by qdrant · Codex Skill · ★ 261
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npx skills add qdrant/skills
/plugin marketplace add qdrant/skillsTaken 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 | 261 |
| Forks | 31 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 73/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-22 |
| Created | 2026-01-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
Qdrant Skills - Agent Skills for Qdrant Vector Search Agent skills for building with Qdrant vector search Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model migration, and more. Philosophy Skills are not documentation.
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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: