by pacocartones · Agent Tool · ★ 104
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. 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 | 104 |
| Forks | 48 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 56 |
| Last Updated | 2026-10-20 |
| Created | 2026-07-11 |
| Platforms | gemini, node |
| Est. Tokens | ~19k |
A continuously-verified dataset of free LLM & AI-model APIs you can build on. Free LLM APIs plus adjacent model APIs — image, speech, embeddings, rerank and OCR. Free tiers, trial credits and no-cost quotas, every entry dated, sourced, and machine-readable. No hype, no dead links, no "generous limits" hand-waving. Just what's actually free, and the fine print that bites.
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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: