by AaravKashyap12 · Claude Skill · ★ 287
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills@latest add AaravKashyap12/advise-project-approach --skill advise-project-approach
npx skills@latest add AaravKashyap12/advise-project-approach --listTaken 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 | 287 |
| Forks | 27 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-08-30 |
| Created | 2026-05-28 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
advise-project-approach A portable AI workflow that researches the best way to build your project before you commit to the wrong stack, vendor, or cost model. You know that friend who has built fifteen projects, read every ADR ever written, and will tell you "actually, don't use Kafka for this" before you have even opened your editor? This is that friend. As a skill-shaped workflow.
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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: