rlm-audit

Name: rlm-audit
Availability: InStock
Author: richfrem

Audits RLM semantic cache coverage against project manifest and exports CSV reports.

5|3|Updated Feb 21, 2026

Search Tags:#validation #audit #cache #manifest #csv #gap-analysis #rlm

Ready to run

npx skills add https://github.com/richfrem/agent-plugins-skills --skill rlm-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rlm-audit
Source: https://github.com/richfrem/agent-plugins-skills/tree/main/plugins/rlm-factory/skills/rlm-audit
Command: npx skills add https://github.com/richfrem/agent-plugins-skills --skill rlm-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Audit the RLM semantic cache to verify coverage against the project manifest, helping teams detect missing or extra cached entries.

Core Features & Use Cases

Coverage analysis: measures how much of the manifest is represented in the cache.
Gap identification: lists files present in the manifest but missing from the cache.
Exporting: produces CSV reports for batch remediation.
Validation: ensures the cache directory structure mirrors the source repository.

Quick Start

Run the audit_cache script for a profile to generate a report of missing or mismatched cache entries.

Frequently Asked Questions about rlm-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find missing files in my semantic cache compared to a project manifest?▼

To find missing files in a semantic cache, run an audit script that compares cache entries against a project manifest to identify coverage gaps. It validates the directory structure and lists files present in the manifest but missing from the cache.

How do I export cache coverage gaps to a CSV file for remediation?▼

You can export cache coverage gaps to a CSV file by running the Python-based CLI audit tool. It generates a CSV report detailing missing or mismatched cache entries for batch remediation across different project profiles.

What is RLM semantic cache coverage analysis?▼

RLM semantic cache coverage analysis measures how much of a project manifest is represented in the on-disk cache. It detects missing or extra cached entries and validates that the cache directory structure mirrors the source repository.

Can I audit an on-disk cache across multiple project profiles?▼

Yes, you can audit an on-disk semantic cache across multiple project profiles. The audit tool applies the manifest comparison to each profile, generating separate gap analysis findings for remediation.

Does the cache audit validate if the directory structure mirrors the source repository?▼

Yes, the cache audit includes directory-structure validation to ensure the on-disk semantic cache accurately mirrors the source repository. This validation prevents structural mismatches from causing false coverage gap detections.