content-extract

$npx mdskill add aAAaqwq/AGI-Super-Team/content-extract

Extract webpage content to traceable Markdown reliably.

  • Converts URLs to readable Markdown for blocked or messy sites.
  • Integrates web_fetch probes and MinerU API for robust extraction.
  • Uses domain whitelists to bypass anti-crawling protections.
  • Returns structured contracts with source links and action suggestions.

SKILL.md

.github/skills/content-extractView on GitHub ↗
---
name: content-extract
description: Robust URL-to-Markdown extraction for OpenClaw workflows. Use when the
  user wants to "extract/summarize/convert a webpage to markdown" (especially WeChat
  mp.weixin.qq.com) and web_fetch/browser is blocked or messy. Uses a cheap probe
  via web_fetch first, then falls back to the official MinerU API (via the local mineru-extract
  skill) and returns a traceable result contract with source links.
author: Daniel Li
---
# content-extract — 上层内容解析入口(MCP 语义对齐,但不跑 MCP Server)

- Author: Daniel Li
- Copyright © Daniel Li. All rights reserved.

目标:把“给我一个 URL → 产出可读 Markdown + 可追溯入口”变成一个**统一入口**,供后续所有业务 skill(github-explorer、写作类 skills、日报等)复用。

核心原则(来自你发的 Excel Skill 拆解文章的启发):

- **行为规约层**:永远给出可追溯入口(原文 URL + 解析产物路径/链接),绝不编造来源。
- **Token 探针**:先用低成本 probe 判断可不可以直接抓;不行再走重解析(MinerU)。
- **反弹机制**:失败时返回“下一步动作建议”,而不是一堆异常栈。

## 工作流(Decision Tree)

输入:`url`

0) **Domain Whitelist(跳过 probe)**:若 URL 属于高概率反爬/动态站点(微信/知乎等),直接走 MinerU

- 白名单文件:`references/domain-whitelist.md`
- 对命中白名单的 URL:强制 `model_version=MinerU-HTML`

1) **Probe(低成本)**:优先用 `web_fetch(url)`

- 目标:拿到正文 markdown(便宜、快)
- 判断“失败/不合格”条件(见 `references/heuristics.md`)包括:
  - 403/401/反爬
  - 只有“环境异常/验证码/请在微信打开”等提示
  - 内容极短/明显导航页/丢正文

2) **Fallback(高保真)**:走 MinerU 官方 API

- 调用下游 driver:`skills/mineru-extract/scripts/mineru_parse_documents.py`
- 对 HTML 页面(微信等):强制 `model_version=MinerU-HTML`

3) **输出统一结果合同(Result Contract)**

无论用 probe 还是 MinerU,都返回同一套结构:

```json
{
  "ok": true,
  "source_url": "...",
  "engine": "web_fetch" ,
  "markdown": "...",
  "artifacts": {
    "out_dir": "...",
    "markdown_path": "...",
    "zip_path": "..."
  },
  "sources": [
    "原文URL",
    "(如使用MinerU)MinerU full_zip_url",
    "(如使用MinerU)本地markdown_path"
  ],
  "notes": ["任何重要限制/失败原因/下一步建议"]
}
```

> 注意:`engine` 可能是 `web_fetch` 或 `mineru`。

## MinerU 调用(给 agent 的确定性脚本)

当需要 MinerU 时,用这个命令(返回 JSON,且可把 markdown 内联进 JSON,便于下游总结):

```bash
python3 mineru-extract/scripts/mineru_parse_documents.py \
  --file-sources "<URL>" \
  --model-version MinerU-HTML \
  --emit-markdown --max-chars 20000
```

> **路径说明**: 上述命令假设你在 skills 安装根目录下执行。如果 mineru-extract 安装在其他位置,请替换为实际路径。

## 交付规范(强制)

- 输出必须包含 `sources`(原文入口 + 解析产物入口)。
- 如果 MinerU 成功:必须把 `markdown_path`(本地路径)写进 `sources`,方便复查。
- 如果两条链路都失败:必须明确失败原因,并给出下一步(例如:让 Boss 提供可访问镜像链接 / 允许我用浏览器 relay 导出 HTML / 走上传 HTML 文件解析的兜底方案)。

## 本 skill 自身不做什么

- 不跑 MCP Server(避免常驻服务与运维负担)
- 不试图绕过登录/验证码(这属于访问层问题;我们只做解析层和工作流路由)

## References

- MinerU API docs: https://mineru.net/apiManage/docs
- MinerU output files: https://opendatalab.github.io/MinerU/reference/output_files/

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