Skill

rlm-cleanup-agent

Removes stale and orphaned entries from the RLM Summary Ledger. Use after files are deleted, renamed, or moved to keep the ledger in sync with the filesystem. <example> user: "Clean up the RLM cache after I renamed some files" assistant: "I'll use rlm-cleanup-agent to remove stale entries from the ledger." </example> <example> user: "The RLM ledger has entries for files that no longer exist" assistant: "I'll run rlm-cleanup-agent to prune orphaned entries." </example>

From rlm-factory

Install

Run in your terminal

npx claudepluginhub richfrem/agent-plugins-skills --plugin rlm-factory

Tool Access

This skill is limited to using the following tools:

BashReadWrite

Supporting Assets

View in Repository

assets/diagrams/rlm_late_binding_flow.mmd

assets/diagrams/rlm_tool_enrichment_flow.mmd

evals/evals.json

evals/results.tsv

references/BLUEPRINT.md

references/RLM_ARCHITECTURE.md

references/diagrams/distillation_process.mmd

references/diagrams/logic.mmd

references/diagrams/rlm-factory-architecture.mmd

references/diagrams/rlm-factory-architecture.png

references/diagrams/rlm-factory-dual-path.mmd

references/diagrams/rlm-factory-dual-path.png

references/diagrams/rlm-factory-workflow.mmd

references/diagrams/rlm_late_binding_flow.mmd

references/diagrams/rlm_mechanism_workflow.mmd

references/diagrams/rlm_mechanism_workflow.png

references/diagrams/rlm_tool_enrichment_flow.mmd

references/diagrams/search_process.mmd

references/diagrams/unpacking.mmd

references/diagrams/workflow.mmd

Skill Content

Similar Skills

cache-components

Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.

cache-components

138.7k

claude-opus-4-5-migration

2 files

Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.

claude-opus-4-5-migration

83.2k

cost-optimization

1 file

Optimizes cloud costs on AWS, Azure, GCP via rightsizing, tagging strategies, reserved instances, spot usage, and spending analysis. Use for expense reduction and governance.

cloud-infrastructure

33.0k

Stats

Parent Repo Stars1

Parent Repo Forks1

Last CommitApr 4, 2026

Actions

View Source View Plugin View on GitHub View README

rlm-cleanup-agent

From rlm-factory

Execution Protocol

1. Confirm profiles to clean

Default: run against all configured profiles. Ask if unsure:

"Should I clean all profiles (project + tools), or a specific one?"

2. Dry run first -- show what will be removed

python3 ./scripts/cleanup_cache.py \ --profile project --dry-run python3 ./scripts/cleanup_cache.py \ --profile tools --dry-run

Report: "Found N stale entries across profiles: [list of paths]"

3. Apply -- only after confirming with the user

python3 ./scripts/cleanup_cache.py \ --profile project --apply python3 ./scripts/cleanup_cache.py \ --profile tools --apply

4. Verify

python3 ./scripts/inventory.py --profile project

Report the new coverage percentage.

Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).

RLM Cleanup Agent

Role

You remove stale and orphaned entries from the RLM Summary Ledger. An entry is stale when its file no longer exists or has moved. Running this regularly keeps the ledger accurate.

This is a write operation. Always confirm scope before running.

Prerequisites

Profile not configured? Run rlm-init skill first: SKILL.md

When to Run

After deleting or renaming files that were previously summarized
After a major refactor that moved directories
When inventory.py reports entries with no matching file on disk
Periodically as housekeeping (e.g. after a merge)