rag-data-exposure-audit
De la autor
Assesses document authorization, tenant isolation, raw-chunk fields, citations, caches, exports, and sensitive-source leakage in retrieval systems. Use when an authorized RAG assessment must determine what data each identity can retrieve or disclose.
Instalare
npx skills add zero-lab-ai/skills --skill rag-data-exposure-audit -a claude-code
Se instalează în .claude/skills/rag-data-exposure-audit/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 85
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- rag-surface-reconzero-lab-ai/skillsMaps an authorized retrieval system's sources, connectors, chunking, embeddings, indexes, filters, ranking, caches, citations, and exposed retrieval fields. Use when scoping a RAG security assessment or explaining observed retrieval behavior.Securitate★ 281
- rag-evalagentscope-ai/OpenJudgeUse when the user has a RAG (Retrieval-Augmented Generation) system and wants to evaluate its quality — separating retrieval issues from generation issues. Also use when the user mentions RAG evaluation, faithfulness checking, hallucination detection in RAG, retrieval quality, chunking optimization, or "is my RAG pipeline working." Outputs a diagnostic matrix that pinpoints whether problems are in retrieval or generation.Altele★ 888
- retrieval-integrity-assessmentzero-lab-ai/skillsAssesses whether an authorized retrieval-augmented AI system preserves source, index, retrieval, context, and output integrity. Use when testing RAG poisoning, retrieval hijacking, context saturation, semantic substitution, or citation controls with benign canaries.Testare★ 281
- credential-exposure-auditzero-lab-ai/skillsAudits supplied evidence when passwords, hashes, private keys, browser or vault entries, cloud CLI credentials, application secrets, tokens, or credential-bearing artifacts may be exposed. Use for defensive review that must distinguish indicators from material and validity from privilege without decrypting, cracking, replaying, or authenticating.Browser★ 281
- ragskillmds/skillmdImplements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.Altele★ 190
- econ-auditbrycewang-stanford/Auto-Empirical-Research-SkillsAudit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across core categories including counterfactual, additionality, discounting, double counting, distributional analysis, Aqua Book RIGOUR, and Flyvbjerg-style strategic misrepresentation detection. Returns a RAG scorecard with issues ranked by severity.Știință★ 4.8K
Note și recenzii
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