Borrowing it
Nothing to install: this file belongs to morodomi/tdd-skills. 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/morodomi/tdd-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/morodomi/tdd-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/instructions/morodomi/tdd-skills/claude-md)<a href="https://agentmods.dev/instructions/morodomi/tdd-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/morodomi/tdd-skills/claude-md/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/instructions/morodomi/tdd-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/morodomi/tdd-skills/claude-md.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 | $0.01405 | $0.01405 |
| Opus 5 | $0.00702 | $0.00702 |
| Sonnet 5 | $0.00281 | $0.00281 |
| Haiku 4.5 | $0.00140 | $0.00140 |
Grade A, and why
tdd-skills CLAUDE.md 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 9d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClaudeSkills
Claude Codeを使った開発における厳格なTDDワークフローを実現するフレームワーク。
Tech Stack
- 配布形式: Claude Code Plugins, Bash scripts
- 対象言語: PHP, Python, TypeScript, JavaScript, Flutter, Hugo
- 品質ツール: PHPStan, PHPUnit/Pest, pytest, mypy, Black, ESLint, Jest
Project Structure
tdd-skills/
├── plugins/ # Claude Code Plugins
│ ├── tdd-core/ # TDD 7フェーズワークフロー + エージェント
│ │ ├── agents/ # green-worker, red-worker, reviewers
│ │ └── skills/ # tdd-init, tdd-plan, tdd-red, etc.
│ ├── tdd-php/ # PHP (PHPStan, Pint, PHPUnit)
│ ├── tdd-laravel/ # Laravel (Larastan, Pest)
│ ├── tdd-wordpress/ # WordPress (phpstan-wordpress, WPCS)
│ ├── tdd-python/ # Python (pytest, mypy, Black)
│ ├── tdd-flask/ # Flask (pytest-flask)
│ ├── tdd-ts/ # TypeScript (tsc, ESLint, Jest)
│ ├── tdd-js/ # JavaScript (ESLint, Prettier, Jest)
│ ├── tdd-hugo/ # Hugo SSG (hugo build, htmltest)
│ └── tdd-flutter/ # Flutter (dart analyze, flutter test)
├── .claude/
│ └── rules/ # 常時適用ルール (security, git-safety)
├── scripts/ # テストスクリプト
└── docs/ # Documentation
└── cycles/ # TDDサイクルドキュメント
TDD Workflow
INIT → PLAN → RED → GREEN → REFACTOR → REVIEW → COMMIT
絶対ルール: エラーを見つけたら、まずテストを書く
TDD Philosophy (AI-Optimized)
Ticket-Based RED-GREEN-REFACTOR
従来のTDD(Kent Beck)は「1テストずつRED→GREEN→REFACTOR」を推奨するが、 tdd-skillsはチケット(Cycle)単位でRED→GREEN→REFACTORを回す。
従来TDD: test1→impl1→refactor → test2→impl2→refactor → ...
tdd-skills: [test1,test2,test3] → [impl1,impl2,impl3] → refactor
Why Batch Approach for AI?
| 観点 | 人間 | AIエージェント |
|---|---|---|
| モチベーション | 早くグリーンを見たい | 関係なし |
| デバッグ | 変更が多いと難しい | ログで追跡可能 |
| 並列化 | 1人では不可能 | 複数エージェント並列実行可能 |
| コンテキスト | 忘れる | Cycle docで維持 |
References
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.
- 9d ago First seen · 141 lines · 1,405 tokens per session scan A 27d2ff520fb8
tdd-skills CLAUDE.md is an instructions file published in the GitHub repository morodomi/tdd-skills (8 stars, last pushed 6mo ago), licensed MIT. It adds 1,405 tokens to every session, about $0.0070 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.