Borrowing it
Nothing to install: this file belongs to satoh-y-0323/claude-code-conductor. 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/satoh-y-0323/claude-code-conductor/main/.claude/skills/setup/SKILL.mdgit clone --depth 1 https://github.com/satoh-y-0323/claude-code-conductorWrote 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/satoh-y-0323/claude-code-conductor/setup)<a href="https://agentmods.dev/skills/satoh-y-0323/claude-code-conductor/setup"><img src="https://agentmods.dev/badge/skills/satoh-y-0323/claude-code-conductor/setup/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/satoh-y-0323/claude-code-conductor/setup"><img src="https://agentmods.dev/badge/skills/satoh-y-0323/claude-code-conductor/setup.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 | $0.00086 | $0.02094 |
| Opus 5.5 | $0.00034 | $0.00838 |
| Sonnet 5.5 | $0.00017 | $0.00419 |
| Haiku 4.5 | $0.00009 | $0.00209 |
Grade A, and why
setup 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 yesterday.
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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
setup
プロジェクトのコーディング規約を設定する。 ヒアリングは親 Claude が担当し、収集後に project-setup エージェントを起動する。
起動経路の制約: 本 skill の起動は (a) ユーザーの
/setup明示呼び出し、 (b)init-sessionガード G-2 がSETUP_NEEDEDを検出した際のチェーン起動、の 2 経路のみ。 それ以外の場面で LLM の判断により自発的に起動してはならない (frontmatter で model invocation を禁止していないのは、G-2 のチェーン起動を許可するため)。
Phase 1: 技術スタックのヒアリング(親 Claude が実施)
Q1: 言語・バージョン
AskUserQuestion ツール:
{
"questions": [{
"question": "使用する言語とバージョンを教えてください",
"options": [
{ "label": "Python", "description": "バージョンを後で確認します" },
{ "label": "TypeScript / JavaScript", "description": "バージョンを後で確認します" },
{ "label": "Java / Kotlin", "description": "バージョンを後で確認します" },
{ "label": "C# / .NET", "description": "バージョンを後で確認します" }
]
}]
}
選択後にバージョンを確認する。
Q2: フレームワーク
AskUserQuestion ツール:
{
"questions": [{
"question": "使用するフレームワーク・主要ライブラリを教えてください",
"options": [
{ "label": "使用するものがある", "description": "具体的に入力してください" },
{ "label": "まだ決めていない" },
{ "label": "使用しない" }
]
}]
}
Q3: 実行環境
AskUserQuestion ツール:
{
"questions": [{
"question": "実行環境はどれですか?",
"options": [
{ "label": "サーバーサイド(API・バックエンド)" },
{ "label": "ブラウザ(フロントエンド)" },
{ "label": "両方(フルスタック)" },
{ "label": "CLI ツール" }
]
}]
}
Q4: データベース
AskUserQuestion ツール:
{
"questions": [{
"question": "データベースは使いますか?",
"options": [
{ "label": "PostgreSQL" },
{ "label": "MySQL / MariaDB" },
{ "label": "SQLite" },
{ "label": "使わない" }
]
}]
}
Q5: テストフレームワーク
AskUserQuestion ツール:
{
"questions": [{
"question": "テストフレームワークは決まっていますか?",
"options": [
{ "label": "決まっている", "description": "具体的に入力してください" },
{ "label": "まだ決めていない" }
]
}]
}
Phase 2: 独自規約のヒアリング(親 Claude が実施)
Q6: 参考スタイルガイド
AskUserQuestion ツール:
{
"questions": [{
"question": "参考にするスタイルガイドはありますか?",
"options": [
{ "label": "公式スタイルガイドに従う", "description": "PEP8・Google・StandardJS 等" },
{ "label": "Airbnb スタイル" },
{ "label": "独自ルールがある", "description": "後で詳しく教えてください" },
{ "label": "特になし・おすすめに任せる" }
]
}]
}
What ships with it
3 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.
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.
- yesterday Changed · +28 tokens per session 74a54d4fa53e
- 1mo ago Changed · -7 lines 43fd5f652ef2
- 1mo ago First seen · 238 lines · 58 tokens per session scan A fc6a13830070
setup is a skill published in the GitHub repository satoh-y-0323/claude-code-conductor (1 stars, last pushed yesterday), licensed MIT. It adds 86 tokens to every session and 2,094 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 2026-09-04.
Other skills, from other repositories
orchestrator
Providerneutrales Protokoll zum Zerlegen komplexer Aufgaben, zum Beauftragen unabhängiger Worker und zur evidenzbasierten Abnahme ihrer Ergebnisse.
aip-tracker
Track Airflow Improvement Proposal (AIP) implementation progress by comparing Confluence specs against codebase evidence. Use when asked to assess, report on, or compare AIP status.
compare-race
Use when the user wants to send the same prompt to several LLMs and compare the answers - sequentially (stopwatch, clean per-lane timing) or in parallel (true race), with optional repetitions per model, judged by the starting model across quality, correctness, completeness, instruction fidelity and latency (time is…
evoflow-plan-workflow
A workflow-planning guide for clarifying requirements, recording a plan, assigning work, and checking delivery.
trello
A connection to Trello, a web service that organizes work into boards, lists, and cards, through its REST API.
agent-team
Build or maintain project multi-agent collaboration, including team setup, roles, session routing, handoff and protocol repair. Existing departments handle routine development and review through project role and TASK files.