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 Batman0506 · Codex Skill · ★ 331
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-sec-skills safe to install? View the security audit →
🔐 OpenClaw SecSkills 🛡️ 网络安全 · 渗透测试 · 攻防对抗 · 红蓝对抗 · AI Agent Skills 🛡️ Cybersecurity · Penetration Testing · Red/Blue Team · AI Agent Skills 中文 | English 📚 文档 • 🛠️ 分类 • 🚀 快速开始 • 🤝 贡献 • 📜 许可证 📖 关于项目 OpenClaw SecSkills 是一个专门为网络安全从业人员、渗透测试工程师、红蓝对抗团队整理的 AI Agent Skills 集合。 本项目基于 [OpenClaw](https://op
| Stars | 331 |
| Forks | 41 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.6089729102886/100 |
| Last Updated | 2026-06-25 |
| Created | 2026-04-10 |
| Platforms | python |
| Est. Tokens | ~24k |
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openclaw-sec-skills is 🛡️ 网络安全/AI Agent Skills 集合 | Cybersecurity Security Skills Collection. It is categorized as a Codex Skill with 331 GitHub stars.
openclaw-sec-skills is primarily written in Python.
You can find installation instructions and usage details in the openclaw-sec-skills GitHub repository at github.com/Batman0506/openclaw-sec-skills. The project has 331 stars and 41 forks, indicating an active community.
openclaw-sec-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openclaw-sec-skills on Agent Skills Hub include skillkit, Skills-Manager, ai-maestro. 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: