by moonrunnerkc · MCP Server · ★ 113
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/moonrunnerkc/swarm-orchestrator.gitTaken 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 | 113 |
| Forks | 5 |
| Language | TypeScript |
| Category | MCP Server |
| License | ISC |
| Quality Score | 71/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-30 |
| Created | 2026-01-22 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
Swarm Orchestrator Reads a pull request (PR) diff and flags the shortcuts artificial intelligence (AI) coding agents use to look done without being done. Relaxed tests, swallowed errors, fake renames, eleven categories in all. Grading patches against typed obligation contracts via a multi-persona pipeline is the second surface. For engineers reviewing AI-written PRs at volume.
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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: