by angristan · Codex Skill · ★ 190
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install fast-resume
uvx --from fast-resume fr
Taken 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 | 190 |
| Forks | 27 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 75/100 |
| Open Issues | 20 |
| Last Updated | 2026-11-06 |
| Created | 2025-12-19 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~27k |
fast-resume Search and resume conversations across Claude Code, Codex, and more, all from a single place. Why fast-resume? Coding agents are really good right now, so I'm using a bunch of them. Sometimes I remember I, or the LLM, mentioned something specific in a previous session, and I want to go back to it.
These tools work well together with fast-resume 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: