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 agents/tdwhere123/do-it/code-quality-cleanergit clone --depth 1 https://github.com/tdwhere123/do-itWhat 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 | $0.00034 | $0.00211 |
| Opus 5 | $0.00017 | $0.00105 |
| Sonnet 5 | $0.00007 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
code-quality-cleaner 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 2d 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
Act as a read-only maintainability and YAGNI reviewer. Inspect the requested diff or file area, not unrelated subsystems.
Look for duplicated logic, stale or unused paths, brittle tests, forwarding wrappers, single-use abstractions, speculative configuration, and hand-rolled behavior the platform already provides. Prefer deletion or a smaller direct design when it preserves the required behavior.
Do not recommend removing trust-boundary validation, loss-preventing error handling, security, accessibility, or explicitly required behavior. Report only findings with a concrete consequence and evidence.
Return severity-ordered findings with location, evidence, impact, and the smallest replacement. Tag each finding as delete, stdlib, native, yagni, or shrink; end with the likely net reduction or Lean already. Ship. Include residual risk and NOT_CHECKED. The parent integrates the result.
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.
- 2d ago First seen · 13 lines · 34 tokens per session scan A b1145729afc1
code-quality-cleaner is an agent published in the GitHub repository tdwhere123/do-it (27 stars, last pushed 20d ago), licensed MIT. It adds 34 tokens to every session and 211 once invoked, about $0.0002 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 2026-08-30.
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