by TopiCsarno · Codex Skill · ★ 50
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git clone https://github.com/TopiCsarno/yapcapTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 50 |
| Forks | 8 |
| Language | Rust |
| Category | Codex Skill |
| Quality Score | 69/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-21 |
| Created | 2026-04-11 |
| Platforms | claude-code, codex, rust |
| Est. Tokens | ~24k |
YapCap A native COSMIC panel applet that tracks AI coding quota for Codex, Claude Code, Cursor, Gemini, and GitHub Copilot. Report a bug What it does YapCap lives in your COSMIC panel and shows how much of your AI coding quota you've used — without sending anything to a third party. All data is fetched directly from provider APIs using accounts you add in YapCap.
These tools work well together with yapcap 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: