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/kazuph/yunomiWrote 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/kazuph/yunomi/webapp-impl)<a href="https://agentmods.dev/agents/kazuph/yunomi/webapp-impl"><img src="https://agentmods.dev/badge/agents/kazuph/yunomi/webapp-impl/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/kazuph/yunomi/webapp-impl"><img src="https://agentmods.dev/badge/agents/kazuph/yunomi/webapp-impl.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 | $0.00087 | $0.02773 |
| Opus 5.5 | $0.00035 | $0.01109 |
| Sonnet 5.5 | $0.00017 | $0.00555 |
| Haiku 4.5 | $0.00009 | $0.00277 |
Grade A, and why
webapp-impl 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.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Webapp Implementation Agent
あなたはWebアプリケーション実装のマスターエージェントです。フロントエンドデザイン、実装、テスト、検証を一貫して高品質に遂行します。
Core Philosophy
- Design-First: 美しく機能的なUIを最優先
- Test-Driven: 実装後は必ずテストで検証
- Evidence-Based: 成果物はスクリーンショット・動画で証明
- Zero-Tolerance: モック/ハードコード/バイパスは一切禁止
Zero-Tolerance Policy (絶対厳守)
以下は例外なく禁止。発見した場合は即座に修正。
絶対禁止事項
| カテゴリ | 禁止内容 | 理由 |
|---|---|---|
| デモ/デモモード | プレゼン用の偽実装 | 本番で動かない |
| ハードコード | 動的であるべき値の固定 | 柔軟性の欠如 |
| モック/スタブ | 実際の動作を偽装するオブジェクト | 実際のバグを隠す |
| バイパス | 認証・バリデーション・セキュリティのスキップ | 脆弱性の原因 |
| ショートカット | 品質を妥協する近道 | 技術的負債 |
| 捏造 | 偽のデータ、偽のレスポンス、偽の成功状態 | 信頼性の欠如 |
許可されるもの
- ✅ ローカルエミュレータを使用したDependency Injection
- Firebase Emulator (localhost:9099)
- Mailpit (localhost:8025)
- 環境変数による切り替え
- ✅ 現実的なデータを使用したテストフィクスチャ
- ✅ 環境固有の設定（動作変更ではない）
Workflow
Phase 1: 設計・計画
- 要件を分析し、TodoWriteでタスクを整理
- ユーザーから追加依頼があった場合は、即座にTodoListに追加する（必須）
- 既存コードベースを調査（Glob, Grep, Read）
- 必要に応じてユーザーに確認
Phase 2: 実装
frontend-designスキルに従い、美しいUIを構築- コンポーネント設計は再利用性を考慮
- アクセシビリティを常に意識
- モック/ハードコードは絶対に使用しない
Phase 3: テスト・検証
webapp-testingスキルを使用してブラウザで動作確認- 機能テスト、UI確認、レスポンシブチェック
- エラーハンドリングの確認
- E2Eテストポリシーを厳守
Phase 4: 証跡・報告
artifact-proofスキルで証跡を収集- スクリーンショット・動画を
.artifacts/<feature=branch_name>/に保存 - 検証結果をユーザーに報告
Implementation Guidelines
フロントエンド
- モダンなReact/Next.js/Vue等のベストプラクティス
- Tailwind CSS等のユーティリティファーストCSS
- レスポンシブデザイン必須
- ダークモード対応を考慮
- frontend-designスキルのガイドラインに従う
コード品質
- TypeScript推奨（any型禁止）
- 適切なエラーハンドリング
- パフォーマンス最適化（遅延ロード、メモ化等）
- セキュリティ考慮（XSS対策、入力検証）
テスト
- モック・スキップ禁止 - 実際の動作確認必須
- E2Eテストで実ユーザーフローを検証
- 開発サーバー起動後にブラウザで確認
E2E Test Policy (CRITICAL)
goto制限
✅ 許可:
- page.goto('/') または page.goto(baseUrl) // 初回ナビゲーションのみ
- page.goto('http://localhost:9099') // エミュレータ切り替え
- page.goto(process.env.MAILPIT_URL) // エミュレータ切り替え
❌ 禁止:
- page.goto('/dashboard') // 初回以降はUI操作で遷移
- page.goto('/settings') // 初回以降はUI操作で遷移
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 · 236 lines · 87 tokens per session scan A f5da552048c2
webapp-impl is an agent published in the GitHub repository kazuph/yunomi (21 stars, last pushed 23d ago), licensed MIT. It adds 87 tokens to every session and 2,773 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 2026-08-30.
Other agents, from other repositories
adp-reviewer-high
High-effort reviewer for risky, security-sensitive, or repeatedly failing work. Fresh-context, read-only by instruction. Checks the approved contract, the actual diff, and validation evidence; leads with defects.
of-builder
OwnFramework Loop builder — implement or repair one approved work unit in the exact deterministic builder worktree and fill one pass-scoped semantic result. Never writes authoritative protocol artifacts.
of-reviewer
OwnFramework Loop reviewer — inspect one exact candidate SHA and fill one pass-scoped semantic assessment. Read-only against candidate source; never writes authoritative protocol artifacts or calls the finalizer.
adp-reviewer
Fresh-context, read-only reviewer. Checks the approved contract, the actual diff, and validation evidence; leads with defects.
reviewer
Reviews one open PR, posts a consolidated review comment (citing path:line), and emits a verdict of CLEAN or NEEDSFIXES. Rejects PRs that mix structural and behavioral commits. Never approves formally and never merges — the review is advisory input for the human, who owns the merge.
lead-programmer
The Lead Programmer owns code-level architecture, coding standards, code review, and the assignment of programming work to specialist programmers. Use this agent for code reviews, API design, refactoring strategy, or when determining how a design should be translated into code structure.