retrieval-integrity-assessment
De la autor
Assesses 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.
Instalare
npx skills add zero-lab-ai/skills --skill retrieval-integrity-assessment -a claude-code
Se instalează în .claude/skills/retrieval-integrity-assessment/ · 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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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-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
- dataset-integrity-assessmentzero-lab-ai/skillsAudits dataset sources, labels, transformations, review, versioning, split integrity, retraining triggers, and rollback controls for poisoning and targeted degradation risk. Use when reviewing an ML training or evaluation data supply chain.Inginerie★ 281
- rag-data-exposure-auditzero-lab-ai/skillsAssesses 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.Altele★ 281
- prompt-injection-assessmentzero-lab-ai/skillsAssesses whether direct, indirect, multi-turn, retrieved, or tool-mediated instructions can override an AI system's intended policy or scope. Use when conducting an authorized prompt-injection test with benign canaries and evidence-bound outcomes.Testare★ 281
- 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
- agent-runtime-validationzero-lab-ai/skillsPlans and evaluates bounded runtime tests of AI agents, tools, memory, hooks, approvals, and scope enforcement. Use when static review is complete and an authorized assessment must determine how the deployed agent actually behaves.Testare★ 281
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