by Neeeophytee · Claude Skill · ★ 339
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Featured in: Claude Code Skills
/plugin marketplace add Neeeophytee/finding-unknowns-skills
/plugin install finding-unknowns@finding-unknowns-skillsTaken 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 | 339 |
| Forks | 27 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-09-28 |
| Created | 2026-07-05 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~13k |
Finding-Unknowns Skills 8 installable skills that make Claude help you find what you don't know — before it gets expensive to fix. The map is not the territory. Your prompt is a map; the codebase and the real world are the territory. The gap between them is your unknowns, and with strong models the quality of the work is bottlenecked by how well you clarify them.
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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: