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rlm-cleanup-agent

rlm-cleanup-agent is a skill for Claude Code from richfrem/agent-plugins-skills. It costs 117 tokens per session (606 once invoked), scanned A, original, MIT.

A housekeeping skill that removes outdated or orphaned entries from an RLM Summary Ledger, a record of cached file summaries.

In plain words
What is it for?
It is for previewing and cleaning stale cache entries across selected project profiles.
Why use it?
It keeps the ledger aligned with files after they are deleted, renamed, or moved, so agents do not rely on stale references.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the agent-memory plugin — 13 skills, 2 commands, 9 agents shipped together

not rated 6repo today A scan 117 tokens original MIT

Good fit It is for previewing and cleaning stale cache entries across selected project profiles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richfrem/agent-plugins-skills/rlm-cleanup-agent
View source ↗ richfrem/agent-plugins-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add richfrem/agent-plugins-skills --skill rlm-cleanup-agent
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

Made for: Claude Code.

Or install agent-memory, the plugin that ships this one along with the rest of its 13 skills, 2 commands, 9 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for rlm-cleanup-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/rlm-cleanup-agent.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/rlm-cleanup-agent)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/rlm-cleanup-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/rlm-cleanup-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 606 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.00606
Opus 5 $0.00059 $0.00303
Sonnet 5 $0.00023 $0.00121
Haiku 4.5 $0.00012 $0.00061

Measured 5d ago against content hash 6fac9903791b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

rlm-cleanup-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/cleanup_cache.py, scripts/distiller.py, scripts/inject_summary.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/agent-memory/skills/rlm-cleanup-agent/SKILL.md · 97 lines

What it actually says

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)

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

python ./scripts/cleanup_cache.py \
  --profile project --dry-run

python ./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

python ./scripts/cleanup_cache.py \
  --profile project --apply

python ./scripts/cleanup_cache.py \
  --profile tools --apply

4. Verify

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

Report the new coverage percentage.

Rules

  • Always dry-run first. Never apply without showing the user what will be deleted.
  • Never edit *_cache/*.md directly. Always use cleanup_cache.py.
  • Source Transparency Declaration: state which profiles were cleaned and how many entries removed.
Files

What ships with it

45 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 97 lines · 117 tokens per session scan A 6fac9903791b

Subscribe to this mod's changes

rlm-cleanup-agent is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed today), licensed MIT. It adds 117 tokens to every session and 606 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Memory and contextagent-skillsagentic-frameworkagentic-osclaude-code-skillclaude-pluginsclaude-skills
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