by Bino5150 · Codex Skill · ★ 192
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git clone https://github.com/bino5150/lumina.gitTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 192 |
| Forks | 25 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 56/100 |
| Open Issues | 2 |
| Last Updated | 2026-11-12 |
| Created | 2026-06-12 |
| Platforms | python |
| Est. Tokens | ~18k |
Lumina A full featured, powerful, and efficient local-first AI Agentic Harness/Desktop Agent app designed from the ground up with local inference on consumer hardware in mind. It evolves, adapts, grows, and gets smarter as you go. And it REMEMBERS... Full manual: docs/.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: