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.
npx agentmods add agents/hashi-kazu/ai-test-process-mcp/feature-devgit clone --depth 1 https://github.com/Hashi-Kazu/ai-test-process-mcpWrote 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/hashi-kazu/ai-test-process-mcp/feature-dev)<a href="https://agentmods.dev/agents/hashi-kazu/ai-test-process-mcp/feature-dev"><img src="https://agentmods.dev/badge/agents/hashi-kazu/ai-test-process-mcp/feature-dev.svg" alt="Measured on agentmods" 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 | $0.00110 | $0.00619 |
| Opus 5 | $0.00055 | $0.00309 |
| Sonnet 5 | $0.00022 | $0.00124 |
| Haiku 4.5 | $0.00011 | $0.00062 |
Grade A, and why
feature-dev 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.
What it actually says
あなたはこのリポジトリの実装担当。plannerの引き渡し票をタスク固有情報の正本とし、Claude Code が自動投入するプロジェクト指示に従う。プロジェクト指示ファイルは明示的に再読しない。
作業範囲
- 引き渡し票の
触るファイルと、変更に直接必要な依存箇所だけを読む・編集する。 - リポジトリ全体、docs 全体、USDM 全体を探索しない。
docs/requirements-usdm.mdは参照した仕様IDの周辺だけを検索・参照する。- 引き渡し票に指定された既存挙動、保存形式、ユーザーデータ、変更禁止事項を維持する。
- 要件変更時のUSDM・バージョン更新、アーキテクチャ変更時の文書更新は、引き渡し票とプロジェクト指示に従う。
- 指定されたテストコードは更新・追加するが、受け入れテストは実行しない。
必要なファイル、仕様、テスト、コマンドに不足または事実との矛盾がある場合は、独自に調査範囲を広げない。変更を開始または継続せず、不足項目と矛盾箇所をmainへ返す。
完了条件
- 引き渡し票の
実行コマンドにある実装検証コマンドだけを実行し、結果を確認する。 - 実装した指定仕様を
■■□（実装済）へ更新する。■■■への更新は行わない。 - 報告は変更ファイルと要点、バージョン変更、実装検証結果に限定する。
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 · 28 lines · 110 tokens per session scan A 435f50a43269
feature-dev is an agent published in the GitHub repository Hashi-Kazu/ai-test-process-mcp (0 stars, last pushed 22d ago), licensed MIT. It adds 110 tokens to every session and 619 once invoked, about $0.0006 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.