by jigjoy-ai · Agent Tool · ★ 126
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npm install -g baro-aiTaken 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 | 126 |
| Forks | 10 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-28 |
| Created | 2026-03-22 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~17k |
baro Type a goal in your repo. Walk away. Come back to a pull request. baro TUI at the end of an actual run — one prompt → 33-story DAG → 32 files modified → PR opened. The summary panel shows wall time (33:23), parallel speedup (2.2×), token usage, and the PR URL.
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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: