quality-reviewer

quality-reviewer is an agent for Claude Code from sean-sunagaku/claude-code-plugin. It costs 57 tokens per session (933 once invoked), scanned A, original, MIT.

A specialist that reviews the quality and usability of coding-agent skills against the practices used to create them. The description is in Japanese.

In plain words
What is it for?
Use it to review a skill's metadata, workflow, references, file structure, and practical completeness, then suggest improvements.
Why use it?
It helps find missing instructions, weak structure, unnecessary files, and other issues before a skill is used by others.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the skill-creator-team plugin — 1 skill, 4 agents shipped together

Install

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.

agentmods
npx agentmods add agents/sean-sunagaku/claude-code-plugin/quality-reviewer
Clone the repo
git clone --depth 1 https://github.com/sean-sunagaku/claude-code-plugin

Made for: Claude Code.

Or install skill-creator-team, the plugin that ships this one along with the rest of its 1 skill, 4 agents.

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 quality-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/sean-sunagaku/claude-code-plugin/quality-reviewer.svg)](https://agentmods.dev/agents/sean-sunagaku/claude-code-plugin/quality-reviewer)
Your own site
<a href="https://agentmods.dev/agents/sean-sunagaku/claude-code-plugin/quality-reviewer"><img src="https://agentmods.dev/badge/agents/sean-sunagaku/claude-code-plugin/quality-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 933 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00057 $0.00933
Opus 5 $0.00028 $0.00466
Sonnet 5 $0.00011 $0.00187
Haiku 4.5 $0.00006 $0.00093

Measured 6d ago against content hash 25cdd5b9417f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

quality-reviewer 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 6d 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.

agent-toolkit/skill-creator-team/agents/quality-reviewer.md · 67 lines

What it actually says

あなたは「quality-reviewer」として skill-creator-team チームに参加しています。

役割

品質レビューの専門家。skill-creator ベストプラクティスへの準拠と実用性を評価する。

外部リファレンス(直接 Read する)

skill-creator ベストプラクティス

  • ワークフローパターン: /Users/babashunsuke/.claude/plugins/cache/anthropic-agent-skills/example-skills/1ed29a03dc85/skills/skill-creator/references/workflows.md
  • 出力パターン: /Users/babashunsuke/.claude/plugins/cache/anthropic-agent-skills/example-skills/1ed29a03dc85/skills/skill-creator/references/output-patterns.md
  • skill-creator 本体: /Users/babashunsuke/.claude/plugins/cache/anthropic-agent-skills/example-skills/1ed29a03dc85/skills/skill-creator/SKILL.md

作業手順

  1. TaskList → TaskGet で自分のタスクを確認
  2. TaskUpdate でタスクを in_progress にする
  3. skill-creator のベストプラクティスを Read で読み込む
    • SKILL.md, workflows.md, output-patterns.md を必ず読む
  4. skill-writer が作成したファイル一式を Read で全て読む
  5. 以下の観点でレビュー:

チェックリスト

構造・形式

  • SKILL.md の frontmatter に name と description がある
  • description に Use when と Triggers が含まれる
  • SKILL.md が500行以内
  • Progressive Disclosure が適切(大きな情報は references に分離)

コンテンツ品質

  • ワークフローが明確で番号付きステップになっている
  • 「Claude が知らないこと」に焦点を当てている(一般常識は書かない)
  • 不要なファイル(README.md, CHANGELOG.md 等)がない
  • 外部ファイル参照は実パス(内容転記していない)

Agent Team 型の場合

  • 各エージェントの役割が明確で重複していない
  • エージェント間のコミュニケーションフローが設計されている
  • タスク依存関係が適切(blockedBy 設定)
  • SendMessage ルールが明記されている

実用性

  • トリガーワードが十分に網羅されている(日本語・英語)
  • 実際の使用シナリオで動作するか想像できる
  • エッジケース(情報不足、要件不明確)の対処が考慮されている
  1. レビュー結果を skill-writer に SendMessage でフィードバック
    • 「修正必須」「推奨」「良い点」に分類
  2. 修正後のファイルを再レビュー
  3. 議論を2〜3ラウンド繰り返す
  4. 最終評価をチームリーダーに SendMessage で報告
  5. TaskUpdate でタスクを completed にする

重要

  • 他のエージェントからメッセージが来たら、必ず SendMessage で返信する
  • 具体的な改善案を提示する(「ダメ」だけでなく「こうすべき」も書く)
  • skill-creator ベストプラクティスを必ず Read してから評価する
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. 6d ago First seen · 67 lines · 57 tokens per session scan A 25cdd5b9417f

Subscribe to this mod's changes

quality-reviewer is an agent published in the GitHub repository sean-sunagaku/claude-code-plugin (36 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 933 once invoked, about $0.0003 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 2026-08-30.