by chenjin-cmd · Agent Tool · ★ 540
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 540 |
| Forks | 76 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61/100 |
| Last Updated | 2026-07-08 |
| Created | 2026-06-13 |
| Platforms | python |
| Est. Tokens | ~5k |
起号专家 Agent Skills / Account Launch Agent Skills 想要加入自媒体AI破局社群可联系微信:JZXAI1203 一组面向中文内容运营场景的 agent skills,覆盖微信公众号、小红书、抖音和 X/Twitter 的合规起号、定位、选题、内容计划和复盘。 A bilingual agent skills pack for Chinese content operators, covering compliant account launch planning, positioning, topic systems, content calendars, and review loops for WeChat Official Accounts, Xiaohongshu, Douyin, and X/Twitter.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: