by dmitryryabkov · Agent Tool · ★ 70
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.
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 | 70 |
| Forks | 5 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-13 |
| Created | 2026-04-02 |
| Platforms | claude-code |
| Est. Tokens | ~23k |
Running (and coding with) Local AI on a Mac This is a comprehensive guide on how to run AI models and coding agents locally on a Mac. I gathered various bits and pieces of information scattered across the internet into a single resource. If you have a spare Mac lying around, you can turn it into an “LLM server” and use it instead of paying for OpenAI, Claude, etc.
These tools work well together with local-ai-mac for enhanced workflows:
Looking for a local-ai-mac alternative? If you're comparing local-ai-mac with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: