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Install in OpenClaw
/install zhy-wechat-writing
Description
Use when generating a complete WeChat article from a topic, with optional source research, evidence tracking, illustration, HTML conversion, and draft-box pu...
Usage Guidance
This skill appears to do what it says (generate WeChat articles, gather sources, optionally add illustrations and save drafts). Before installing/using: (1) Review and separately inspect any auxiliary skills it calls (zhy-article-illustrator, zhy-markdown2wechat, zhy-wechat-publish) because those will likely require API keys/credentials and could upload data to third-party services. (2) Do NOT pass a full personal Chrome profile unless you understand the implications — prefer creating a minimal dedicated profile or using an official API/credential-based publish flow. (3) If you enable illustration upload (七牛/Qiniu) or publishing, confirm where images and article HTML will be uploaded and whether credentials are stored; provide least-privilege credentials. (4) Be aware the skill will crawl public web pages (and may attempt SERP scraping as a fallback); ensure you are comfortable with the agent fetching and storing scraped content in the articles/<slug>/ directory. (5) If you need higher assurance, ask for the auxiliary skills' SKILL.md/README files and their required env vars before enabling image upload or automatic draft publishing.
Capability Analysis
Type: OpenClaw Skill
Name: zhy-wechat-writing
Version: 0.1.0
The skill orchestrates a complex WeChat article creation workflow that includes web searching, content generation, and automated publishing. It exhibits high-risk behaviors such as executing external Node.js scripts via shell commands (Step 6, 7, and 8 in SKILL.md) and requesting access to a Chrome profile directory (wechat_profile_dir) to maintain login states. While these capabilities are plausibly necessary for the stated purpose of automating WeChat publishing, the combination of shell execution and access to sensitive browser data represents a significant security risk without further sandboxing.
Capability Assessment
Purpose & Capability
Name and description match what the SKILL.md instructs: multi-source search, evidence collection, draft generation, optional illustration, HTML conversion, and saving to a WeChat draft. Declared tools (WebSearch, webfetch) and optional helper skills (zhy-article-illustrator, zhy-markdown2wechat, zhy-wechat-publish) are consistent with the described functionality.
Instruction Scope
Instructions direct the agent to crawl/search many public sources, fetch and parse web pages, write outputs under articles/<slug>/, and optionally call other skills. These actions are within the stated purpose. Two items merit attention: (1) an optional wechat_profile_dir can cause the agent to reuse a browser profile (cookies/session artifacts) for publishing, which exposes local credentials/session state if provided; (2) the skill's fallback scraping behavior (SERP scraping when WebSearch is unavailable) can cause broader, unpredictable network fetches. Both are expected for this use case but require conscious user consent/controls.
Install Mechanism
This skill is instruction-only with no install spec and no code files, so it does not install or write new binaries. That minimizes install-time risk.
Credentials
The skill itself declares no required environment variables or credentials, which is proportionate. However, optional flows depend on auxiliary skills that will require credentials (e.g., image upload to 七牛/Qiniu, WeChat draft publishing). The SKILL.md references these integrations but does not declare or manage their env vars — users must ensure auxiliary skills' credentials are provided securely and understand what they grant. Supplying a Chrome profile path can expose session cookies and should be done with caution.
Persistence & Privilege
always:false and default model invocation are normal. The skill writes outputs to a workspace (articles/<slug>/...), which is appropriate for its function. It does not request persistent platform-level privileges or attempt to modify other skills' configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zhy-wechat-writing - After installation, invoke the skill by name or use
/zhy-wechat-writing - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
zhy-wechat-writing 3.6.0 introduces a comprehensive workflow for automated WeChat article creation, including material gathering, drafting, self-review, illustration, and publishing.
- Adds multi-stage workflow: source collection, draft writing, AI-powered review, polishing, optional illustration, and draft-box publishing.
- Supports source research from official, community, and practice channels with confidence grading and evidence tracking.
- New inputs allow extensive customization: illustration options, HTML export, publishing profile, and more.
- Outputs expanded to include article path, illustration directory, review score, and draft publishing status.
- Enforces factual traceability: all key points in articles must be backed by evidence from collected sources.
- Detailed documentation provided for prerequisites, usage scenarios, error handling, and quality requirements.
Metadata
Frequently Asked Questions
What is Zhy Wechat Writing?
Use when generating a complete WeChat article from a topic, with optional source research, evidence tracking, illustration, HTML conversion, and draft-box pu... It is an AI Agent Skill for Claude Code / OpenClaw, with 245 downloads so far.
How do I install Zhy Wechat Writing?
Run "/install zhy-wechat-writing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Zhy Wechat Writing free?
Yes, Zhy Wechat Writing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Zhy Wechat Writing support?
Zhy Wechat Writing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Zhy Wechat Writing?
It is built and maintained by zhy (@zhylq); the current version is v0.1.0.
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