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 ashrust/lets-start-skill --skill tidy-codegit clone --depth 1 https://github.com/ashrust/lets-start-skillWrote 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/ashrust/lets-start-skill/tidy-code)<a href="https://agentmods.dev/skills/ashrust/lets-start-skill/tidy-code"><img src="https://agentmods.dev/badge/skills/ashrust/lets-start-skill/tidy-code/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/ashrust/lets-start-skill/tidy-code"><img src="https://agentmods.dev/badge/skills/ashrust/lets-start-skill/tidy-code.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 | $0.00157 | $0.02377 |
| Opus 5.5 | $0.00063 | $0.00951 |
| Sonnet 5.5 | $0.00031 | $0.00475 |
| Haiku 4.5 | $0.00016 | $0.00238 |
Grade A, and why
tidy-code 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/comments.md 5.7 KB
- references/dimensions.md 6.4 KB
- references/keep-or-remove.md 4.5 KB
- references/log-template.md 3.7 KB
- scripts/commit-dimension.sh 1.1 KB runs code
- scripts/detect-stack.sh 3.5 KB runs code
- scripts/init-tidy-branch.sh 2.2 KB runs code
- scripts/run-detectors.sh 4.7 KB runs code
- scripts/verify.sh 2.6 KB runs 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.
- 2mo ago First seen · 146 lines · 157 tokens per session scan A fd4d2a27e615
tidy-code is a skill published in the GitHub repository ashrust/lets-start-skill (5 stars, last pushed 5mo ago), with no licence file. It adds 157 tokens to every session and 2,377 once invoked, about $0.0006 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 2026-08-31.
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Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…
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