session-review

session-review is a skill for Claude Code, Codex from t-nakatani/skills. It costs 37 tokens per session (967 once invoked), scanned A, original, MIT.

A session-end review process written in Japanese that summarizes work done, what went well, problems encountered, and possible improvements. It also records the review in a dated Markdown file.

In plain words
What is it for?
Use it to review a completed session, suggest workflow and code improvements, identify automation opportunities, document technical debt, and recommend next actions.
Why use it?
Useful lessons from a coding session can be forgotten, especially when problems involve workflow friction, missing documentation, technical debt, or unclear instructions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit Use it to review a completed session, suggest workflow and code improvements, identify automation opportunities, document technical debt, and recommend next actions.

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Install with agentmods
npx agentmods add skills/t-nakatani/skills/session-review
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.

Any agent
npx skills add t-nakatani/skills --skill session-review
Clone the repo
git clone --depth 1 https://github.com/t-nakatani/skills

Made for: Claude Code, Codex.

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 session-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/t-nakatani/skills/session-review/github.svg)](https://agentmods.dev/skills/t-nakatani/skills/session-review)
Your own site
<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.

agentmods 80×15 button for session-review

Your own site · 80×15
<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>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 967 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00037 $0.00967
Opus 5 $0.00018 $0.00483
Sonnet 5 $0.00007 $0.00193
Haiku 4.5 $0.00004 $0.00097

Measured 11d ago against content hash 43844cf92df9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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 11d 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.

skills/session-review/SKILL.md · 80 lines

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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
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. 11d ago First seen · 80 lines · 37 tokens per session scan A 43844cf92df9

Subscribe to this mod's changes

session-review is a skill published in the GitHub repository t-nakatani/skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 967 once invoked, about $0.0002 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.