by doodledood · Claude Skill · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add doodledood/manifest-dev --skill figure-out
/plugin marketplace add doodledood/manifest-devTaken 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 | 78 |
| Forks | 10 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71/100 |
| Last Updated | 2026-11-07 |
| Created | 2026-01-27 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
manifest-dev Your agent builds the wrong thing, confidently. Not broken code — wrong code. It compiles. The tests pass. And it solves a problem you don't have, because the agent started typing before it understood what you meant. is the pushback. An adversarial thinking partner. It digs through your codebase on its own and presses on the question that decides the work.
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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: