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在 OpenClaw 中安装
/install web-content-fetcher-hanya
功能描述
Extract article content from any URL as clean Markdown. Uses Scrapling script as primary method (with auto fast→stealth fallback), Jina Reader as alternative...
安全使用建议
This skill appears to be what it claims: a local Python-based webpage-to-Markdown extractor. Before installing or enabling it, consider: (1) run pip installs inside a virtualenv/isolated environment (the script requires scrapling and html2text and may need a headless browser runtime like Chromium depending on your Scrapling setup); (2) audit and sandbox use if you plan to let the agent call arbitrary URLs — the script will fetch any URL given (so avoid giving it internal/cloud-metadata URLs or other sensitive endpoints); (3) verify the upstream 'scrapling' package and ensure you trust it for headless browsing; (4) if you need offline copies with embedded images, implement the post-processing step yourself since image downloading is not included. Overall the skill is coherent and proportionate, but deploy with usual caution for code that performs network fetching and headless browser actions.
功能分析
Type: OpenClaw Skill
Name: web-content-fetcher-hanya
Version: 0.0.1
The skill is a legitimate web content extractor that converts web pages to Markdown using the Scrapling and html2text libraries. The code in scripts/fetch.py implements standard scraping logic, including a headless browser fallback for JavaScript-heavy sites and specific handling for lazy-loaded images, with no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description (extract article content to Markdown) align with the provided files and runtime actions. The skill ships a Python script that fetches HTML, normalizes lazy images, and converts to Markdown using html2text — all expected for a webpage extractor.
Instruction Scope
SKILL.md instructs the agent to run the included scripts/fetch.py and to prefer Scrapling with an optional Jina Reader fallback — instructions stay within the stated purpose. Note: the script will perform arbitrary HTTP(S) requests (including headless browser fetches) to whatever URL the user or agent supplies, which is expected but can fetch internal endpoints (e.g., cloud metadata or intranet) if given such URLs.
Install Mechanism
No install spec is declared (instruction-only), and dependencies are standard Python packages listed in requirements.txt. Nothing is downloaded from an unknown URL or written to disk during an automated install step. The skill does require pip installation of scrapling and html2text as documented.
Credentials
The skill requires no environment variables, secrets, or config paths. The code uses only local imports and network access to the target URLs — this is proportional to its purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent platform privileges. It does not modify other skills or system-wide settings.
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 web-content-fetcher-hanya - 安装完成后,直接呼叫该 Skill 的名称或使用
/web-content-fetcher-hanya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
v0.0.1
Fix WeChat lazy-load image placeholders leaking into Markdown; make fix_lazy_images DOM-based.
元数据
常见问题
Web Content Fetcher (WeChat images fix) 是什么?
Extract article content from any URL as clean Markdown. Uses Scrapling script as primary method (with auto fast→stealth fallback), Jina Reader as alternative... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 786 次。
如何安装 Web Content Fetcher (WeChat images fix)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install web-content-fetcher-hanya」即可一键安装,无需额外配置。
Web Content Fetcher (WeChat images fix) 是免费的吗?
是的,Web Content Fetcher (WeChat images fix) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Web Content Fetcher (WeChat images fix) 支持哪些平台?
Web Content Fetcher (WeChat images fix) 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 Web Content Fetcher (WeChat images fix)?
由 haanya168(@haanya168)开发并维护,当前版本 v0.0.1。
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