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Install in OpenClaw
/install silas-wechat-article-search
Description
微信公众号文章搜索与解析。搜狗微信+新榜双源搜索，Python脚本解析全文（零Node依赖），Serper转载兜底。
Usage Guidance
Before installing: 1) Ask the author to declare required environment variables (at minimum SERPER_API_KEY) and any credentials for Feishu or other services the skill will call. 2) Confirm where web-keywords.json and memory/collect-log.json come from and whether the skill will read any other local files. 3) Understand that the skill will write scraped output and images to /tmp/openclaw/images/ and may upload media to Feishu — make sure those actions are acceptable and that Feishu credentials are handled securely by the agent. 4) Note legal/terms-of-service risks when scraping WeChat/Sogou; consider rate limits and captcha workarounds. 5) If you need tighter assurance, request the author remove undeclared external dependencies or explicitly list required secrets and file paths; otherwise treat this skill as having broader access than the metadata indicates.
Capability Analysis
Type: OpenClaw Skill
Name: silas-wechat-article-search
Version: 2.0.0
The skill bundle is a legitimate tool designed to search for WeChat articles via Sogou/Serper and parse them into a Feishu knowledge base. The Python script `scripts/parse_article.py` uses standard libraries (requests, BeautifulSoup) to extract content and includes a common scraping technique (iPhone User-Agent) to bypass WeChat's anti-crawling measures. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (WeChat article search & parse) matches the included parser script and curl-based search steps. However, the SKILL.md uses a SERPER API key ($SERPER_API_KEY) and references other system artifacts (web-keywords.json, memory/collect-log.json) and Feishu integration steps without declaring any required environment variables, credentials, or config paths in the skill metadata. Those externally referenced items are not explained or requested in the registry metadata, which is disproportionate.
Instruction Scope
Instructions tell the agent to: curl sogou/webrank/Serper, run the included Python parser, search for reposts, write and save JSON, save images to /tmp/openclaw/images/, and call other agent-native tools (feishu_create_doc, feishu_doc_media, feishu_search_doc_wiki, wiki-directory-manager, web_fetch). The SKILL.md also expects local files (web-keywords.json, memory/collect-log.json). The skill instructs reading/writing files and calling external services beyond the single parse operation; many of these inputs/outputs are not declared, granting the agent broad scope that isn't captured in metadata.
Install Mechanism
No formal install spec (instruction-only) — lower install risk. SKILL.md suggests 'pip3 install requests beautifulsoup4' which is a normal, minimal Python dependency list and aligns with the included script. Nothing is downloaded from unknown URLs or extracted to disk by an installer.
Credentials
Metadata lists no required env vars, but the SKILL.md uses $SERPER_API_KEY in curl commands. The skill also expects Feishu insertion (which usually requires credentials) and references local state files; none of these credentials or config paths are declared. Requesting or using undeclared secrets/configs is disproportionate and should be explicit.
Persistence & Privilege
always:false and the skill is user-invocable; it does not request forced/permanent inclusion. It does instruct writing output and images to /tmp/openclaw/images/ (its own local path) which is reasonable for a scraper/collector and not an escalation of platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install silas-wechat-article-search - After installation, invoke the skill by name or use
/silas-wechat-article-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
v2.0: 合并parser+search双技能，Python解析全文(iPhone UA绕验证)，段落去重，零Node依赖，Serper转载兜底
v1.1.0
去掉Node脚本和cheerio依赖，纯agent工具实现，零依赖
v1.0.0
Initial release: 微信公众号文章搜索，搜狗+新榜双源
Metadata
Frequently Asked Questions
What is Silas WeChat Article Search?
微信公众号文章搜索与解析。搜狗微信+新榜双源搜索，Python脚本解析全文（零Node依赖），Serper转载兜底。 It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.
How do I install Silas WeChat Article Search?
Run "/install silas-wechat-article-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Silas WeChat Article Search free?
Yes, Silas WeChat Article Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Silas WeChat Article Search support?
Silas WeChat Article Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux).
Who created Silas WeChat Article Search?
It is built and maintained by silas (@aohoyo); the current version is v2.0.0.
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