by shep-ai · Agent Tool · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @shepai/cli # try it instantly — opens the dashboard at localhost:4050
npm i -g @shepai/cli # or install globallyTaken 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 | 74 |
| Forks | 6 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 29 |
| Last Updated | 2026-03-29 |
| Created | 2026-02-01 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~4038k |
Run a fleet of coding agents. Merge real PRs. Shep is the open-source orchestrator for the autonomous development cycle. It runs parallel AI agents — Claude Code, Cursor CLI, Gemini CLI, or any agent CLI — each in its own isolated git worktree, and drives every feature from a one-line description through optional spec gates, implementation, commit, push, CI watching with auto-fix, and a draft...
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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: