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 commands/penwyp/claudepreference/m-project-cleanupgit clone --depth 1 https://github.com/penwyp/ClaudePreferenceWrote 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/commands/penwyp/claudepreference/m-project-cleanup)<a href="https://agentmods.dev/commands/penwyp/claudepreference/m-project-cleanup"><img src="https://agentmods.dev/badge/commands/penwyp/claudepreference/m-project-cleanup.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 | $0.00000 | $0.00212 |
| Opus 5 | $0.00000 | $0.00106 |
| Sonnet 5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
m-project-cleanup 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.
What it actually says
Automated Project Hygiene Workflow
Cleanup Scope: $ARGUMENTS
If no scope is specified, a comprehensive cleanup of the entire project is performed by default.
Supported scopes: code, dependencies, structure, artifacts, config, all.
Example: "dependencies code"
Commands:
-
Dead Code Elimination - Analyze the codebase to identify and safely remove unused functions, classes, variables, and imports.
-
Dependency Pruning & Update - Scan dependency files (e.g.,
package.json,go.mod) to find and remove unused packages and suggest updates for outdated ones. -
Codebase Formatting & Linting - Apply standard formatters and linters across the project to enforce consistent coding style.
-
Structural Reorganization - Analyze and reorganize files and directories based on best practices to improve project clarity and maintainability.
-
Artifact & Cache Clearing - Delete temporary build artifacts, logs, and cache files to reduce project size and avoid conflicts.
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 · 19 lines · 0 tokens per session scan A a66438698086
m-project-cleanup is a command published in the GitHub repository penwyp/ClaudePreference (137 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 212 tokens. 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 2026-08-30.
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converge
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