by RapierCraftStudios · Claude Skill · ★ 119
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npx forgedock
npx forgedock initTaken 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 | 119 |
| Forks | 14 |
| Language | JavaScript |
| Category | Claude Skill |
| License | AGPL-3.0 |
| Quality Score | 67/100 |
| Open Issues | 12 |
| Last Updated | 2026-10-20 |
| Created | 2026-06-04 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~16k |
ForgeDock Autonomous software development for Claude Code. ForgeDock turns every bug found, every fix shipped, and every review finding into structured context that makes the next agent smarter. It catches integration bugs that code review can't see — missing route registrations, env vars present in CI but absent in deploy, Docker permission mismatches, sibling code paths left unfixed.
These tools work well together with ForgeDock for enhanced workflows:
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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: