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Vector db audit

Skill richfrem/agent-plugins-skills/plugins/agent-memory/skills/vector-db-audit

Audit Vector DB coverage -- compares the live filesystem manifest against the ChromaDB index to identify coverage gaps.From its SKILL.md

Install
npx -y skills add richfrem/agent-plugins-skills --skill vector-db-audit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.3 KB, 249 tokens by cl100k_base, as published. Nobody here has run it

Vector DB Audit

Systematically audits the Vector Database to identify gaps between the project manifest and the actual document chunks stored in ChromaDB.

Capabilities

  • Coverage Analysis: Calculates the exact percentage of project documentation currently vectorized.
  • Gap Identification: Detects files that are included in the manifest but missing from the ChromaDB collection.
  • Exporting: Generates CSV lists of missing files for targeted batch ingestion.
  • Dynamic Configuration: Loads connection and collection settings directly from the selected profile.

Usage

Run the audit for a specific profile (e.g., wiki) to generate a coverage report and a CSV of gaps:

python scripts/audit_vector.py --profile wiki --report vector_audit.txt --csv missing_vector.csv

Protocol

  1. Identify: Run this skill to find missing content.
  2. Review: Check missing_vector.csv.
  3. Ingest: Use vector-db-ingest --profile wiki --file [path] to fill specific gaps.

Related

  • vector-db-ingest: Use to fill the gaps identified by this audit.
  • vector-db-cleanup: Use to remove orphaned chunks from the index.

What ships with it: 7 files

1.0 KB alongside SKILL.md, 3 of them executable

evals/

scripts/

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