Files
market/skills/web-access/SKILL.md
Yige 1f7c8b9673 feat: skills i18n 改造(schemaVersion 1.1,零向后兼容) (#1)
* feat: skills i18n 改造 — schemaVersion 1.1,零向后兼容

把 21 个 skills + 1 个 agent + manifest/categories 全量迁移到 schemaVersion 1.1
的 i18n 结构,配套 CI AI 翻译流水线(GitHub Models)与本地工具链。

## 关键变更

### 数据结构(破坏性,schemaVersion 1.0 → 1.1)
- SKILL.md: 顶层 name 改为 ASCII slug(== 目录名,符合 agentskills.io 规范);
  中文显示名/short_desc/description 全部迁入 metadata.i18n.<locale>
- agents/<id>/agent.json: shortDesc/fullDesc/tags/persona.{role,traits} 迁入
  i18n.<locale>;changelog[].changes 改为 { <locale>: string[] } 对象
- categories.json: 每个分类的 label/description 迁入 i18n.<locale>,顶层只剩
  color/icon
- manifest.json: 加 supportedLocales / defaultLocale;顶层 description 迁入
  i18n.<locale>

### Body 文件结构
- 根 SKILL.md = frontmatter + default_locale (en-US) body
- SKILL.<locale>.md = 各 locale 的 markdown body(首行 <!-- locale: xx --> 自校验)

### 工具链(scripts/i18n/)
- glossary.json: zh→en 术语表 + do_not_translate 白名单
- schema/skill-frontmatter.schema.json: i18n frontmatter JSON Schema
- validate-i18n.py: 8 条校验规则(name 合规 / locale 完整性 / hash 一致性等)
- translate.py: GitHub Models / Anthropic 双 backend,sha256 增量翻译
- migrate.py: 一次性迁移脚本(旧格式 → i18n 结构)

### CI(.github/workflows/)
- i18n-validate.yml: PR 触发跑 validate + translate --check
- i18n-translate.yml: PR 触发用 GitHub Models(默认 openai/gpt-5-mini)翻译缺失
  locale,自动追加 commit;可切到 ANTHROPIC_API_KEY 走 Claude

### 文档
- docs/I18N.md: 作者贡献指南(schema 说明 / 提交流程 / 常见问题)
- README.md: 加多语言段落

## 验证

- uv run scripts/i18n/validate-i18n.py: OK,49 文件 0 错误
- uv run scripts/i18n/translate.py --check: 0 stale locale
- 21 skills 标题数 zh-CN == en-US 严格对齐(最大 66=66)
- skills-ref 规范校验:全部通过(顶层 name ASCII slug + description 单字段)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(i18n): 修复 PR #1 review 反馈的 6 项问题

- schema: translated_by 正则放宽为 ^(human|ai:[A-Za-z0-9._:/-]+)$,接受
  'ai:github:openai/gpt-5-mini' 这类 backend:model 形式(CI 翻译输出格式)
- README + docs/I18N.md: 修正"CI 用 Claude API"误导描述,正确说明默认是
  GitHub Models(openai/gpt-5-mini)+ GITHUB_TOKEN,可选切到 Anthropic
- skills/minimax-tts/SKILL.md & SKILL.zh-CN.md: 删除多余的 ``` 闭合,避免
  Markdown 后续渲染错乱
- skills/docx/SKILL.md: 翻译时丢失的 • Unicode escape 示例已恢复,
  与 zh-CN 版本对齐

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-05 00:26:33 +08:00

15 KiB
Raw Blame History

name, description, license, version, type, risk_level, status, disable-model-invocation, tags, metadata, market
name description license version type risk_level status disable-model-invocation tags metadata market
web-access Use this skill whenever the user needs to access information from the internet — searching for current information, fetching public web pages, browsing login-gated sites (微博/小红书/B站/飞书/Twitter), comparing products, researching topics, gathering documentation, or summarizing news. This skill orchestrates three complementary layers: (1) WebSearch + WebFetch for public pages, (2) Jina Reader as the default token-optimization layer for heavy/JS-rendered pages, and (3) Chrome DevTools Protocol (CDP) via Python Playwright for login-gated sites that require the user's existing browser session. Always cite source URLs. Use when 用户提到 联网搜索、上网查、 查资料、抓取网页、研究、调研、最新资讯、文档查询、对比、竞品、技术文档、 新闻、网址、URL、找一下、搜一下、查一下、小红书、B站、微博、飞书、Twitter、 推特、X、知乎、公众号、已登录、登录状态。 Complete terms in LICENSE.txt 1.1.2 procedural low enabled true
web
search
fetch
research
browsing
cdp
playwright
author updated_at i18n
desirecore 2026-05-03
default_locale source_locale locales zh-CN en-US
en-US zh-CN
zh-CN
en-US
name short_desc description body source_hash translated_by
联网访问 联网搜索、网页抓取、登录态浏览器访问CDP、研究调研工作流 三层联网访问工具包——搜索公开页面、Jina 优化抓取、CDP 登录态浏览器访问。 ./SKILL.zh-CN.md sha256:0ba170b3126a0823 human
name short_desc description body source_hash translated_by translated_at
Web Access Web search, page fetching, logged-in browser access via CDP, research workflows A three-layer web-access toolkit — search public pages, fetch heavy pages via Jina Reader, and reach logged-in sites via Chrome CDP. ./SKILL.md sha256:0ba170b3126a0823 ai:claude-opus-4-7 2026-05-03
icon category maintainer channel
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name verified
DesireCore Official true
latest

web-access skill

L0: One-line Summary

A three-layer web-access toolkit — search public pages, optimize fetches via Jina Reader, and reach login-gated sites via Chrome CDP.

L1: Overview & Use Cases

Capability

web-access is a procedural skill that provides three complementary layers of web access: Layer 1 (WebSearch + WebFetch) for public pages; Layer 2 (Jina Reader) for JS-rendered heavy pages, saving tokens by default; Layer 3 (Chrome CDP) for sites requiring a logged-in session (Xiaohongshu / Bilibili / Weibo / Feishu / Twitter).

Use Cases

  • The user needs to search for current information or research a specific topic
  • The user needs to fetch public web content or technical documentation
  • The user needs to access logged-in sites (Xiaohongshu, Bilibili, Weibo, Feishu, Twitter, etc.)
  • The user needs to compare products, aggregate news, or investigate API/library versions

Core Value

  • Three-layer progression: from lightweight search to heavy JS rendering to logged-in access — pick on demand
  • Token optimization: Jina Reader cuts token usage by 5080% by default
  • Logged-in session reuse: connect to the user's already-logged-in Chrome via CDP — no re-login required

L2: Detailed Specification

Output Rule

When you complete a research task, you MUST cite all source URLs in your response. Distinguish between:

  • Quoted facts: directly from a fetched page → cite the URL
  • Inferences: your synthesis or analysis → mark as "(analysis/inference)"

If any fetch fails, explicitly tell the user which URL failed and which fallback you used.


Prerequisites: Chrome CDP Setup (for login-gated sites)

Only required when accessing sites that need the user's login session (Xiaohongshu / Bilibili / Weibo / Feishu / Twitter / Zhihu / WeChat Official Accounts).

One-time setup

Launch a dedicated Chrome instance with remote debugging enabled:

macOS:

/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome \
  --remote-debugging-port=9222 \
  --user-data-dir="$HOME/.desirecore/chrome-profile"

Linux:

google-chrome \
  --remote-debugging-port=9222 \
  --user-data-dir="$HOME/.desirecore/chrome-profile"

Windows (PowerShell):

& "C:\Program Files\Google\Chrome\Application\chrome.exe" `
  --remote-debugging-port=9222 `
  --user-data-dir="$env:USERPROFILE\.desirecore\chrome-profile"

After launch:

  1. Manually log in to the sites you need (Xiaohongshu, Bilibili, Weibo, Feishu, …)
  2. Leave this Chrome window open in the background
  3. Verify the debug endpoint: curl -s http://localhost:9222/json/version should return JSON

Verify CDP is ready

Before any CDP operation, always run:

curl -s http://localhost:9222/json/version | python3 -c "import sys,json; d=json.load(sys.stdin); print('CDP ready:', d.get('Browser'))"

If the command fails, tell the user: "Please launch Chrome with the remote debugging port enabled (see the Prerequisites section of the web-access skill)."


Tool Selection Decision Tree

User intent
  │
  ├─ "Search for information about X" (no specific URL)
  │     └─→ WebSearch → pick top 3-5 results → fetch each (see next branches)
  │
  ├─ "Read this public page" (static HTML, docs, news)
  │     └─→ WebFetch(url) directly
  │
  ├─ "Read this heavy-JS page" (SPA, React/Vue sites, Medium, etc.)
  │     └─→ Bash: curl -sL "https://r.jina.ai/<original-url>"
  │          (Jina Reader = default for JS-rendered content, saves tokens)
  │
  ├─ "Read this login-gated page" (Xiaohongshu/Bilibili/Weibo/Feishu/Twitter/Zhihu/WeChat)
  │     └─→ 1. Verify CDP ready (curl http://localhost:9222/json/version)
  │          2. Bash: python3 script with playwright.connect_over_cdp()
  │          3. Extract content → feed to Jina Reader for clean Markdown
  │             (or use BeautifulSoup directly on the raw HTML)
  │
  ├─ "API documentation / GitHub / npm package info"
  │     └─→ Prefer official API endpoints over scraping HTML:
  │          - GitHub: gh api repos/owner/name
  │          - npm:    curl https://registry.npmjs.org/<pkg>
  │          - PyPI:   curl https://pypi.org/pypi/<pkg>/json
  │
  └─ "Real-time interactive task" (click, fill form, scroll, screenshot)
        └─→ CDP + Playwright (see references/cdp-browser.md)

Three-layer strategy summary

Layer Use case Primary tool Token cost
L1 Public, static WebFetch Low
L2 JS-heavy, long articles, token savings Bash curl r.jina.ai Lowest (Markdown pre-cleaned)
L3 Login-gated, interactive Bash + Python Playwright CDP Medium (raw HTML, then clean via Jina or BS4)

Default priority: L1 for simple public pages → L2 for anything heavy → L3 only when login is required.


Supported Sites Matrix

Site Recommended Layer Notes
Wikipedia, MDN, official docs L1 WebFetch Static, clean HTML
GitHub README, issues, PRs gh api (best) → L1 WebFetch Prefer API
Hacker News, Reddit L1 WebFetch Public content
Medium, Dev.to L2 Jina Reader JS-rendered, member gates
Twitter/X L3 CDP (or L2 Jina with x.com) Login required for full thread
Xiaohongshu (xiaohongshu.com) L3 CDP Login required
Bilibili (bilibili.com) L3 CDP Login needed for video desc/comments
Weibo (weibo.com) L3 CDP Long posts require login
Zhihu (zhihu.com) L3 CDP Long articles + comments require login
Feishu Docs (feishu.cn) L3 CDP Login required
WeChat Official Accounts (mp.weixin.qq.com) L2 Jina Reader Usually public, Jina cleans better
LinkedIn L3 CDP Login wall

Tool Reference

Layer 1: WebSearch + WebFetch

WebSearch — discover URLs for an unknown topic:

WebSearch(query="latest typescript 5.5 features 2026", max_results=5)

Tips:

  • Include the year for time-sensitive topics
  • Use allowed_domains / blocked_domains to constrain

WebFetch — extract clean Markdown from a known URL:

WebFetch(url="https://example.com/article")

Tips:

  • Results cached for 15 min
  • Returns cleaned Markdown with title + URL + body
  • If body < 200 chars or looks garbled → escalate to Layer 2 (Jina) or Layer 3 (CDP)

Layer 2: Jina Reader (default for heavy pages)

Jina Reader (r.jina.ai) is a free public proxy that renders pages server-side and returns clean Markdown. Use it as the default for any page where WebFetch produces garbled or truncated output, and as the preferred extractor for JS-heavy SPAs.

curl -sL "https://r.jina.ai/https://example.com/article"

Why Jina is the default token-saver:

  • Strips nav/footer/ads automatically
  • Handles JS-rendered SPAs
  • Returns 50-80% fewer tokens than raw HTML
  • No API key needed for basic use (~20 req/min)

See references/jina-reader.md for advanced endpoints and rate limits.

Layer 3: CDP Browser (login-gated access)

Use Python Playwright's connect_over_cdp() to attach to the user's running Chrome (which already has login cookies). No re-login needed.

Minimal template:

python3 << 'PY'
from playwright.sync_api import sync_playwright

TARGET_URL = "https://www.xiaohongshu.com/explore/..."

with sync_playwright() as p:
    browser = p.chromium.connect_over_cdp("http://localhost:9222")
    context = browser.contexts[0]  # reuse user's default context (has cookies)
    page = context.new_page()
    page.goto(TARGET_URL, wait_until="domcontentloaded")
    page.wait_for_timeout(2000)  # let lazy content load
    html = page.content()
    page.close()

# Print first 500 chars to verify
print(html[:500])
PY

Extract text via BeautifulSoup (no Jina round-trip):

python3 << 'PY'
from playwright.sync_api import sync_playwright
from bs4 import BeautifulSoup

with sync_playwright() as p:
    browser = p.chromium.connect_over_cdp("http://localhost:9222")
    page = browser.contexts[0].new_page()
    page.goto("https://www.bilibili.com/video/BV...", wait_until="networkidle")
    html = page.content()
    page.close()

soup = BeautifulSoup(html, "html.parser")
title = soup.select_one("h1.video-title")
desc = soup.select_one(".video-desc")
print("Title:", title.get_text(strip=True) if title else "N/A")
print("Desc:",  desc.get_text(strip=True)  if desc  else "N/A")
PY

See references/cdp-browser.md for:

  • Per-site selectors (Xiaohongshu / Bilibili / Weibo / Zhihu / Feishu)
  • Scrolling & lazy-load patterns
  • Screenshot & form-fill recipes
  • Troubleshooting connection issues

Common Workflows

Read references/workflows.md for detailed templates:

  • Tech docs lookup
  • Competitor research
  • News aggregation & timelines
  • API/library version investigation

Read references/cdp-browser.md for login-gated site recipes (Xiaohongshu / Bilibili / Weibo / Zhihu / Feishu).

Read references/jina-reader.md for Jina Reader positioning, rate limits, and advanced endpoints.


Quick Workflow: Multi-Source Research

1. WebSearch(query) → 5 candidate URLs
2. Skim titles + snippets → pick 3 most relevant
3. Classify each URL by layer (L1 / L2 / L3)
4. Fetch all in parallel (single message, multiple tool calls)
5. If any fetch returns < 200 chars or garbled → retry via next layer
6. Synthesize: contradictions? consensus? outliers?
7. Report with inline [source](url) citations + a Sources list at the end

Anti-Patterns (Avoid)

  • Using WebFetch on obviously heavy sites — Medium, Twitter, Xiaohongshu will waste tokens or fail. Jump straight to L2/L3.
  • Launching headless Chrome instead of CDP attach — loses user's login state, triggers anti-bot, slow cold start. Always use connect_over_cdp() to attach to the user's existing session.
  • Fetching one URL at a time when you need 5 — batch in a single message.
  • Trusting a single source — cross-check ≥ 2 sources for non-trivial claims.
  • Fetching the search result page itself — WebSearch already returns snippets; fetch the actual articles.
  • Ignoring the cache — WebFetch caches 15 min, reuse freely.
  • Scraping when an API exists — GitHub, npm, PyPI, Wikipedia all have JSON APIs.
  • Forgetting the year in time-sensitive queries — "best AI models" returns 2023 results; "best AI models 2026" returns current.
  • Hardcoding login credentials in scripts — always rely on the user's pre-logged CDP session.
  • Citing only after the fact — collect URLs as you fetch, not from memory afterwards.

Example Interaction

User: "Grab the contents of this Xiaohongshu note for me: https://www.xiaohongshu.com/explore/abc123"

Agent workflow:

1. Recognize → Xiaohongshu is an L3 logged-in site
2. Check CDP: curl -s http://localhost:9222/json/version
   ├─ Failure → prompt the user to launch Chrome in debug mode, abort
   └─ Success → continue
3. Bash: python3 connect_over_cdp script → page.goto(url) → page.content()
4. BeautifulSoup extract h1 title, .note-content, .comments
5. When returning to the user:
   - Cite the original URL
   - If content is long, run it through Jina to save tokens
6. Tell the user: "Fetched via your logged-in session, original link: [xhs](url)"

Installation Note

CDP features require Python + Playwright installed:

pip3 install playwright beautifulsoup4
python3 -m playwright install chromium  # only needed if user hasn't installed Chrome

If playwright is not installed when the user requests a login-gated site, run the install commands in Bash and explain you're setting up the browser automation dependency.