Files
market/skills/web-access/SKILL.zh-CN.md
Yige af4176bbd7 feat(web-access): 迁移到内置受管浏览器工具(v2.1.0) (#72)
## 变更说明 / Description

### 中文

客户端 v10.0.98(desirecore/desirecore#1596)停用了旧的 `BrowserListTabs` /
`BrowserNavigate` / `BrowserEval` / `BrowserClick` / `BrowserScreenshot`
/ `BrowserScroll` / `BrowserSetFiles` / `BrowserCloseTab` 及其 cdp-proxy
后端,调用会直接返回「该旧 BrowserXxx/cdp-proxy 入口已停用」。而 web-access v2.0.2 的
`provides.tools` 仍声明这批工具——技能激活后注入的是一组必然失败的工具。

本次把 `provides.tools` 换成统一浏览器工具,并同步正文与参考文档:

- `provides.tools`:`BrowserManage` / `BrowserSnapshot` / `BrowserAct` /
`BrowserImport` / `BrowserShare` + 保留 `SitePatternRead` /
`SitePatternWrite` / `LocalBookmarks`
- 中英文 SKILL 正文同步改写(L0 / 能力描述 / 决策树 / 四层策略表 / L3-fast 速查 / 反模式)
- `references/browser-tools.md` 整篇重写为新 API + 实测边界
- 5 份站点经验(小红书 / B站 / 微博 / 知乎 / 飞书)的流程改用新工具
- 版本 2.0.2 → 2.1.0,`updated_at` 更新,i18n `source_hash` 重算

**L3-fast 的定位相应收窄**:内置浏览器负责「到达 + 交互 + 截图 + 隔离」,抽取长正文仍回落 Jina
Reader(公开页)或 Playwright(登录态)——理由见下方实测。

### English

Client v10.0.98 retired the legacy `BrowserXxx` tools and the cdp-proxy
behind them, so web-access v2.0.2 was injecting a set of tools that
always fail. This PR migrates `provides.tools` to the unified browser
tools and rewrites the body, the browser-tools reference, and the five
site-pattern playbooks accordingly. L3-fast is re-scoped to
navigation/interaction/screenshots; bulk text extraction still falls
back to Jina Reader or Playwright.

## 测试方式 / Test Plan

在客户端 v10.0.98 + `electron-embedded` Provider 上实测:

- [x] `provides.tools` 里 8 个工具 ID 全部在 builtin registry 中存在
- [x] 把本 PR 的技能装进 dev 实例,带 `skillIds:['web-access']` 驱动智能体:真实调用
`BrowserManage(create_space)` → `BrowserManage(start_session)` →
`BrowserAct(tab.navigate)` → `BrowserManage(close_session)`,全部 success
- [x] `scripts/i18n/validate-i18n.py` 全仓库通过(中英文标题数一致、source_hash 一致)

文档中记录的边界均来自实测,而非推测:

| 边界 | 实测现象 |
|------|---------|
| 截图前必须 `tab.activate` | 标签页默认停在 `(-10000,-10000,1x1)`,直接截图卡满 30s
deadline 并触发 `browser.host.gone`,之后全部 `BROWSER_TAB_HOST_NOT_FOUND` |
| `page.evaluate` 不是取文通道 | 每次调用需人工审批;字符串/对象返回值被替换为
`[REDACTED:browser-runtime-value]`,仅 number/boolean/null 穿透 |
| `accessibility` 快照真实页面不可用 | example.com 正常返回 StaticText;维基百科条目一律
`BROWSER_RESULT_TOO_LARGE`(2 MB 上限,且 `depth` 参数被宿主忽略) |
| `semantic` 快照不含正文 | 只列 button / input / a 等可交互元素 |

## 风险与回滚 / Risk and rollback

- 纯技能内容变更,无脚本或清单结构改动
- 需要客户端 v10.0.98+;旧客户端装到本版会拿到一组不存在的工具名(旧客户端上原本那批工具也已失效,不构成回退)
- 回滚即 revert 本 PR
2026-08-07 23:53:28 +08:00

19 KiB
Raw Blame History

web-access 技能

L0一句话摘要

四层联网访问工具包——搜索公开页面、Jina 优化抓取、内置受管浏览器登录态访问v2.1、Python Playwright CDP 兜底。

L1概述与使用场景

能力描述

web-access 是一个流程型技能Procedural Skill,提供四层互补的联网访问能力:

  • L1WebSearch + WebFetch公开页面轻量
  • L2Jina ReaderJS 渲染的重页面,默认节省 Token
  • L3-fast(内置受管浏览器,v2.1 重写):到达并操作登录态/交互站点——每个任务独立 BrowserSpace 隔离、零 Python 依赖、每次动作都有可审计回执。抽取长正文仍归 L2 / L3-fallback,见下方取文说明
  • L3-fallbackChrome CDP + Python Playwright复杂自动化场景兜底长等待、特殊 race condition 等)

v2.1 重写:内置受管浏览器(默认隐藏,激活后才暴露)

调用 Skill('web-access') 加载本技能时,以下 8 个工具被注入到当前会话,让 LLM 直接驱动内置浏览器:

工具 用途
BrowserManage 建/销隔离 BrowserSpace、启动会话、管理标签页
BrowserSnapshot semantic / accessibility / visual 快照——读页面的主通道
BrowserAct 一次调用一个受管动作:导航、点击、输入、滚动、截图……
BrowserImport 从用户 Chrome/Edge/Firefox/Safari 配置导入 Cookie需人工审批
BrowserShare 把 Space/Session 委派给其他 Agent隔离 / 快照 / 写时复制 / 实时共享)
SitePatternRead / SitePatternWrite 按域名累积"站点经验"AgentFS 三层)
LocalBookmarks 检索本地 Chrome 书签 / 历史

重要:未调用 Skill('web-access') 之前,这些工具不会出现在 LLM 的 tools 列表里——默认对话不消耗其 token。详见 references/browser-tools.md

v2.1 已移除BrowserListTabs / BrowserNavigate / BrowserEval / BrowserClick / BrowserScreenshot / BrowserScroll / BrowserSetFiles / BrowserCloseTab 及其背后的 cdp-proxy 已停用,调用会返回「该旧 BrowserXxx/cdp-proxy 入口已停用」。本版要求客户端 v10.0.98+。

使用场景

  • 用户需要搜索当前信息或研究特定主题
  • 用户需要抓取公开网页内容或技术文档
  • 用户需要访问登录态站点小红书、B站、微博、飞书、Twitter 等)
  • 用户需要对比产品、聚合新闻或调查 API/库版本

核心价值

  • 四层递进:从轻量搜索到重度 JS 渲染到登录态访问,按需选择
  • Token 优化Jina Reader 默认减少 50-80% Token 消耗
  • 登录态复用:用 BrowserImport 把用户已有 Cookie 导入隔离 Space兜底层仍可 CDP 连用户 Chrome无需重复登录

L2详细规范

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 "(分析/推断)"

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 for the L3-fallback layerPython Playwright。L3-fast 内置浏览器不需要——用 BrowserImport 复用登录态即可。

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="${DESIRECORE_ROOT}/chrome-profile"

Linux:

google-chrome \
  --remote-debugging-port=9222 \
  --user-data-dir="${DESIRECORE_ROOT}/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 (小红书、B站、微博、飞书 …)
  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: "请先启动 Chrome 并开启远程调试端口(见 web-access 技能的 Prerequisites 部分)。"


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" (小红书/B站/微博/飞书/Twitter/知乎/公众号)
  │     ├─→ 到达BrowserManage(create_space/start_session) → BrowserImport(按域导入 Cookie)
  │     │        → BrowserAct(tab.navigate) → tab.activate + page.screenshot 确认落到正文页
  │     │          semantic 快照不含正文,不能用来读内容)
  │     └─→ 取正文:确认 CDP 就绪后 python3 playwright.connect_over_cdp()
  │              → page.content() → Jina Reader / BeautifulSoup
  │
  ├─ "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)
        ├─→ **Default: 内置受管浏览器** (BrowserManage → BrowserAct → BrowserSnapshot —
        │     see references/browser-tools.md, no Python needed)
        └─→ Fallback: CDP + Python Playwright (references/cdp-browser.md) when 内置浏览器 is insufficient
            (e.g., complex race conditions, multi-event waits, long-running in-browser scripts)

四层策略总结

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-fast 登录态导航与交互 (PRIMARY) 内置受管浏览器BrowserManage / BrowserAct / BrowserSnapshot Medium
L3-fallback 复杂自动化race / long-wait / 自定义脚本) Bash + Python Playwright CDP Medium

Default priority: L1 for simple public pages → L2 for heavy → L3-fast for login-gated → L3-fallback only when 内置浏览器不够用。


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
小红书 (xiaohongshu.com) L3 CDP 强制登录
B站 (bilibili.com) L3 CDP 视频描述/评论需登录
微博 (weibo.com) L3 CDP 长微博需登录
知乎 (zhihu.com) L3 CDP 长文+评论需登录
飞书文档 (feishu.cn) L3 CDP 必须登录
公众号 (mp.weixin.qq.com) L2 Jina Reader 通常公开Jina 处理更干净
LinkedIn L3 CDP 登录墙

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 (小红书/B站/微博/知乎/飞书)
  • Scrolling & lazy-load patterns
  • Screenshot & form-fill recipes
  • Troubleshooting connection issues

L3-fast: 内置受管浏览器速查v2.1

只在你调用 Skill('web-access') 加载本技能后,下面这组工具才会出现在 tools[] 里。

工具 一行示例
BrowserManage({ action: 'create_space', name, persistence: 'ephemeral' }) 每个任务一个隔离 Space
BrowserManage({ action: 'start_session', spaceId, capabilities }) 启动会话,返回 sessionId 与首个标签页
BrowserManage({ action: 'list_tabs' | 'create_tab' | 'close_session' }) 标签页与生命周期管理
BrowserAct({ action: 'tab.navigate', params: { url } }) 当前标签页导航
BrowserSnapshot({ mode: 'semantic' }) 读页面:可交互元素 + ref 句柄
BrowserAct({ action: 'input.click', params: { ref } }) 按快照 ref 点击,不要用裸 x/y
BrowserAct({ action: 'input.text', params: { text } }) 向聚焦元素输入文本
BrowserAct({ action: 'input.wheel', params: { deltaX: 0, deltaY: 720 } }) 滚动触发懒加载
BrowserAct({ action: 'tab.activate', params: { bounds } })page.screenshot 先 activate 再截图
BrowserImport({ action: 'discover' | 'plan' | 'apply' }) 复用用户登录态 Cookie需人工审批

完整 API 与边界条件见 references/browser-tools.md

怎么读页面 —— 按需求选通道:

你要什么 用什么 说明
可交互元素 + ref 句柄 BrowserSnapshot({ mode: 'semantic' }) 只有按钮/输入框/链接,不含正文文本
小页面的正文 BrowserSnapshot({ mode: 'accessibility' }) 返回 StaticText 节点;真实内容页会报 BROWSER_RESULT_TOO_LARGE(结果上限 2 MBdepth 参数当前被宿主忽略)
真实页面的正文 L2 Jina Reader公开页或 L3-fallback Playwright登录态 内置浏览器目前没有可用的批量取文通道
页面长什么样 tab.activateBrowserAct({ action: 'page.screenshot' }) 只有整页截图,靠看图读

page.evaluate 不是取文通道:每次调用需人工审批,且字符串/对象返回值会被替换成 [REDACTED:browser-runtime-value]

推荐流程(小红书示例)

1. BrowserManage({ action: 'create_space', name: 'xhs-note', persistence: 'ephemeral' })
2. BrowserManage({ action: 'start_session', spaceId, capabilities: [...] })
3. BrowserImport({ action: 'discover' }) → plan → apply 授权 xiaohongshu.com  ← 复用登录态
4. BrowserAct({ action: 'tab.navigate', params: { url: 'https://www.xiaohongshu.com/explore/abc123' } })
5. BrowserSnapshot({ mode: 'semantic' })   ← 只拿交互用的元素 ref不含正文
   tab.activate + page.screenshot           ← 确认确实渲染出了笔记
   → 正文抽取走 L3-fallback Playwright
6. SitePatternRead({ domain: 'xiaohongshu.com' })  ← 读累积经验
7. 任务结束 → BrowserManage({ action: 'close_session', sessionId })
8. 如发现新陷阱 → SitePatternWrite({ domain, scope: 'agent', mode: 'merge', content })

站点经验积累v2.0 新增)

任务结束如果发现新的反爬陷阱、有效选择器、平台特征,调用:

SitePatternWrite({
  domain: "xiaohongshu.com",
  scope: "agent",     // agent=共享(受 Git 管理发布给其他用户user=私有
  mode: "merge",      // merge 追加replace 覆盖
  content: "## 已知陷阱\n- 2026-05: ...",
  confidence: "medium"
})

读取走三层优先级:

SitePatternRead({ domain: "xiaohongshu.com" })
  → users/<userId>/agents/<agentId>/memory/site-patterns/   (用户私有)
  → agents/<agentId>/memory/site-patterns/                  (Agent 共享, Git)
  → defaults/global-skills/web-access/references/site-patterns/  (全局基线,只读)

含 cookie / token / 手机号 / 邮箱时 SitePatternWrite 自动降级 scope='user' 并提示。


Common Workflows

Read references/workflows.md for detailed templates:

  • 技术文档查询 (Tech docs lookup)
  • 竞品对比研究 (Competitor research)
  • 新闻聚合与时间线 (News aggregation)
  • API/库版本调查 (Library version investigation)

Read references/cdp-browser.md for login-gated site recipes (小红书/B站/微博/知乎/飞书).

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, 小红书 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.
  • (v2.1) 在能用内置浏览器时仍写 Python heredoc — 慢、依赖 Python+Playwright 安装、上下文体积大。优先 L3-fast只在内置浏览器不够race / 长等待 / 自定义脚本)时才回退。
  • (v2.1) 没 tab.activate 就直接 page.screenshot — 标签页默认停在窗口外 (-10000,-10000,1x1),没有合成表面,截图会卡满 30 秒 deadline 并把标签页宿主打掉,之后所有调用都报 BROWSER_TAB_HOST_NOT_FOUND。务必先用真实 bounds tab.activate
  • (v2.1) 用 page.evaluate 读页面 — 每次调用都需人工审批,返回的字符串/对象会被治理策略替换为 [REDACTED:browser-runtime-value](只有 number/boolean/null 能穿透),且反调试站点会把它挂起几十秒。读页面请用 BrowserSnapshot
  • (v2.1) 任务结束发现新陷阱却不写 site-pattern — 下次同 Agent 再做相同任务会重复踩坑。任何"花了 2+ 步才搞清楚的细节"都值得 SitePatternWrite(scope='agent', mode='merge')
  • (v2.1) 把含 cookie / 手机号的内容写到 scope='agent' — 这层会被 Git 提交、可能发布到市场。SitePatternWrite 会自动降级,但你不该故意往 agent 层写敏感信息。

Example Interaction

User: "帮我抓一下这条小红书笔记的内容:https://www.xiaohongshu.com/explore/abc123"

Agent workflow:

1. 识别 → 小红书是 L3 登录态站点
2. 检查 CDPcurl -s http://localhost:9222/json/version
   ├─ 失败 → 提示用户启动 Chrome 调试模式,终止
   └─ 成功 → 继续
3. Bash: python3 connect_over_cdp 脚本 → page.goto(url) → page.content()
4. BeautifulSoup 提取 h1 title、.note-content、.comments
5. 返回给用户时:
   - 引用原 URL
   - 若内容很长,用 Jina 清洗一遍节省 token
6. 告知用户:「已通过你的登录态抓取,原链接:[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.