by coleam00 · Agent Tool · ★ 727
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add coleam00/skills
/plugin install skills@cole-medinTaken 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 | 727 |
| Forks | 190 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 10 |
| Last Updated | 2026-11-02 |
| Created | 2026-08-04 |
| Platforms | python |
| Est. Tokens | ~16k |
Cole's AI Skills The skills I actually use to build software with coding agents. Straight out of my folder. What this is A skill is a folder with a in it: a name, a description of when to use it, and the procedure the agent should follow. Your agent loads the description at startup and pulls in the full skill only when the work matches.
These tools work well together with 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: