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 skills add j5ik2o/okite-ai --skill reviewing-skillsgit clone --depth 1 https://github.com/j5ik2o/okite-aiWrote 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/skills/j5ik2o/okite-ai/reviewing-skills)<a href="https://agentmods.dev/skills/j5ik2o/okite-ai/reviewing-skills"><img src="https://agentmods.dev/badge/skills/j5ik2o/okite-ai/reviewing-skills/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/skills/j5ik2o/okite-ai/reviewing-skills"><img src="https://agentmods.dev/badge/skills/j5ik2o/okite-ai/reviewing-skills.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 | $0.00108 | $0.00996 |
| Opus 5 | $0.00054 | $0.00498 |
| Sonnet 5 | $0.00022 | $0.00199 |
| Haiku 4.5 | $0.00011 | $0.00100 |
Grade A, and why
reviewing-skills 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- reviewing-skills — 100% identical, 0 lines differ
What it actually says
スキルレビュー
公式ベストプラクティスに基づいてスキルをレビューし、具体的な改善提案を行う。
レビューワークフロー
ステップ1: 対象スキルの特定
レビュー対象のSKILL.mdファイルを特定する：
- ユーザーがパスを直接指定
- カレントディレクトリでSKILL.mdを検索
- 複数のスキルが存在する場合はユーザーに確認
ステップ2: 読み込みと分析
- 対象のSKILL.mdファイルを完全に読み込む
- best-practices.md でチェックリストを確認
- YAMLフロントマター（name, description）を解析
- ボディコンテンツの構造を分析
ステップ3: ベストプラクティスとの照合
各カテゴリを評価：
フロントマターチェック
- name: 長さ、形式、命名規則
- description: 完全性、具体性、トリガー
ボディチェック
- 行数（目標: 500行以下）
- 構造の明確さ
- Progressive Disclosureの使用
- ワークフロー設計の品質
コンテンツチェック
- 用語の一貫性
- 例の品質
- テンプレートの適切さ
アンチパターン検出
- デフォルトなしの複数選択肢
- Windowsスタイルのパス
- 時間に依存する情報
- マジック定数
ステップ4: レビューレポート生成
出力形式：
# スキルレビューレポート: {skill-name}
## サマリー
- 総合評価: {PASS | NEEDS_IMPROVEMENT | CRITICAL_ISSUES}
- Critical: {件数}
- Warning: {件数}
- Info: {件数}
## Critical（必須修正）
{修正必須の問題をリスト}
## Warning（推奨修正）
{推奨される改善をリスト}
## Info（改善提案）
{オプションの強化をリスト}
## 具体的な推奨事項
{例を含む具体的なアクションアイテム}
ステップ5: インタラクティブな改善
レポート提示後：
- ユーザーに修正を希望するか確認
- Critical問題を優先的に修正
- 段階的に修正を適用
- 各修正後に再検証
重大度分類
Critical
スキルの正常な機能を妨げる問題：
- descriptionが空または不足
- ボディが500行を大幅に超過
- スクリプトのセキュリティ脆弱性
- スクリプトのエラー処理不足
Warning
スキルの効果を低下させる問題：
- Progressive Disclosureが適用されていない
- 例が不十分
- 用語が一貫していない
- ワークフローが不明確
Info
改善の機会：
- より簡潔にできる
- 構造の最適化
- 追加の例があると良い
レビューセッション例
ユーザー: 「pdf-processorスキルをレビューして」
1. 読み込み: skills/pdf-processor/SKILL.md
2. ロード: references/best-practices.md
3. チェックリストに照らして分析
4. 日本語でレポート生成
5. 修正を提案
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 134 lines · 108 tokens per session scan A f6369fa00024
reviewing-skills is a skill published in the GitHub repository j5ik2o/okite-ai (81 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 996 once invoked, about $0.0005 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 2026-09-03.
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