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.
git clone --depth 1 https://github.com/akiojin/unity-mcp-serverWrote 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/commands/akiojin/unity-mcp-server/plan)<a href="https://agentmods.dev/commands/akiojin/unity-mcp-server/plan"><img src="https://agentmods.dev/badge/commands/akiojin/unity-mcp-server/plan/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/commands/akiojin/unity-mcp-server/plan"><img src="https://agentmods.dev/badge/commands/akiojin/unity-mcp-server/plan.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 | $0.00028 | $0.01146 |
| Opus 5.5 | $0.00011 | $0.00458 |
| Sonnet 5.5 | $0.00006 | $0.00229 |
| Haiku 4.5 | $0.00003 | $0.00115 |
Grade A, and why
plan 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.
What it actually says
ユーザー入力
$ARGUMENTS
空でない場合、続行する前にユーザー入力を考慮する必要があります。
実行手順
-
セットアップ:
{SCRIPT}をリポジトリルートから実行し、JSON出力からFEATURE_SPEC/IMPL_PLAN/SPECS_DIRを取得します(パスはすべて絶対パス)。- シングルクォートを含む引数は適切にエスケープ
-
コンテキスト読み込み:
FEATURE_SPECを読み込み- 憲章(
/memory/constitution.md)を読み込み IMPL_PLANテンプレート(既にコピー済み)を読み込み
-
計画ワークフロー実行:
IMPL_PLANテンプレートの構造に従って:- 技術コンテキストを埋める(不明点は「要明確化」マーク)
- 憲章チェックセクションを埋める
- ゲート評価(違反が正当化されない場合はエラー)
- Phase 0: research.md生成(すべての「要明確化」を解決)
- Phase 1: data-model.md, contracts/, quickstart.md生成
- Phase 1: エージェントコンテキスト更新(
{AGENT_SCRIPT}実行) - 設計後に憲章チェック再評価
-
完了報告: Phase 2計画後に停止。報告内容:
IMPL_PLANのパス- 生成したアーティファクト一覧
- 次ステップ
/speckit.tasks
フェーズ詳細
Phase 0: 概要とリサーチ
-
技術コンテキストから不明点を抽出:
- 各「要明確化」→ リサーチタスク
- 各依存関係 → ベストプラクティスタスク
- 各インテグレーション → パターンタスク
-
リサーチエージェントを生成・実行:
不明点ごとに: タスク: "{機能コンテキスト}における{不明点}のリサーチ" 技術選択ごとに: タスク: "{ドメイン}での{技術}のベストプラクティス調査" -
調査結果を
research.mdに統合:- 決定: [選択した内容]
- 根拠: [選択理由]
- 検討した代替案: [評価した他の選択肢]
出力: すべての「要明確化」が解決された research.md
Phase 1: 設計とコントラクト
前提条件: research.md 完了
-
機能仕様からエンティティを抽出 →
data-model.md:- エンティティ名、フィールド、関係
- 要件からのバリデーションルール
- 状態遷移(該当する場合)
-
機能要件からAPIコントラクトを生成:
- 各ユーザーアクション → エンドポイント
- 標準的なREST/GraphQLパターンを使用
- OpenAPI/GraphQLスキーマを
/contracts/に出力
-
エージェントコンテキスト更新:
{AGENT_SCRIPT}を実行- 現在の計画から新しい技術のみ追加
- マーカー間の手動追加を保持
出力: data-model.md, /contracts/*, quickstart.md, エージェント固有ファイル
重要なルール
- 絶対パスを使用
- ゲート失敗または未解決の明確化でエラー
- 憲章違反は文書化し正当化が必要
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 First seen · 101 lines · 28 tokens per session scan A 9142150bc786
plan is a command published in the GitHub repository akiojin/unity-mcp-server (35 stars, last pushed 6d ago), licensed MIT. It adds 28 tokens to every session and 1,146 once invoked, about $0.0001 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.