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 t-nakatani/skills --skill session-reviewgit clone --depth 1 https://github.com/t-nakatani/skillsWrote 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/t-nakatani/skills/session-review)<a href="https://agentmods.dev/skills/t-nakatani/skills/session-review"><img src="https://agentmods.dev/badge/skills/t-nakatani/skills/session-review/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/t-nakatani/skills/session-review"><img src="https://agentmods.dev/badge/skills/t-nakatani/skills/session-review.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 | $0.00037 | $0.00967 |
| Opus 5.5 | $0.00015 | $0.00387 |
| Sonnet 5.5 | $0.00007 | $0.00193 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
session-review 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 2mo 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
Session Review
セッション中に行った作業を振り返り、改善案を提案する。
手順
- セッションの要約: 今回のセッションで行った作業を箇条書きで簡潔にまとめる
- うまくいった点: 効率的だったアプローチや良い判断があれば挙げる
- 改善案の提案: 以下の観点から改善案を提案する
- ワークフロー改善: 作業手順やツールの使い方でもっと効率化できる点
- コード品質: 今回書いたコードで改善できる設計・パターン・テスト
- 自動化の機会: 繰り返し作業をスクリプトやスキルにできそうなもの
- ドキュメント不足: 今回の作業で明らかになった、ドキュメントが不足している箇所
- 技術的負債: 見つけた技術的負債や、今後注意すべきリスク
- Agent 体験の振り返り: AI agent の視点から、このセッションの作業体験を振り返る
- スムーズだった点: 作業を加速させた要因を挙げる（明確な指示、整備されたツール/スキル、適切なドキュメント、CLAUDE.md の情報、コードの可読性など）
- 摩擦があった点: 作業を遅延・困難にした要因を挙げる（曖昧な仕様、不足していた情報、ツールの制約、コンテキスト不足、試行錯誤が多かったステップなど）
- 改善の提案: 摩擦を減らすために変えられること・促進すべきことを具体的に提案する（ユーザーの指示の出し方、CLAUDE.md やメモリの充実、スキルの追加・改善、ワークフローの変更など）
- 率直に書く。遠慮や忖度は不要。ユーザーはこのフィードバックを協働改善のために求めている
- 次のアクション: 具体的に次に取り組むべきタスクがあれば提案する
- ファイル保存: レビュー内容を
.claude/sessions/YYYY-MM-DD_HH-MM_<topic>.mdに保存する- ファイル名の日時は現在時刻を使う
<topic>はセッションの主な作業内容を英語 kebab-case で簡潔に表す（2〜4語程度）- 例:
2026-02-21_11-20_ma-reversion-config-update.md - 保存後、ファイルパスをユーザーに表示する
出力フォーマット
## Session Review
### 作業サマリー
- ...
### うまくいった点
- ...
### 改善提案
#### ワークフロー
- ...
#### コード品質
- ...
#### 自動化の機会
- ...
#### ドキュメント
- ...
#### 技術的負債
- ...
### Agent 体験
#### スムーズだった点
- ...
#### 摩擦があった点
- ...
#### 改善の提案
- ...
### Next Actions
- [ ] ...
ルール
- 日本語で出力する
- 改善案は具体的かつ実行可能なものに絞る（曖昧な提案は避ける）
- 該当しないセクションは省略してよい
- 重要度の高いものから順に記載する
- 今回のセッションで触れていない領域には言及しない
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.
- 2mo ago First seen · 80 lines · 37 tokens per session scan A 43844cf92df9
session-review is a skill published in the GitHub repository t-nakatani/skills (2 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 967 once invoked, about $0.0001 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 2026-08-31.
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