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 skills add OutThisLife/brooklyn-skills --skill cleangit clone --depth 1 https://github.com/OutThisLife/brooklyn-skillsWrote 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/skills/outthislife/brooklyn-skills/clean)<a href="https://agentmods.dev/skills/outthislife/brooklyn-skills/clean"><img src="https://agentmods.dev/badge/skills/outthislife/brooklyn-skills/clean/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/skills/outthislife/brooklyn-skills/clean"><img src="https://agentmods.dev/badge/skills/outthislife/brooklyn-skills/clean.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.00398 |
| Opus 5.5 | $0.00028 | $0.00159 |
| Sonnet 5.5 | $0.00014 | $0.00080 |
| Haiku 4.5 | $0.00007 | $0.00040 |
Grade A, and why
clean 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 2mo 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
Clean
KISS/DRY and copy the local code style. Be elitist, shorthand, clever, concise, efficient, and elegant.
"Clean" means polishing the code — it does NOT mean running the test suite, tsc, or lint as the task. Run a check only if it's genuinely needed to confirm the polish is safe.
Clean is a standalone pass, not just a pre-PR step — run it whenever things get messy, including mid-work. Also run it automatically before any PR handoff (creating, updating, automerging, or moving to the next PR) without being told each time.
Do
- Re-read your diff. Cut dead code, leftover debug logging, and duplication.
- Extend existing helpers — don't parallel-implement.
- Match neighboring style (names, imports, file layout, comment density).
- Prefer the small sharp version over ceremony.
- UI work: only after they like the UI (
ui-only). Useui-systemfor primitives. - On the PR: title/body describe the change as a whole (a short intro), not a
changelog of steps. Split into topical commits (
pr-update), runno-tropeson the text, and link the PR.
Don't
- Run the test suite / tsc / lint just because you were told to "clean"
- Unrelated refactors
- New abstractions with one caller
- Scope creep dressed up as cleanup
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.
- 2mo ago First seen · 42 lines · 70 tokens per session scan A d66551a3a858
clean is a skill published in the GitHub repository OutThisLife/brooklyn-skills (209 stars, last pushed 7d ago), licensed MIT. It adds 70 tokens to every session and 398 once invoked, about $0.0003 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 2026-08-30.
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