No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by iamzifei · Claude Skill · ★ 157
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wechat-article-publisher-skill safe to install? View the security audit →
WeChat Article Publisher Skill English | 中文 Publish Markdown or HTML articles to WeChat Official Account drafts with one command. Say goodbye to tedious copy-paste-format workflows. v1.1.0 — API-based publishing for reliability and speed The Problem If you write in Markdown, publishing to WeChat Official Account (公众号) is a painful process: Time Comparison 30x efficiency improvement The Solution This skill uses WeChat's API for direct, reliable publishing: Key Features API-Based: Direct API calls, no browser automa
| Stars | 157 |
| Forks | 19 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 77.2381800480509/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-12 |
| Created | 2026-01-13 |
| Platforms | claude-code, python |
| Est. Tokens | ~9k |
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wechat-article-publisher-skill is Claude Skill that publish on Wechat articles (微信公众号发布）. It is categorized as a Claude Skill with 157 GitHub stars.
wechat-article-publisher-skill is primarily written in Python. It covers topics such as ai, claude, claude-code.
You can find installation instructions and usage details in the wechat-article-publisher-skill GitHub repository at github.com/iamzifei/wechat-article-publisher-skill. The project has 157 stars and 19 forks, indicating an active community.
wechat-article-publisher-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to wechat-article-publisher-skill on Agent Skills Hub include claude-code-settings, deepcontext-mcp, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: