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微信公众号文章抓取（Alex版）
by
alexduming
· GitHub ↗
· v1.0.0
· MIT-0
243
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install wechat-article-fetcher-alexdu
Description
微信公众号文章抓取工具。当用户发送 mp.weixin.qq.com 链接时自动触发，将文章内容提取为 Markdown/文本，无需 API 密钥。
Usage Guidance
This skill will send any mp.weixin.qq.com link a user provides to the public service down.mptext.top to produce Markdown/text. Before installing, consider: (1) Do you trust down.mptext.top to receive and keep those URLs and the scraped content? The site could log or republish content, including copyrighted or private material. (2) If you need stronger privacy or auditability, prefer a local scraper or a trusted/official API. (3) If you proceed, test with non-sensitive links first and confirm the extractor's behavior and retention/privacy policy. If the maintainer or domain reputation is unknown, treat this as a privacy risk and avoid using for confidential content. Additional information that would lower risk: documentation or reputation for down.mptext.top (official project, source code, clear privacy policy), or a version of the skill that performs scraping locally instead of forwarding content to a third party.
Capability Analysis
Type: OpenClaw Skill
Name: wechat-article-fetcher-alexdu
Version: 1.0.0
The skill is a utility for fetching and converting WeChat articles into Markdown or text using a third-party API (down.mptext.top). The code and instructions in SKILL.md are consistent with the stated purpose and do not show signs of data exfiltration, malicious execution, or unauthorized access to sensitive system information.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the skill fetches mp.weixin.qq.com articles and returns Markdown/text via an HTTP GET to a public extractor service. No unrelated env vars or binaries are requested.
Instruction Scope
Runtime instructions explicitly send the article URL to https://down.mptext.top/api/public/v1/download?url=...&format=... — this forwards user-supplied URLs (and the extractor returns article content) to a third party. The SKILL.md does not limit or warn about privacy/consent, nor does it offer a local scraping fallback. Directing user content to an external host outside the source site is a notable data‑leakage/privacy concern.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded by the skill itself, which minimizes install-time risk.
Credentials
The skill requests no credentials or config paths. However, despite no env vars being requested, it still exfiltrates data at runtime via network calls to a third party — this is a behavioral (not credential) risk.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; it does not request elevated persistence or modify other skills. Autonomous invocation is allowed by platform default but not newly privileged here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wechat-article-fetcher-alexdu - After installation, invoke the skill by name or use
/wechat-article-fetcher-alexdu - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
首个版本，支持抓取微信公众号文章为 Markdown 格式，无需 API 密钥
Metadata
Frequently Asked Questions
What is 微信公众号文章抓取（Alex版）?
微信公众号文章抓取工具。当用户发送 mp.weixin.qq.com 链接时自动触发，将文章内容提取为 Markdown/文本，无需 API 密钥。 It is an AI Agent Skill for Claude Code / OpenClaw, with 243 downloads so far.
How do I install 微信公众号文章抓取（Alex版）?
Run "/install wechat-article-fetcher-alexdu" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 微信公众号文章抓取（Alex版） free?
Yes, 微信公众号文章抓取（Alex版） is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 微信公众号文章抓取（Alex版） support?
微信公众号文章抓取（Alex版） is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 微信公众号文章抓取（Alex版）?
It is built and maintained by alexduming (@alexduming); the current version is v1.0.0.
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