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 PrefectHQ · Claude Skill · ★ 121
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is colin safe to install? View the security audit →
Colin A context engine that keeps agent skills fresh. Colin is a context engine. Write templates that reference live sources—GitHub, Linear, Notion, HTTP endpoints—and other documents. Colin compiles them, tracks dependencies, and rebuilds only what's stale. Run . Colin fetches the Linear issues, resolves the reference to your weekly notes, extracts blockers via LLM, and writes the compiled skill. Run it again tomorrow—if nothing changed upstream, nothing rebuilds. The ensures time-sensitive content stays fresh. Install Documentation Full documentation at colin.prefect.io. Quick Start The fastest way to get started is with the quickstart blueprint, which builds a skill from Colin's own documentation: The compiled skill contains the Colin quickstart—pulled
| Stars | 121 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 67.1083305509283/100 |
| Open Issues | 35 |
| Last Updated | 2026-08-05 |
| Created | 2025-12-28 |
| Platforms | claude-code, python |
| Est. Tokens | ~410k |
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colin is A context engine that treats skills as software.. It is categorized as a Claude Skill with 121 GitHub stars.
colin is primarily written in Python. It covers topics such as agent, agent-skills, claude.
You can find installation instructions and usage details in the colin GitHub repository at github.com/PrefectHQ/colin. The project has 121 stars and 7 forks, indicating an active community.
The top alternatives to colin on Agent Skills Hub include skillport, tutor-skills, awesome-ai-agent-skills. 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: