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在 OpenClaw 中安装
/install wechat-article-digest
功能描述
微信公众号文章抓取、分类与日报生成。当用户发送公众号文章链接(mp.weixin.qq.com)、说"文章日报"、"今日阅读"、"归类一下"、"整理文章"、"帮我看看这篇文章"时触发。也用于用户日常转发文章链接时自动抓取摘要和分类。
安全使用建议
This skill appears to do what it says: scrape mp.weixin.qq.com article pages, extract title/author/body, generate a 1–2 sentence summary and 1–2 tags, and append the record to memory/YYYY-MM-DD.md for daily reports. Before installing, consider: (1) Ensure the agent environment has curl and python3 available (the SKILL.md uses them but metadata doesn't list required binaries). (2) Be aware fetched article contents are stored in memory files — if you forward private or sensitive links, their contents will be persisted. (3) The skill executes shell and Python commands (via exec); run in a trusted/sandboxed agent if you have concerns about executing commands in your environment. (4) Scraping WeChat pages may sometimes fail or return obfuscated content; the skill's regex-based extraction is brittle. If any of these are unacceptable, ask the publisher to declare required binaries, to avoid exec usage, or to change storage behavior before enabling the skill.
功能分析
Type: OpenClaw Skill
Name: wechat-article-digest
Version: 1.0.0
The skill contains a shell injection vulnerability in SKILL.md by directly embedding user-provided URLs into a shell command string using the `exec` tool (curl | python3). While the logic is consistent with its stated purpose of scraping WeChat articles, the lack of input sanitization for shell execution is a high-risk flaw, though no clear evidence of malicious intent or exfiltration was found.
能力评估
Purpose & Capability
The SKILL.md clearly implements WeChat article fetching, tagging, summarization, and appending entries to memory files — which matches the description. One inconsistency: the runtime instructions call curl and python3 (via exec), but the skill metadata lists no required binaries. Either the environment must already provide curl/python3 or the metadata should declare them.
Instruction Scope
Instructions are narrowly scoped to fetching mp.weixin.qq.com article pages, extracting title/author/body, generating summaries and tags, and writing per-day markdown files in memory/. This matches the purpose. Items to be aware of: the skill executes shell commands (curl) and a Python extraction snippet, and it writes full article text into memory/YYYY-MM-DD.md — that is expected but means fetched content will persist in agent memory.
Install Mechanism
There is no install spec or downloaded code; the skill is instruction-only, so nothing is written to disk by an installer. This is the lowest-risk install model.
Credentials
The skill requests no environment variables, credentials, or external configuration paths. All required actions (HTTP fetch, local parsing, memory write) are proportional to its purpose.
Persistence & Privilege
always is false and the skill writes only to its own memory/YYYY-MM-DD.md files as described. It does not request elevated or system-wide privileges. Note: allowed-tools includes exec, read, write, edit which permits running commands and modifying agent memory — appropriate for this skill but worth confirming you are comfortable with those tool permissions.
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 wechat-article-digest - 安装完成后,直接呼叫该 Skill 的名称或使用
/wechat-article-digest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: fetch WeChat articles via curl+regex, auto summarize and categorize, support daily digest
元数据
常见问题
WeChat Article Digest 是什么?
微信公众号文章抓取、分类与日报生成。当用户发送公众号文章链接(mp.weixin.qq.com)、说"文章日报"、"今日阅读"、"归类一下"、"整理文章"、"帮我看看这篇文章"时触发。也用于用户日常转发文章链接时自动抓取摘要和分类。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 80 次。
如何安装 WeChat Article Digest?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-article-digest」即可一键安装,无需额外配置。
WeChat Article Digest 是免费的吗?
是的,WeChat Article Digest 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
WeChat Article Digest 支持哪些平台?
WeChat Article Digest 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 WeChat Article Digest?
由 Milesnee(@milesnee)开发并维护,当前版本 v1.0.0。
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