Rlm audit
Skill richfrem/agent-plugins-skills/plugins/agent-memory/skills/rlm-audit
Audit RLM cache coverage - compare manifest against filesystemFrom its SKILL.md
npx -y skills add richfrem/agent-plugins-skills --skill rlm-auditAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 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
1.1 KB, 187 tokens by cl100k_base, as published. Nobody here has run it
rlm-audit
Purpose
Systematically audit the RLM (Recursive Language Model) semantic cache to identify gaps between the project manifest and the actual summary files stored on disk.
Capabilities
- Coverage Analysis: Calculates the percentage of project documentation currently summarized.
- Gap Identification: Detects files that are included in the manifest but missing from the cache.
- Exporting: Generates CSV lists of missing files for batch processing.
- Validation: Ensures the cache directory structure mirrors the source repository.
Usage
Run the audit for a specific profile to see what's missing:
python scripts/audit_cache.py --profile wiki --report audit_report.txt --csv missing_files.csv
Related
- rlm-distill-agent: Use to fill the gaps identified by this audit.
- rlm-cleanup-agent: Use to remove stale entries from the cache.
What ships with it: 4 files
972 B alongside SKILL.md, 2 of them executable
evals/
- evals.json877 B
- results.tsv34 B
scripts/
- audit_cache.pyruns31 B
- rlm_config.pyruns30 B