by managedcode · Codex Skill · ★ 56
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.
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 | 56 |
| Forks | 7 |
| Language | CSS |
| Category | Codex Skill |
| License | CC-BY-4.0 |
| Quality Score | 56/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-11 |
| Created | 2025-12-01 |
| Platforms | claude-code, codex, gemini |
| Est. Tokens | ~19k |
MCAF Concepts Managed Code Coding AI Framework Developed and sustained by Managed Code March 2026 What MCAF Is MCAF is a framework for building real software with AI coding agents. It defines how to: keep durable engineering context in the repository make AI work from plus repo-native docs and skills verify behaviour with tests and static analysis keep AI guidance small, explicit, and versioned...
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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: