Borrowing it
Nothing to install: this file belongs to akaghef/M3E. 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/akaghef/M3E/main/.claude/skills/devM3E/SKILL.mdgit clone --depth 1 https://github.com/akaghef/M3EWrote 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/akaghef/m3e/devm3e)<a href="https://agentmods.dev/skills/akaghef/m3e/devm3e"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/devm3e/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/akaghef/m3e/devm3e"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/devm3e.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 | $0.00226 | $0.03609 |
| Opus 5.5 | $0.00090 | $0.01444 |
| Sonnet 5.5 | $0.00045 | $0.00722 |
| Haiku 4.5 | $0.00023 | $0.00361 |
Grade A, and why
devM3E 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 5d 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 — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.
devM3E — M3E Development Orchestrator
M3Eプロジェクトの開発サイクルを回すオーケストレーションスキル。 skill-creatorの「intent capture → draft → test → eval → iterate」ループをソフトウェア開発に適用する。
Core Loop
1. Assess — 現在地の把握(status, todo pool, daily, blocked items)
2. Plan — タスク選定と分解(smallest deliverable first)
3. Execute — 実装(サブエージェント分業 or インライン)
4. Verify — 検証(テスト、ビルド、手動確認)
5. Integrate — 統合と記録(commit, daily更新, status更新)
6. Review — ユーザーレビュー → フィードバック → 次サイクルへ
Phase 1: Assess(現在地の把握)
セッション開始時、まず以下を読む:
| ファイル | 目的 |
|---|---|
docs/00_Home/Current_Status.md |
現在のスナップショット |
docs/06_Operations/Todo_Pool.md |
未着手タスクプール |
docs/daily/ 直近3日分 |
最近の作業経緯 |
docs/tasks/todo_by_role.md |
ロール別タスク一覧 |
出力: 現在地サマリーを3行以内でユーザーに提示。blockedやriskがあれば先に伝える。
Phase 2: Plan(タスク選定と分解)
タスク選定基準
- blocked解消が最優先
- 次にTodo Poolのstate=
readyかつ優先度の高いもの - ユーザーが指定したタスク
タスク分解
タスクをTodoWriteで管理する。各タスクは:
- 1つの検証可能な成果物を生む
- 30分以内で完了見込み
- 依存関係を明示
ロール判定
タスクの性質に応じてロールを判定する。ただし厳密な境界は設けない:
| ロール | 担当領域 | ブランチ |
|---|---|---|
| visual | UI・レンダリング・CSS・SVG | dev-visual |
| data | model・controller・API・永続化 | dev-data |
| 統合 | 仕様策定・マージ・CI・文書管理 | dev-beta |
Coworkセッションでは統合ロールとして振る舞い、必要に応じてvisual/dataのサブタスクをサブエージェントに委任する。
Phase 3: Execute(実装)
サブエージェント分業パターン
skill-creatorのgrader/comparator/analyzerに倣い、以下のサブエージェントを定義する。
各エージェントの詳細は agents/ 配下を参照。
| エージェント | 用途 | 詳細 |
|---|---|---|
| implementer | コード実装 | agents/implementer.md |
| verifier | テスト・ビルド・回帰チェック | agents/verifier.md |
| doc-updater | daily更新・Decision Pool追記 | agents/doc-updater.md |
| reviewer | 差分レビュー・spec整合チェック | agents/reviewer.md |
並列実行ルール
- 独立したタスクはサブエージェントを並列起動する
- 依存があるタスクは直列で、前段の完了を待つ
- サブエージェント起動時はワークツリー分離(
isolation: "worktree")を推奨
インライン実行
軽微な変更(1ファイル20行以内)はサブエージェントを使わずインラインで実行する。
実装時の制約
beta/が開発対象。final/は触らない- コミットメッセージは imperative形式
- docs配下の設計文書は日本語で記述する(Documentation_Rules準拠)
Phase 4: Verify(検証)
検証ステップ(verifierエージェント or インライン)
What ships with it
11 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.
- agents/doc-updater.md 4.3 KB
- agents/implementer.md 1.7 KB
- agents/reviewer.md 2.3 KB
- agents/verifier.md 2.0 KB
- agents/whiteboard.md 1.3 KB
- GUIDE.md 9.2 KB
- references/architecture_index.md 1.1 KB
- references/operations_quickref.md 1.5 KB
- references/spec_index.md 1.3 KB
- scripts/aggregate_results.py 3.5 KB runs code
- scripts/session_bootstrap.sh 1.2 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.
- 5d ago First seen · 304 lines · 226 tokens per session scan A 27b4daf18fb0
devM3E is a skill published in the GitHub repository akaghef/M3E (11 stars, last pushed 5d ago), licensed MIT. It adds 226 tokens to every session and 3,609 once invoked, about $0.0009 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 2026-10-02.
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