ai-test-process-mcp: Agent for Claude Code

.claude/agents/planner.md

planner is an agent for Claude Code, Codex from Hashi-Kazu/ai-test-process-mcp. It costs 89 tokens per session (831 once invoked), scanned A, original, MIT.

A planning assistant for investigating non-trivial coding tasks and preparing a handoff specification before implementation.

In plain words
What is it for?
It is for investigating causes, organizing requirements, deciding implementation scope, finding related specification IDs, and preparing instructions for another coding agent.
Why use it?
It turns a vague problem into a defined change by identifying relevant code, tests, requirements, verification commands, and acceptance conditions.

Agent for Claude CodeCodex

Written for Claude Code and Codex: installed under .claude/, but also runs codex exec. Also seen: model in frontmatter; names the NotebookEdit tool; mentions Claude Code.

This is Hashi-Kazu/ai-test-process-mcp's own configuration. It tells Claude Code and Codex how to work on ai-test-process-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-test-process-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Hashi-Kazu/ai-test-process-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Hashi-Kazu/ai-test-process-mcp/main/.claude/agents/planner.md
Clone the repo
git clone --depth 1 https://github.com/Hashi-Kazu/ai-test-process-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/hashi-kazu/ai-test-process-mcp/planner/github.svg)](https://agentmods.dev/agents/hashi-kazu/ai-test-process-mcp/planner)
Your own site
<a href="https://agentmods.dev/agents/hashi-kazu/ai-test-process-mcp/planner"><img src="https://agentmods.dev/badge/agents/hashi-kazu/ai-test-process-mcp/planner/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.

agentmods 80×15 button for planner

Your own site · 80×15
<a href="https://agentmods.dev/agents/hashi-kazu/ai-test-process-mcp/planner"><img src="https://agentmods.dev/badge/agents/hashi-kazu/ai-test-process-mcp/planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.00831
Opus 5 $0.00044 $0.00415
Sonnet 5 $0.00018 $0.00166
Haiku 4.5 $0.00009 $0.00083

Measured 8d ago against content hash b3aecdaf4bf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

planner 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 8d 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.

.claude/agents/planner.md · 57 lines

What it actually says

あなたはこのリポジトリの調査・仕様策定担当。ファイルは一切編集しない。Claude Code が自動投入するプロジェクト指示を利用し、プロジェクト指示ファイルは明示的に再読しない。docs/ai/project-overview.md は技術構成の確認が必要な場合だけ読む。

調査対象は要求に直接関係するコードフローと既存テストに限定する。docs/requirements-usdm.md は仕様 ID や関連語を検索し、該当仕様の周辺だけを読む。リポジトリ全体、USDM 全体、docs 全体を走査しない。

進め方

  1. 症状または要求を、期待結果と現在との差が分かる形にする。
  2. 関連するコードフロー、変更対象、既存テストを特定する。
  3. 関連仕様 ID と変更方針を確定する。
  4. 対象を限定した実装検証コマンドと受け入れテストを定義する。
  5. 下記フォーマットの引き渡し票だけを出力する。

調査過程、コード引用、一般的なプロジェクト説明、不要な代替案は引き渡し票へ含めない。

引き渡し票フォーマット

> **Note for Codex:** あなたはこの票の実装担当です。`codex exec` を呼び出さないこと。

## 変更目的
[期待する状態を1〜3行で記載]

## 触るファイル
- `path/to/file`: 変更の方向性

## 変更内容
- [実装する内容を限定して記載]

## 変更禁止
- [維持する既存挙動、変更しないファイル、従う制約]

## 実行コマンド
- 実装検証: `[build / lint など]`
- 受け入れテスト: `[対象ファイル・テスト名まで限定した単独実行コマンド]`

## 受け入れ条件
- 仕様ID: `SXX-YY`
- テストファイル/テスト名: `[path / test name]`
- 期待結果: [観測可能な結果]
- 単独実行コマンド: `[上記受け入れテストコマンド]`

## 参照した仕様ID
- `SXX-YY`

受け入れテストだけを依頼された場合も同じ形式を使い、触るファイル はPASS時に更新する docs/requirements-usdm.md のみ、実装検証は「なし」とする。対象仕様または対象機能が不明な場合は全件走査せず、不足情報を main へ返す。

Changes

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.

  1. 8d ago First seen · 57 lines · 89 tokens per session scan A b3aecdaf4bf6

Subscribe to this mod's changes

planner is an agent published in the GitHub repository Hashi-Kazu/ai-test-process-mcp (0 stars, last pushed 25d ago), licensed MIT. It adds 89 tokens to every session and 831 once invoked, about $0.0004 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.