by OoriData · Agent Tool · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install toolio
pip install -U toolio[tools]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 | 139 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 69/100 |
| Open Issues | 8 |
| Last Updated | 2026-02-27 |
| Created | 2024-06-20 |
| Platforms | cli, python |
| Est. Tokens | ~78k |
♪ Come along and ride on a fantastic voyage 🎵, with AI riding shotgun seat and a flatbed full of tools. Toolio is an OpenAI-like HTTP server API implementation which supports structured LLM response generation (e.g. make it conform to a JSON schema). It also implements tool calling by LLMs. Toolio is based on the MLX framework for Apple Silicon (e.g.
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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: