by aws-samples · Agent Tool · ★ 224
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Featured in: Knowledge Base & RAG
git clone https://github.com/aws-samples/serverless-rag-demo.gitTaken 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 | 224 |
| Forks | 71 |
| Language | Python |
| Category | Agent Tool |
| License | MIT-0 |
| Quality Score | 67/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-07 |
| Created | 2023-08-23 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
Serverless RAG Demo v2 Scalable RAG and Multi-Agent workflows powered by Amazon Bedrock, OpenSearch Serverless NextGen, and Bedrock AgentCore. Features Document Chat — Upload documents, ask questions with hybrid search (BM25 + KNN), per-user document isolation Multi-Agent — Strands Graph orchestrator with specialist nodes: code generation, presentations, web search, weather, retrieval...
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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: