feat(experience): one-liner install/update docs catch up + version-watching skill

The one-liner entry docs were untouched by the backend upgrade — new users
following "帮我安装 Agent Reach" would still get the old world. Now:

- docs/install.md: xiaohongshu section rewritten (desktop OpenCLI with the
  one manual extension click / server xiaohongshu-mcp with QR + 150MB
  first-run warning / legacy xhs-cli kept as fallback); Reddit section says
  plainly there is no zero-config path; optional-channel menu gains OpenCLI;
  upstream table matches the new routing with a doctor --json pointer
- docs/update.md: full rewrite — upgrade-only-what-exists tool refresh
  (incl. npm update for OpenCLI/mcporter, pinned git source for rdt-cli),
  one-time OpenCLI offer for desktops, skill sync now rides doctor's
  auto-sync instead of an inline python blob, WeChat-era content removed
- check-update / watch: "update available" now leads with the one-liner
  (帮我更新 Agent Reach:<update.md>) which updates package + tools + skill;
  bare pip stays as the package-only alternative
- fix: version compare was `!=` — a local build AHEAD of the latest release
  (installed from main during a release window) was told to "update" into a
  downgrade; now semantic tuple compare with fallback (+4 tests)
- skill (zh+en): description gains a NOT-for boundary (fetch-only, no write
  ops, defer to dedicated skills); new standing rule — after substantial
  tasks run check-update and append a one-liner update hint to the wrap-up,
  never interrupting or nagging
- SKILL_en.md restructured to the same three-layer skeleton as the Chinese
  version (124-line body, shared references/) instead of a 263-line
  everything-inline page

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Pnant
2026-06-11 17:14:57 +08:00
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commit fc24fb699b
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@@ -14,6 +14,9 @@ description: >
Zero config for 6 channels. Run `agent-reach doctor --json` to see which
backend serves each platform right now.
NOT for: 写报告/数据分析/翻译等内容加工(本 skill 只负责从互联网获取内容);
发帖/评论/点赞等写操作;已有专门 skill 的平台(先用专门 skill)。
【路由方式】SKILL.md 包含路由表和常用命令,复杂场景需按需阅读对应分类的 references/*.md。
分类:search / social (小红书/推特/B站/V2EX/Reddit) / career(LinkedIn) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客)。
triggers:
@@ -46,6 +49,11 @@ metadata:
2. **声明你在用什么**:开始干活前说一句「使用 agent-reach 的 X 平台 / Y 后端」。
3. **失败按 references 里的重试链处理**,不要瞎猜命令。
4. **全网调研类任务**:组合多平台(Exa 搜索 + Twitter/Reddit 看讨论 + 小红书/B站看中文场景),并行收集再汇总。
5. **替用户盯版本**:完成一次较大的调研/多平台任务后,顺手跑
`agent-reach check-update`(很快,一个 API 调用)。有新版就在收尾汇报里附一句:
「Agent Reach 有新版 vX.Y.Z,复制这句话给我即可更新:帮我更新 Agent Reach
https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md」。
不要中断当前任务去更新,也不要重复提醒同一个版本。
## 路由表
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@@ -13,251 +13,113 @@ description: >
Zero config for 6 channels. Run `agent-reach doctor --json` to see which
backend serves each platform right now.
Triggers: "research", "deep dive", "search twitter", "search xiaohongshu",
"watch this video", "search the web", "look this up", "youtube transcript",
"search reddit", "read this link", "bilibili", "V2EX",
"xiaoyuzhou", "podcast", "xueqiu", "stock quote", "雪球", "股票".
NOT for: writing reports/analysis/translation (this skill only FETCHES
internet content); posting/commenting/liking (write operations); platforms
that already have a dedicated skill installed (prefer that skill).
metadata:
openclaw:
homepage: https://github.com/Panniantong/Agent-Reach
---
# Agent Reach — Usage Guide
# Agent Reach — internet capability router
Upstream tools for 13 platforms. Call them directly.
13 platforms, multiple backends each. **When this skill exists, use it for
these platforms — do not invent your own approach.**
Run `agent-reach doctor` to check which channels are available.
## Standing rules (apply for the whole session)
## ⚠️ Workspace Rules
1. **Health-check before acting**: for multi-backend platforms (XiaoHongShu /
Reddit / Bilibili / Twitter), run `agent-reach doctor --json` first and
pick the command group matching each platform's `active_backend`.
2. **Announce what you use**: say "using agent-reach, platform X via backend Y"
before starting.
3. **On failure, follow the retry chains in references/** — never guess
commands.
4. **For broad research tasks**: combine platforms (Exa for web search +
Twitter/Reddit for discussions + XiaoHongShu/Bilibili for Chinese
perspectives), collect in parallel, then synthesize.
5. **Watch versions for the user**: after finishing a substantial
multi-platform task, run `agent-reach check-update` (fast, one API call).
If a new version exists, append one line to your wrap-up: "Agent Reach
vX.Y.Z is available — paste this to me to update: 帮我更新 Agent Reach
https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md".
Never interrupt the current task to update; never nag about the same version twice.
**Never create files in the agent workspace.** Use `/tmp/` for temporary output and `~/.agent-reach/` for persistent data.
## Routing table
## Web — Any URL
```bash
curl -s "https://r.jina.ai/URL"
```
## Web Search (Exa)
| User intent | Category | Details |
|---------|------|---------|
| Web / code search | search | [references/search.md](references/search.md) |
| XiaoHongShu / Twitter / Bilibili / V2EX / Reddit | social | [references/social.md](references/social.md) |
| Jobs / LinkedIn | career | [references/career.md](references/career.md) |
| GitHub / code | dev | [references/dev.md](references/dev.md) |
| Web pages / articles / RSS | web | [references/web.md](references/web.md) |
| YouTube / Bilibili / podcast transcripts | video | [references/video.md](references/video.md) |
## Zero-config quick commands
```bash
# Exa web search
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
mcporter call 'exa.get_code_context_exa(query: "code question", tokensNum: 3000)'
```
## Twitter/X (twitter-cli)
# Read any web page
curl -s "https://r.jina.ai/URL"
```bash
twitter -c search "query" -n 10 # search (-c = compact JSON, LLM-friendly)
twitter -c tweet URL_OR_ID # read tweet + replies (supports /status/ URLs)
twitter -c article URL_OR_ID # read a Twitter Article
twitter -c user-posts @username -n 20 # user timeline
twitter -c feed -n 20 # home timeline
```
> Binary is `twitter` (`pipx install twitter-cli`, ≥ 0.8.5). The `bird` name in older docs has been retired. If `search` returns 404, run `pipx upgrade twitter-cli`.
## YouTube (yt-dlp)
```bash
yt-dlp --dump-json "URL" # video metadata
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --skip-download -o "/tmp/%(id)s" "URL"
# download subtitles, then read the .vtt file
yt-dlp --dump-json "ytsearch5:query" # search
```
## Bilibili (bili-cli / OpenCLI)
> ⚠️ Do NOT use yt-dlp for bilibili — its risk control 412-blocks yt-dlp in
> every configuration (verified 2026-06). yt-dlp is for YouTube only.
```bash
bili video BVxxx # video detail, no login needed
bili search "query" --type video -n 5 # search
bili hot -n 10 # trending
opencli bilibili subtitle BVxxx # subtitles (desktop Chrome)
```
## Reddit (login required — no zero-config path)
> Anonymous .json endpoints are 403-blocked and official API registration is
> approval-gated (2025-11). Every backend needs a logged-in session.
> Check `agent-reach doctor --json` for the active backend.
```bash
opencli reddit search "query" -f yaml # desktop, browser session
rdt search "query" --limit 10 # legacy/server, cookie login
rdt read POST_ID # post + comments
```
## GitHub (gh CLI)
```bash
# GitHub search
gh search repos "query" --sort stars --limit 10
gh repo view owner/repo
gh search code "query" --language python
gh issue list -R owner/repo --state open
gh issue view 123 -R owner/repo
```
## XiaoHongShu (multi-backend — check doctor for active backend)
# YouTube subtitles (NOTE: never use yt-dlp for Bilibili — see video.md)
yt-dlp --write-sub --skip-download -o "/tmp/%(id)s" "URL"
```bash
# Desktop preferred: OpenCLI (reuses browser session, zero config)
opencli xiaohongshu search "query" -f yaml
opencli xiaohongshu note "NOTE_URL" -f yaml
# Server: xiaohongshu-mcp via mcporter (QR login; always pass --timeout 120000)
mcporter call 'xiaohongshu.search_feeds(keyword: "query")' --timeout 120000
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")' --timeout 120000
# Legacy fallback: xhs-cli (upstream unmaintained since 2026-03)
xhs search "query"
xhs read NOTE_ID_OR_URL
```
> Requires login. Use Cookie-Editor to import cookies.
> **Tip: Clean bloated output.** The XHS API returns large JSON with many unused fields.
> Pipe through the formatter to save context:
> ```bash
> mcporter call 'xiaohongshu.search_feeds(keyword: "query")' | agent-reach format xhs
> ```
> This keeps only: title, content, author, engagement counts, image URLs, and tags.
## Xiaoyuzhou Podcast (groq-whisper + ffmpeg)
```bash
# Transcribe a single podcast episode (outputs text to /tmp/)
~/.agent-reach/tools/xiaoyuzhou/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/EPISODE_ID"
```
> Requires `ffmpeg` and a Groq API key (free).
> Configure the key with `agent-reach configure groq-key YOUR_KEY`.
> On first run, install the tools with `agent-reach install --env=auto`.
> Run `agent-reach doctor` to check status.
> Output Markdown files are saved to `/tmp/` by default.
## LinkedIn (mcporter)
```bash
mcporter call 'linkedin.get_person_profile(linkedin_url: "https://linkedin.com/in/username")'
mcporter call 'linkedin.search_people(keyword: "AI engineer", limit: 10)'
```
Fallback: `curl -s "https://r.jina.ai/https://linkedin.com/in/username"`
## V2EX (public API)
```bash
# Hot topics
# V2EX hot topics
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"
# Topics in a node (node_name examples: python, tech, jobs, qna)
curl -s "https://www.v2ex.com/api/topics/show.json?node_name=python&page=1" -H "User-Agent: agent-reach/1.0"
# Topic details (extract topic_id from URLs like https://www.v2ex.com/t/1234567)
curl -s "https://www.v2ex.com/api/topics/show.json?id=TOPIC_ID" -H "User-Agent: agent-reach/1.0"
# Topic replies
curl -s "https://www.v2ex.com/api/replies/show.json?topic_id=TOPIC_ID&page=1" -H "User-Agent: agent-reach/1.0"
# User profile
curl -s "https://www.v2ex.com/api/members/show.json?username=USERNAME" -H "User-Agent: agent-reach/1.0"
# Bilibili search (bili-cli, no login needed)
bili search "query" --type video -n 5
```
Python example (`V2EXChannel`):
## Login-backed platforms (pick by doctor's active_backend)
```python
from agent_reach.channels.v2ex import V2EXChannel
```bash
# Twitter search (twitter-cli preferred; retry chain in social.md)
twitter search "query" -n 10
ch = V2EXChannel()
# Reddit (NO zero-config path — OpenCLI or rdt-cli, login required)
opencli reddit search "query" -f yaml # desktop
rdt search "query" --limit 10 # legacy/server
# Get hot topics (default 20 items)
# Returned fields: id, title, url, replies, node_name, node_title, content(first 200 chars), created
topics = ch.get_hot_topics(limit=10)
for t in topics:
print(f"[{t['node_title']}] {t['title']} ({t['replies']} replies) {t['url']}")
print(f" id={t['id']} created={t['created']}")
# Get latest topics for a specific node
# Returned fields: id, title, url, replies, node_name, node_title, content(first 200 chars), created
node_topics = ch.get_node_topics("python", limit=5)
for t in node_topics:
print(t["id"], t["title"], t["url"])
# Get one topic plus replies
# Returned fields: id, title, url, content, replies_count, node_name, node_title,
# author, created, replies (list of {author, content, created})
topic = ch.get_topic(1234567)
print(topic["title"], "", topic["author"])
for r in topic["replies"]:
print(f" {r['author']}: {r['content'][:80]}")
# Get user info
# Returned fields: id, username, url, website, twitter, psn, github, btc, location, bio, avatar, created
user = ch.get_user("Livid")
print(user["username"], user["bio"], user["github"])
# Search (not supported by the public V2EX API; returns guidance instead)
result = ch.search("asyncio")
print(result[0]["error"]) # Use built-in site search or the Exa channel instead
# XiaoHongShu (desktop prefers OpenCLI)
opencli xiaohongshu search "query" -f yaml
```
> No auth required. Results are public JSON. V2EX node names are listed at https://www.v2ex.com/planes
## Environment check
## Xueqiu (public API)
```python
from agent_reach.channels.xueqiu import XueqiuChannel
ch = XueqiuChannel()
# Get stock quotes (symbol examples: SH600519 mainland China, SZ000858 Shenzhen, AAPL US, 00700 HK)
# Returned fields: symbol, name, current, percent, chg, high, low, open, last_close,
# volume, amount, market_capital, turnover_rate, pe_ttm, timestamp
quote = ch.get_stock_quote("AAPL")
print(f"{quote['name']} ({quote['symbol']}): {quote['current']} ({quote['percent']}%)")
# Search stocks
# Returned fields: symbol, name, exchange
stocks = ch.search_stock("Apple", limit=5)
for s in stocks:
print(f"{s['name']} ({s['symbol']}) - {s['exchange']}")
# Hot posts
# Returned fields: id, title, text(first 200 chars), author, likes, url
posts = ch.get_hot_posts(limit=10)
for p in posts:
print(f"{p['author']}: {p['text'][:50]}... ({p['likes']} likes)")
# Hot stocks (stock_type=10 popularity ranking, stock_type=12 watchlist ranking)
# Returned fields: symbol, name, current, percent, rank
hot = ch.get_hot_stocks(limit=10, stock_type=10)
for s in hot:
print(f"#{s['rank']} {s['name']} ({s['symbol']}): {s['current']} ({s['percent']}%)")
```bash
# Channel availability + which backend serves each platform
agent-reach doctor --json
```
> No login required. Agent Reach auto-fetches session cookies, and all public APIs can be used directly.
## Workspace rules
## RSS (feedparser)
**Never create files in the agent workspace.** Use `/tmp/` for temporary
output and `~/.agent-reach/` for persistent data.
```python
python3 -c "
import feedparser
for e in feedparser.parse('FEED_URL').entries[:5]:
print(f'{e.title}{e.link}')
"
```
## Detailed references
## Troubleshooting
Read the matching file when you need specifics (commands above cover the
common cases; references hold per-backend command groups, caveats, retry
chains — note: reference docs are written in Chinese, commands are universal):
- **Channel not working?** Run `agent-reach doctor` — it shows status and fix instructions.
- **Twitter fetch failed?** Ensure `undici` is installed: `npm install -g undici`. Configure a proxy if needed: `agent-reach configure proxy URL`.
- [Search](references/search.md) — Exa AI search
- [Social](references/social.md) — XiaoHongShu, Twitter, Bilibili, V2EX, Reddit (multi-backend groups)
- [Career](references/career.md) — LinkedIn
- [Dev](references/dev.md) — GitHub CLI
- [Web](references/web.md) — Jina Reader, RSS
- [Video](references/video.md) — YouTube, Bilibili, Xiaoyuzhou
## Setting Up a Channel ("help me configure XXX")
## Configure a channel
If a channel needs setup (cookies, Docker, etc.), fetch the install guide:
If a channel needs setup, fetch the install guide:
https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
The user only provides cookies. Everything else is your job.
The user only provides cookies / one extension click; the agent does the rest.