Knowledge Retrieval Pipeline Review
Use when reviewing document ingestion, parsing, chunking, metadata, deduplication, embeddings, vector stores, retrieval quality, citations, or stale RAG/search indexes.
Install
$ agentstack add skill-jukrap-ai-agent-playbook-knowledge-retrieval-pipeline-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jukrap-ai-agent-playbook-knowledge-retrieval-pipeline-review) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Knowledge Retrieval Pipeline Review
Use this as the primary data skill for document ingestion, retrieval pipelines, RAG/search indexes, and citation handoff.
Workflow
- Identify source documents, access control, parsing, chunking, metadata, deduplication, freshness, embedding/index boundary, and retrieval consumers.
- Check source provenance, private content handling, invalidation, stale chunks, permissions, evaluation set, citation behavior, and fallback states.
- Keep embedding/vector providers optional and disabled by default unless privacy, cost, and invalidation rules are explicit.
- Verify with source inventory, sampled chunks, retrieval tests, citation checks, access-control checks, and stale-index handling when possible.
Reference
Read references/document-ingestion-and-chunking.md for source loading, parsing, chunking, metadata, and dedup checks.
Read references/retrieval-evaluation-and-safety.md for retrieval evaluation, citations, permissions, stale indexes, and provider boundaries.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jukrap
- Source: jukrap/ai-agent-playbook
- License: MIT
- Homepage: https://www.npmjs.com/package/ai-agent-playbook
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.