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在 OpenClaw 中安装
/install facenot
功能描述
Extracts the first post text from a given Facebook URL using server-side scraping without handling login or JavaScript content.
使用说明 (SKILL.md)
Facebook Post Reader (skill mẫu)
Mô tả:
- Skill này cố gắng truy cập một URL (ví dụ profile hoặc bài viết) và lấy nội dung "bài viết đầu tiên" trên trang đó.
- Lưu ý: Facebook và nhiều trang hiện đại sử dụng JavaScript/đăng nhập; script này là "server-side scraping" đơn giản và có thể không hoạt động với các trang yêu cầu JS hoặc đăng nhập. Xem phần "Lưu ý" bên dưới.
Input:
- url (string): URL trang web cần đọc
Output (JSON):
- status: "success" hoặc "error"
- content: nội dung văn bản đã lấy hoặc thông báo lỗi
Cấu trúc file:
- SKILL.md
- manifest.json
- scripts/skill.py
- requirements.txt
- references/schema.md
- references/queries.md
Lưu ý quan trọng:
- Nếu trang yêu cầu đăng nhập (như Facebook cá nhân), script này có thể không lấy được nội dung.
- Để xử lý Facebook / trang động, cần dùng browser automation (Puppeteer/Playwright) với cookie đã đăng nhập.
- Dùng skill này đúng pháp luật và chính sách của nền tảng khi crawl nội dung.
安全使用建议
This skill is internally consistent for scraping static public pages: it performs an HTTP GET and parses HTML with BeautifulSoup and requires only standard Python packages. Before installing, consider: (1) it will make network requests to any URL you give it (so avoid passing private/internal URLs), (2) it won't handle Facebook pages that require login or JavaScript, (3) scraping may violate site terms of service—ensure you have the right to crawl the target, and (4) there is no homepage or known publisher listed, so only use it in a trusted environment. If you plan to run it, install the listed Python dependencies in an isolated environment (venv) and avoid supplying credentials or private session cookies to this skill.
功能分析
Type: OpenClaw Skill
Name: facenot
Version: 1.0.0
The skill is a straightforward web scraper designed to extract text from a provided URL using the requests and BeautifulSoup libraries. The code in scripts/skill.py follows standard practices for HTML parsing, and the manifest.json correctly identifies the need for network permissions without requesting excessive access or demonstrating any malicious intent such as data exfiltration or command injection.
能力评估
Purpose & Capability
The manifest, SKILL.md, and scripts/skill.py are all aligned: they perform a simple GET and HTML parse to extract the first post-like text. Minor naming inconsistencies exist (registry name/slug differ from manifest name) and the source/homepage are unknown, but functionality requested (network access, requests + beautifulsoup) is appropriate for the stated goal.
Instruction Scope
SKILL.md and the script only require a URL input and instruct a plain HTTP GET and HTML parsing. The instructions explicitly note limitations (JS/login) and do not request reading local files, extra env vars, or sending data to unexpected endpoints.
Install Mechanism
No install spec is provided (instruction+script only). The requirements.txt lists standard PyPI packages (requests, beautifulsoup4). Nothing is downloaded from untrusted URLs and no archive extraction occurs.
Credentials
The skill requires no credentials, config paths, or environment variables. This is proportionate to a public-page scraping utility.
Persistence & Privilege
always is false, the skill does not request persistent system changes or modify other skills' configs. Autonomous invocation is allowed by platform default but not a special privilege of this skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install facenot - 安装完成后，直接呼叫该 Skill 的名称或使用
/facenot触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of Facebook Post Reader skill.
- Attempts to fetch the first post content from a provided Facebook page or post URL using server-side scraping.
- Input: URL of the page to read.
- Output: JSON with status and extracted content or error message.
- Not compatible with pages requiring login or JavaScript; see documentation for limitations.
- Includes legal and technical usage notes.
元数据
常见问题
facequet 是什么？
Extracts the first post text from a given Facebook URL using server-side scraping without handling login or JavaScript content. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 189 次。
如何安装 facequet？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install facenot」即可一键安装，无需额外配置。
facequet 是免费的吗？
是的，facequet 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
facequet 支持哪些平台？
facequet 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 facequet？
由 duylori（@duylori）开发并维护，当前版本 v1.0.0。
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