by labring · Codex Skill · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx plugins add https://github.com/labring/sealos-skills --target codex
npx plugins add https://github.com/labring/sealos-skills --target claude-codeTaken from the project's README on GitHub. Check the security audit before running it.
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 | 82 |
| Forks | 20 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 67/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-28 |
| Created | 2026-02-05 |
| Platforms | claude-code, cli, codex, docker, gemini, k8s, python |
| Est. Tokens | ~16k |
Sealos Skills Deploy projects to Sealos Cloud from your AI agent. Sealos Skills is a plugin-first skill pack centered on Sealos Cloud development and deployment. It helps an AI agent inspect a project, prepare missing deployment artifacts, connect Sealos Cloud databases and object storage for development, build or reuse a container image, ship the app to Sealos Cloud, and view deployed resources...
These tools work well together with sealos-skills for enhanced workflows:
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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: