by askalf · Codex Skill · ★ 584
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @askalf/darioTaken from the project's README on GitHub. Check the security audit before running it.
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 | 584 |
| Forks | 78 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 2 |
| Last Updated | 2026-11-07 |
| Created | 2026-04-08 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~25k |
dario A local LLM router. One endpoint, every provider.Runs on your machine. Unifies OpenAI, Groq, OpenRouter, Ollama, vLLM, LiteLLM, any OpenAI-compat URL, and your Claude Max subscription (via OAuth) behind one endpoint at http://localhost:3456. Speaks both the Anthropic Messages API and the OpenAI Chat Completions API, so your tools stop caring which vendor is upstream.
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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: