by arimxyer · Codex Skill · ★ 416
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install models
cargo install modelsdevTaken 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 | 416 |
| Forks | 17 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-08 |
| Created | 2026-01-08 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~2597k |
TUI and CLI for browsing AI models, benchmarks, coding agents, and provider statuses. Highlights 4,000+ models across 85+ providers from models.dev — filter by capability, price, context, and provider category 1,000 benchmark entries across 4 data sources — Artificial Analysis, Epoch AI, Arena, and LLM Stats — compare models head-to-head with scatter plots and radar charts 11+ coding agents...
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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: