Commit Graph

12 Commits

Author SHA1 Message Date
Matt Van Horn 80392061d4 chore(release): v3.2.0 (#371)
Release / build-and-release (push) Has been cancelled
* chore(release): v3.2.0

Bumps plugin/marketplace/codex/pyproject versions from 3.1.1 to 3.2.0.
Promotes the Unreleased CHANGELOG entries (--emit=html, Digg AI 1000
source) to the 3.2.0 release section.

* chore(release): bump SKILL.md header and sync.sh path to 3.2.0

---------

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
2026-05-09 19:29:16 -07:00
Matt Van Horn c04bd67922 feat: add Digg AI 1000 as an opt-in source (#370)
* feat(digg): add Digg AI 1000 source module with cluster search and post enrichment

- search_digg shells out to digg-pp-cli with --since 30d --agent
- parse_digg_response normalizes clusters to last30days dict shape
- enrich_with_top_posts attaches top-ranked X posts to top-K clusters
- shutil.which gate plus subproc.run_with_timeout discipline matches
  bird_x.py / youtube_yt.py patterns

25 unit tests cover parse, age window, relevance, binary-missing
fallback, timeout recovery, and partial enrichment failures.

* feat(digg): wire Digg source into pipeline, normalize, signals, and render

pipeline.py:
- Import digg, add to MOCK_AVAILABLE_SOURCES, gate via shutil.which
- Dispatch case calls search_digg + parse_digg_response, runs
  enrich_with_top_posts at default/deep depth
- Mock fixture includes one enriched cluster + one bare cluster

normalize.py:
- _normalize_digg maps cluster dicts to SourceItem with
  container='Digg AI 1000' and metadata.posts pass-through

signals.py:
- SOURCE_QUALITY['digg'] = 0.85 (top tier alongside YouTube,
  reflecting Digg's curatorial layer)
- ENGAGEMENT_WEIGHTS['digg'] balances postCount, uniqueAuthors,
  and the rank_score derived from Digg's curatorial position

render.py:
- SOURCE_LABELS['digg'] = 'Digg AI 1000'
- _FOOTER_SOURCES adds '⛏️ Digg AI 1000' line after GitHub
- ENGAGEMENT_DISPLAY mirrors footer keys
- New _digg_posts_for + _format_digg_quote helpers emit inline
  '@handle via Digg AI 1000' quotes for clusters with attached X
  posts; both compact and full-dump renderers call them

* feat(digg): polish per-item engagement display and progress label

- ENGAGEMENT_DISPLAY for digg uses 'posts' / 'auth' to match the
  codebase abbreviation convention (HN: 'pts'/'cmt', X: 'rt'/'re')
- Footer item word changes from 'story' to 'cluster' to dodge the
  pre-existing naive plural in _footer_line_for_source ('storys')
  and to match Digg's actual data model
- ui.py SOURCE_COMPLETION_META adds digg with correct 'cluster'/
  'clusters' plural so 'Research complete' shows 'Digg: N clusters'

* feat(digg): document Digg AI 1000 source in skill, README, and changelog

- planner.py SOURCE_CAPABILITIES adds digg with discussion/social/link
  capabilities so the planner offers it through the standard fanout
- SKILL.md ACTIVE_SOURCES_LIST gate includes 'which digg-pp-cli' check
  and the source list / available-sources line names digg as opt-in
- README.md Sources table adds the Digg AI 1000 row with the activation
  gate so first-time readers see what they get
- CHANGELOG.md Unreleased section calls out the source addition

* fix(digg): enrich post-dedupe so brief survivors carry inline quotes

Pipeline dispatch was attaching X posts to the top-3 items returned by
search, but dedupe later picked different survivors when multiple
clusters compared similar (common for trending topics). The brief
ended up showing clusters with no posts attached even though
enrichment ran successfully on positions 0-2.

Move enrichment to _finalize_items_by_source. The new
digg.enrich_source_items helper reads metadata['clusterUrlId'] and
writes metadata['posts'] in place on the SourceItems that actually
survive dedupe.

Verified live on 'openclaw': 2 surviving clusters, both now carry
real X-post quotes from @sama and @jeremyphoward attributed
'via Digg AI 1000'.

Adds 3 unit tests covering survivor enrichment, non-digg skip, and
clusterUrlId fallback to item_id.

* test(digg): relax live off-topic test to check shape, not emptiness

Digg's live search uses fuzzy/popularity fallback, so an impossible
token can still return some loosely-related clusters. The contract
the pipeline depends on is shape (results is always a list);
token-overlap relevance handles the noise downstream.

---------

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
2026-05-09 19:05:41 -07:00
Trevin Chow b1773be8f3 feat(emit): --emit=html for shareable self-contained briefs (#332)
Adds a one-command shareable HTML mode to /last30days. The skill detects
HTML intent (explicit --emit=html / --emit:html / --html flag in
$ARGUMENTS, or natural-language asks like "give me a shareable brief",
"for Slack", "export as HTML"), runs the normal research + chat synthesis
flow, then saves a self-contained HTML file to
~/Documents/Last30Days/{topic}-brief.html. The synthesis appears in chat
as usual; the HTML is an additional artifact for sharing.

User experience:

  /last30days OpenClaw --emit=html
  /last30days OpenClaw, give me an HTML brief for Slack

Synthesis prints to chat. Last line of the response: "📎 Shareable brief
saved to ~/Documents/Last30Days/openclaw-brief.html". Open it, drag it
into a message, browser-print to PDF, email it.

Architecture:

  - SKILL.md gets a small detection block (triggers + early exit +
    MUST/MUST NOT rules + rationale) that points to a reference file.
  - references/save-html-brief.md owns the implementation: capture the
    synthesis verbatim into a temp file via heredoc, invoke the engine
    with --emit=html --synthesis-file, save to disk, append the
    confirmation line to chat.
  - lib/render.py exposes render_for_html(report, synthesis_md=None) and
    render_for_html_comparison(...) -- clean markdown for HTML
    conversion. Omits debug file header, model-facing safety note, and
    data quality warnings (those stay in engine stderr; recipients can't
    act on them in a shared artifact).
  - lib/html_render.py is a new module: ~200-line CSS template (dark
    mode default, prefers-color-scheme switch, print stylesheet, mobile
    breakpoint), stdlib-regex markdown-to-HTML converter, marker-based
    META + engine-footer wrapping, PROSE_LABELS registry promoting plain
    -text labels to <h2>, colophon builder.
  - last30days.py adds --emit=html argparse choice and --synthesis-file
    PATH flag (engine still callable directly without the skill in the
    loop).

Design:

  - Voice-led research brief, not corporate report. Inter + JetBrains
    Mono via Google Fonts with full system fallbacks (no FOIT, works
    offline). Brand purple #a855f7 (#7c3aed in light mode). Type ramp:
    body 17px/400/muted, bold lead-in 17px/600/fg, h2 + .prose-label
    20px/600/fg, monospace badge/meta/footer/colophon at 13-13.5px.
  - 720px max-width, generous whitespace, no card layouts or shadows.
  - Print stylesheet: light theme, A4 margins, [href]::after URL
    footnotes, page-break-inside:avoid on the engine footer.

Templated (locked) shell:

  - HTML5 boilerplate, Google Fonts <link> with preconnect, all CSS
    inline.
  - .badge / .meta / .engine-footer / .colophon containers.

Flexible (role-based):

  - <h2> rendering covers BOTH plain ## headers (comparison mode per
    LAW 4 exception) AND promoted prose labels via PROSE_LABELS
    registry. Adding a new SKILL.md prose label is a one-line tuple
    addition; no CSS or template changes.
  - Marker-based engine boundaries (<!-- META: ... -->,
    <!-- PASS-THROUGH FOOTER -->) survive the markdown converter and
    get promoted post-conversion. Robust to engine output format
    changes.
  - Generic markdown-to-HTML for body content; future SKILL.md additions
    (new sections, tables, blockquotes) render correctly without code
    changes.

Tests: 30 new tests in tests/test_html_render.py covering snapshots
(rich/thin/comparison), CLI parsing, --synthesis-file end-to-end, prose
label promotion, warning exclusion from artifact, parseability via
html.parser, no-script self-containment.

No SKILL.md voice contract changes, no LAWs 1-8 changes, no new pip
dependencies, no JavaScript anywhere.
2026-05-02 11:30:22 -07:00
Claire Novotny f03cb866aa fix: address plugin layout review feedback 2026-04-24 11:52:48 -04:00
Claire Novotny 72495c1c14 Restructure as Codex plugin 2026-04-23 20:15:02 -04:00
Matt Van Horn 361e9d6c13 fix: v3.0.8 - SKILL.md was too big and LAWs too deep - move to top + engine emits badge (#279)
Three independent Opus 4.7 self-debugs on 2026-04-18 converged on the same
root cause of the v3.0.6/v3.0.7 canonical-compliance regression: SKILL.md is
42,860 tokens / 1,478 lines, LAWs lived at line 1094+, every realistic reading
strategy failed to reach them before synthesis.

Unit 1 - Moved the BADGE MANDATORY block and VOICE CONTRACT LAW 1-5 (plus
the formatting-authority preface) from line ~1090 to line ~75 (right after
the SKILL CONTRACT preface, before HOW TO INVOKE THIS SKILL). Every reading
strategy now lands the LAWs in active context before synthesis.

Unit 2 - Engine now emits the badge as the first line of --emit=compact
stdout. Passing through the script output becomes the default-correct
behavior; emitting the badge no longer depends on model compliance. Reads
version from .claude-plugin/plugin.json at runtime with graceful fallback.

Unit 3 - Deleted skills/last30days/SKILL.md stub (231-line v3-spec file).
This was the wrong-file-capture hazard Ron Conway's self-debug identified:
model grabbed the first SKILL.md find surfaced and treated it as
authoritative. Only ONE SKILL.md in the plugin package now.

Diagnoses verbatim:
- Kanye thread: "I read lines 1-600 in chunks, jumped to 300-899, then
  stopped. File is 1478 lines. I never saw past ~900."
- Peter thread: "I tried Read once, hit the 25K token cap on a 42,860-token
  file, and bailed instead of chunked-reading with offset/limit. I never
  opened SKILL.md at all."
- Ron Conway thread: "I read one SKILL.md (231 lines)... the v3 spec stub.
  I never opened the operational SKILL.md sitting next to the script."

Validation: direct engine invocation confirms badge at line 1 of compact
output. Module imports clean.

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-18 12:50:10 -07:00
Matt Van Horn 8d8ca68781 chore: bump version to 3.0.1 + changelog entry
Atomic bump across all four manifests:
- SKILL.md (root)
- skills/last30days/SKILL.md (internal spec)
- .claude-plugin/plugin.json
- gemini-extension.json

CHANGELOG entry documents the skill-upload packaging fix, vendor/ removal,
legacy plans/ removal, and the new scripts/build-skill.sh builder.
2026-04-14 12:21:24 -04:00
Matt Van Horn 99b167d03a fix: resolve duplicate skill name causing marketplace validation failure (#204) (#214)
Two SKILL.md files declared `name: last30days` with `user-invocable: true`,
which caused strict marketplace validators to reject the plugin with "Some
plugins in this marketplace have validation errors":

- ./SKILL.md (canonical, also reachable via skills/last30days-nux/ symlink)
- ./skills/last30days/SKILL.md (v3 architecture spec, real file)

In v2.9.6, skills/last30days/SKILL.md was a symlink to ../../SKILL.md so
only one skill existed. Commit 0a9ff16 (v3.0.0) added a new real file at
skills/last30days-v3/SKILL.md, and commit 9be0780 then renamed that
directory to skills/last30days/, replacing the original symlink with a
different real file. The collision has been live since v3.0.0 shipped.

This change:
- Renames skills/last30days/SKILL.md to name: last30days-v3-spec and sets
  user-invocable: false. The file stays in place as internal architecture
  documentation, but it no longer competes with the canonical skill.
- Fixes README.md link that pointed to the deleted skills/last30days-v3/
  path (left over from the rename).
- Removes a stale variants/open/SKILL.md reference (variants/open was
  deleted in v3.0.0).

After the change, only one canonical name=last30days user-invocable=true
skill exists (the root SKILL.md, also reachable via the
skills/last30days-nux/ symlink, same inode).

Closes #204.

This contribution was developed with AI assistance (Codex).

Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
2026-04-11 02:36:55 -04:00
Pejman Pour-Moezzi bb7c956db5 fix: drop stale last30days-v3 argument hint 2026-04-09 21:37:36 -07:00
Pejman Pour-Moezzi 9be0780c46 fix: rename skills/last30days-v3 directory so plugin install resolves correctly 2026-04-09 21:37:00 -07:00
Matt Van Horn 0a9ff16dfc feat: v3.0.0 - intelligent search, GitHub person/project mode, ELI5, 13+ sources
v3 rewrites the search engine from the ground up:

- Intelligent pre-research: resolves X handles, GitHub repos, subreddits,
  TikTok hashtags, and YouTube channels before searching
- GitHub person-mode: PR velocity, top repos by stars, release notes
- GitHub project-mode: live star counts, README, releases, top issues
- ELI5 mode: plain language synthesis, no jargon
- 13+ sources: Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket,
  GitHub, Threads, Pinterest, Perplexity, Bluesky, Web
- Free Reddit comments via public JSON (no API key needed)
- Fun judge v2: humor scoring baked into narrative
- Cookie consent before browser scanning
- 10,000 free ScrapeCreators calls
- 1,012 tests

Thank you to the community contributors whose issues and PRs shaped v3:
@uppinote20 (#143), @zerone0x (#134, #136), @thinkun (#116),
@thomasmktong (#124), @fanispoulinakisai-boop (#100), @pejmanjohn (#78),
@zl190 (#115), @hnshah (#84, #85, #86)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-08 10:52:23 -07:00
Matt Van Horn 2f16ff1ee8 feat(gemini): add Gemini CLI extension support
Add gemini-extension.json manifest with correct array-format settings,
symlink skills/last30days/SKILL.md to root SKILL.md for Gemini skill
discovery, add Gemini install paths to bash for-loop in both main and
open variant, and add Gemini CLI install instructions to README.

Incorporates the good parts of PR #53 (manifest, paths, README) while
avoiding duplicate SKILL.md, tool name scattering, and allowed-tools
pollution that would have created maintenance issues.

Closes #45

Co-Authored-By: Alex Ferrari <alex@thealexferrari.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 12:07:55 -07:00