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.
npx agentmods add instructions/arr-mcps/cleanuparr-mcp/agents-mdgit clone --depth 1 https://github.com/arr-mcps/cleanuparr-mcpWrote 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.
[](https://agentmods.dev/instructions/arr-mcps/cleanuparr-mcp/agents-md)<a href="https://agentmods.dev/instructions/arr-mcps/cleanuparr-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/arr-mcps/cleanuparr-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01282 | $0.01282 |
| Opus 5 | $0.00641 | $0.00641 |
| Sonnet 5 | $0.00256 | $0.00256 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
cleanuparr-mcp AGENTS.md 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 4d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — cleanuparr-mcp
MCP server exposing Cleanuparr's REST API as tools for inspecting status, history, statistics, jobs, and configuration. Uses FastMCP, uv for deps.
Exposed as 8 resource-scoped portmanteau tools, not one tool per endpoint — see "Portmanteau registration" below. A prior version registered all 84 endpoints individually; that blew the MCP context budget (~84 tools × ~250 tokens ≈ 21k tokens just for this one server) and has been retired.
Testing
- Offline suite:
make test(oruv run pytest) - Live integration (needs
CLEANUPARR_URL/CLEANUPARR_API_KEY):make test-integration tests/test_tools.pyhas two layers: ~40 hand-written assertions on exact request shape (method/path/body/query) for a subset of operations, plustest_every_tool_is_callable— a generic, introspection-driven smoke test that calls every operation with type-appropriate dummy args and confirms it makes some well-formed HTTP request. The smoke test exists because only ~38/84 endpoints had ever been individually verified; rather than guess at Cleanuparr's DTO shapes for the rest, it gives real execution coverage of the URL-templating/body-marshaling code paths without asserting values this repo can't independently verify.
Release workflow
Always use the make bump-* targets to bump the version (uv version --bump patch|minor|major), which updates pyproject.toml and uv.lock together. Do NOT edit the version by hand.
- Bump:
make bump-patch(orbump-minor/bump-major) - Commit message is just the version, e.g.
0.1.2— nothing else. - Tag it
v<version>(e.g.v0.1.2). - Push main and the tag:
git push origin main git push origin v<version> - Then sync the project copy:
cd /home/savagecore/Documents/christopfarr/mcp/cleanuparr-mcp git fetch origin && git reset --hard origin/main - Deploy to the Proxmox host (root SSH key): pull the repo then reinstall the uv tool:
The host runs it viassh [email protected] -- 'cd /root/cleanuparr-mcp && git fetch origin && git reset --hard origin/main' ssh [email protected] -- 'cd /root/cleanuparr-mcp && uv tool install --force .'uv tool install→/root/.local/bin/cleanuparr-mcp(not from the repo).
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.
- 4d ago First seen · 46 lines · 1,282 tokens per session scan A 891ae151d23b
cleanuparr-mcp AGENTS.md is an instructions file published in the GitHub repository arr-mcps/cleanuparr-mcp (0 stars, last pushed 10d ago), licensed MIT. It adds 1,282 tokens to every session, about $0.0064 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.