skills/.trash/openclaw-search-skills/mineru-extract/SKILL.md
Use the official MinerU (mineru.net) parsing API to convert a URL (HTML pages like WeChat articles, or direct PDF/Office/image links) into clean Markdown + structured outputs. Use when web_fetch/browser can’t access or extracts messy content, and you want higher-fidelity parsing (layout/table/formula/OCR).
npx skillsauth add aaaaqwq/agi-super-skills mineru-extractInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use MinerU as an upstream “content normalizer”: submit a URL to MinerU, poll for completion, download the result zip, and extract the main Markdown.
We align to the MinerU MCP mental model, but we do not run an MCP server.
scripts/mineru_parse_documents.py
--file-sources (comma/newline-separated){ ok, items, errors }scripts/mineru_extract.pyAuth:
MINERU_TOKEN (Bearer token from mineru.net)Default model heuristic:
.pdf/.doc/.ppt/.png/.jpg → pipelineMinerU-HTML (best for HTML pages like WeChat articles)Put secrets in skill root .env (do not paste into chat outputs):
# In the mineru-extract skill directory: .env
MINERU_TOKEN=your_token_here
MINERU_API_BASE=https://mineru.net
MCP-style wrapper (returns JSON, optionally includes markdown text):
python3 mineru-extract/scripts/mineru_parse_documents.py \
--file-sources "<URL1>\n<URL2>" \
--language ch \
--enable-ocr \
--model-version MinerU-HTML
If you want the markdown content inline in the JSON (can be large):
python3 mineru-extract/scripts/mineru_parse_documents.py \
--file-sources "<URL>" \
--model-version MinerU-HTML \
--emit-markdown --max-chars 20000
Low-level (single URL, print markdown to stdout):
python3 mineru-extract/scripts/mineru_extract.py "<URL>" --model MinerU-HTML --print > /tmp/out.md
The script always downloads + extracts the MinerU result zip to:
~/.openclaw/workspace/mineru/<task_id>/
It writes:
result.zipIt prints a JSON summary to stderr with paths:
task_id, full_zip_url, out_dir, markdown_path--model: pipeline | vlm | MinerU-HTML (HTML requires MinerU-HTML)--ocr/--no-ocr: enable OCR (effective for pipeline/vlm)--table/--no-table: table recognition--formula/--no-formula: formula recognition--language ch|en|...--page-ranges "2,4-6" (non-HTML)--timeout 600 / --poll-interval 2err_msg and keep an original-source link in outputs.testing
AI驱动的智能浏览器自动化工具。使用LLM理解页面并自动执行任务,比传统Playwright更智能、更省token。适用于复杂交互、动态页面、需要智能决策的浏览器操作。Chrome浏览器优先。
tools
网页登录态管理。使用 fast-browser-use (fbu) 管理各平台登录状态,定期检查可用性,新平台授权时自动保存 profile。
development
Monitor and report on API provider quotas, balances, and usage. Query official providers (Moonshot, DeepSeek, xAI, Google AI Studio) and relay/proxy providers (Xingjiabiapi, Aixn, WoW) via their billing APIs. Also checks subscription services (Brave Search, OpenRouter). Generates quota reports. Triggers on "查额度", "API余额", "quota check", "billing report", "api balance", "供应商额度", "中转站余额", "费用报告", "check balance", "how much credit".
development
# A股基金监控 Skill A股基金净值监控,支持实时估值和盘后净值,自动判断交易日/节假日。 ## 用法 ### 快速监控(命令行) ```bash # 默认配置,输出到控制台 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh # 推送到群(使用--push参数) bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --push # 监控指定基金 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --codes "000979 002943" ``` ### Agent调用 ``` 执行A股基金监控任务。 1. 读取配置文件: ~/clawd/skills/a-fund-monitor/config.json 2. 获取实时净值数据 3. 非交易日自动切换为简短报告 配置文件格式: { "funds": [ {"code": "000979", "name": "景顺长城沪港深精选股票