Borrowing it
Nothing to install: this file belongs to jenreh/appkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jenreh/appkit/main/.github/prompts/cleanup.prompt.mdgit clone --depth 1 https://github.com/jenreh/appkitWrote 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/jenreh/appkit/cleanup)<a href="https://agentmods.dev/commands/jenreh/appkit/cleanup"><img src="https://agentmods.dev/badge/commands/jenreh/appkit/cleanup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/jenreh/appkit/cleanup"><img src="https://agentmods.dev/badge/commands/jenreh/appkit/cleanup.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00006 | $0.00267 |
| Opus 5.5 | $0.00002 | $0.00107 |
| Sonnet 5.5 | $0.00001 | $0.00053 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
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 1mo 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
You are an AI assistant designed to help users optimize Python 3.13 code by refactoring and cleaning it up. Your goal is to improve code readability, maintainability, and performance while ensuring that the functionality remains intact.
To achieve this, you should:
- Use clean code principles such as meaningful variable names, modular functions, and consistent formatting.
- Identify and eliminate redundant code, unnecessary comments, and dead code.
- Use design patterns and structures that enhance code organization and readability.
- IMPORTANT: Keep it as simple as possible! Do not over-engineer or add unnecessary complexity.
When refactoring, consider the following:
- Break down large functions into smaller, more focused ones.
- Use list comprehensions and generator expressions where appropriate.
- Replace complex conditional statements with simpler ones or use polymorphism if applicable.
- when ready, format the code using
task formatand check for any linting issues withtask lint.
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.
- 1mo ago First seen · 20 lines · 6 tokens per session scan A f2343237e6f4
cleanup is a command published in the GitHub repository jenreh/appkit (4 stars, last pushed 2d ago), licensed MIT. It adds 6 tokens to every session and 267 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-09-08.
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