Borrowing it
Nothing to install: this file belongs to gotgenes/pi-anthropic-auth. 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/gotgenes/pi-anthropic-auth/main/.pi/skills/tidy-first/SKILL.mdgit clone --depth 1 https://github.com/gotgenes/pi-anthropic-authWrote 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/gotgenes/pi-anthropic-auth/tidy-first)<a href="https://agentmods.dev/skills/gotgenes/pi-anthropic-auth/tidy-first"><img src="https://agentmods.dev/badge/skills/gotgenes/pi-anthropic-auth/tidy-first/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/gotgenes/pi-anthropic-auth/tidy-first"><img src="https://agentmods.dev/badge/skills/gotgenes/pi-anthropic-auth/tidy-first.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 | $0.00044 | $0.01088 |
| Opus 5.5 | $0.00018 | $0.00435 |
| Sonnet 5.5 | $0.00009 | $0.00218 |
| Haiku 4.5 | $0.00004 | $0.00109 |
Grade A, and why
tidy-first 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: tidy-first
Load this skill during planning — after the design is settled (the Decide step) and before the plan is written.
It encodes Kent Beck's Tidy First: make the change easy (with small preparatory refactors landed first), then make the easy change.
The assessment runs in a subagent so the many-files read does not consume the planning agent's context.
Planning is the right moment because the plan is the artifact that must absorb the answer. An assessment that arrives at implementation time can only contradict a frozen plan; one that arrives here reshapes the TDD Order before anything is committed to.
Applicability gate
Dispatch the assessor when the plan will create or modify src/ or test/ files.
Skip for a docs-only or config-only plan — there is nothing to prepare.
Note the skip and proceed to writing the plan.
Step 1: Gather the target files
From the settled design, list the src//test/ files the change will modify or create — the same list you are about to write into the plan's "Module-Level Changes".
The plan does not exist on disk yet, so this list is the assessor's primary input, not a file path.
Add every test that drives the seam the change rewires, even when the design edits none of them — a composition-root or entry-point test breaks on a wiring change that never touches its file.
Step 2: Dispatch the assessor
Dispatch the tidy-first-assessor subagent via the subagent tool:
subagent_type:"tidy-first-assessor"description:"Tidy-First assessment for issue #N"prompt: include the issue number, the target-files list from Step 1, the symbols the design alters (each as<file>:<symbol>, for the assessor's consumer trace), and a design summary — 5–15 lines stating what each target file gains, loses, or changes, and roughly where in the file it lands.
The design summary carries the weight the written plan used to carry, so write it concretely: "adds a third branch to resolveScope() in src/scope.ts (currently 40 lines)" tells the assessor where the friction is; "updates scope resolution" does not.
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 Changed · +9 lines · -22 tokens per session 41992b654dcd
- 2mo ago First seen · 56 lines · 66 tokens per session scan A e0830894d736
tidy-first is a skill published in the GitHub repository gotgenes/pi-anthropic-auth (426 stars, last pushed 13d ago), licensed MIT. It adds 44 tokens to every session and 1,088 once invoked, about $0.0002 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.
Other skills, from other repositories
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Review prose written for others (e.g., user-facing documentation, prompts for other LLMs, reports, plans, inline comments, docstrings) for local jargon leakage, orphaned references, missing grounding, and audience or genre mismatch. Always run on prose you produce or materially edit, except for routine conversational…
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