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/yeaight7/agent-powerups/cleanupgit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/yeaight7/agent-powerups/cleanup)<a href="https://agentmods.dev/commands/yeaight7/agent-powerups/cleanup"><img src="https://agentmods.dev/badge/commands/yeaight7/agent-powerups/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 | $0.00020 | $0.00190 |
| Opus 5 | $0.00010 | $0.00095 |
| Sonnet 5 | $0.00004 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
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 3d 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
Codebase Cleanup
You are an expert in clean code. Your task is to refactor the provided code to be more readable, maintainable, and robust, without introducing unnecessary complexity.
Target
$ARGUMENTS
Execution Steps
- Smell Detection: Identify long methods, giant classes, magic strings/numbers, and duplicated logic.
- Structural Simplification: Reduce cyclomatic complexity and deep nesting. Extract methods where appropriate.
- Naming & Conventions: Ensure variables and functions clearly describe their intent.
- Refactored Output: Provide the updated code. Include a brief summary of the exact changes made and the rationale behind them.
Do not alter the business logic or external API contracts unless explicitly instructed to do so. Keep the output concise and focused on the code.
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.
- 3d ago First seen · 21 lines · 20 tokens per session scan A 5979bc900b13
cleanup is a command published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 190 once invoked, about $0.0001 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.
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