAuthors": 2, "rank": 18, "rank_score": 33.0},
"first_post_age": "8d",
"posts": [],
"relevance": 0.71,
"why_relevant": "Mock Digg cluster",
},
],
}
if source == "grounding":
return payloads.get(source, []), {
@@ -67,7 +67,6 @@ SOURCE_CAPABILITIES = {
"bluesky": {"discussion", "social"},
"truthsocial": {"discussion", "social"},
"polymarket": {"market"},
"digg": {"discussion", "social", "link"},
"xiaohongshu": {"video", "video_shortform", "social"},
"github": {"discussion", "link"},
"grounding": {"web", "reference", "link"},
@@ -93,6 +93,13 @@ class GeminiClient(ReasoningClient):
)
return extract_gemini_text(payload)
def ground_search(self, model: str, prompt: str) -> dict[str, Any]:
return self._generate_content(model, prompt, tools=[{"google_search": {}}])
def url_context_json(self, model: str, prompt: str) -> dict[str, Any]:
return self.generate_json(model, prompt, tools=[{"url_context": {}}])
class OpenAIClient(ReasoningClient):
name = "openai"

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