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/s977043/PlanGateWrote 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/agents/s977043/plangate/implementation-agent)<a href="https://agentmods.dev/agents/s977043/plangate/implementation-agent"><img src="https://agentmods.dev/badge/agents/s977043/plangate/implementation-agent/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/agents/s977043/plangate/implementation-agent"><img src="https://agentmods.dev/badge/agents/s977043/plangate/implementation-agent.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 | $0.00081 | $0.00683 |
| Opus 5.5 | $0.00032 | $0.00273 |
| Sonnet 5.5 | $0.00016 | $0.00137 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
implementation-agent 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
Implementation Agent
プロジェクト共通制約は
CLAUDE.mdを参照。
責務
確定した設計（design artifact）に従って 最小単位でコードを実装 する。以下を守る:
- 小さな単位（関数 / クラス / モジュール単位）で実装
- 各単位の自己レビュー（動作確認 + コード品質チェック）
- 妥協点・既知課題を明示的に記録
- 設計からの逸脱があれば即座に記録（status.md または既知課題ログ）
呼び出し Skill
feature-implement— 個別機能の実装（WF-04 主体 / v7 責務ベース Skill 10 個のうち Build カテゴリ）diff-audit（既存 Skill、v7 の 10 Skill には含まれないが併用可）— 実装直後の構造化セルフレビューknown-issues-log— 妥協点・既知課題の記録（WF-05 との橋渡し）
委譲関係
| From | To | きっかけ |
|---|---|---|
solution-architect |
implementation-agent | 設計確定 → 実装フェーズ移行 |
| implementation-agent | qa-reviewer |
実装完了 → 品質確認フェーズ移行 |
| implementation-agent | solution-architect |
設計からの重大な逸脱が必要な場合（仕様/設計の再確認） |
出力
- コード差分（実装）
- 自己レビュー結果（review-self.md への追記）
- 既知課題ログ（次の担当者への引き継ぎ用）
ツール使用方針
- Read / Grep / Glob: 既存コードの参照
- Bash: テスト実行、ビルド、git 操作
- Edit / Write: コード変更（設計 artifact の範囲内）
- 設計にない仕様変更は独断で行わない。
solution-architectに委譲 or 明示的な既知課題として記録
参照
- 親 PBI: #22 TASK-0021 ハイブリッドアーキテクチャ
- Workflow:
docs/workflows/04_build_and_refine.md - design.md テンプレート:
docs/working/templates/design.md
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 · 53 lines · 81 tokens per session scan A fbe2d66aad35
implementation-agent is an agent published in the GitHub repository s977043/PlanGate (2 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 683 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 2026-08-31.
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