by samzong · Codex Skill · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install samzong/tap/recallTaken from the project's README on GitHub.
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 | 109 |
| Forks | 14 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 24 |
| Last Updated | 2026-11-06 |
| Created | 2026-04-09 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~23k |
Recall Local-first search across every AI coding session on your machine. Jump between Claude Code, Codex, and whatever comes next; Recall pulls those scattered local sessions into one searchable index, tracks usage when token metadata is available, and drops you back into the original CLI. Install Support One index across every AI coding CLI.
These tools work well together with Recall 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: