review-team

review-team is a command for Claude Code from s977043/river-review. It costs 16 tokens per session (996 once invoked), scanned A, original, MIT.

A command for running a review team made up of several reviewer roles and combining their findings into one technical-lead report. It can also report how many roles agreed on each finding.

In plain words
What is it for?
Reviewing the current Git diff, selecting reviewer roles, merging duplicate findings, and reporting scope and consensus.
Why use it?
It reduces the chance that one reviewer misses an issue and distinguishes problems introduced by the current changes from older issues.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the river-review plugin — 138 skills, 18 commands, 5 agents, 3 hooks shipped together

Good fit Reviewing the current Git diff, selecting reviewer roles, merging duplicate findings, and reporting scope and consensus.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/s977043/river-review/review-team
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.

Clone the repo
git clone --depth 1 https://github.com/s977043/river-review

Made for: Claude Code.

Or install river-review, the plugin that ships this one along with the rest of its 138 skills, 18 commands, 5 agents, 3 hooks.

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 review-team

README.md
[![agentmods](https://agentmods.dev/badge/commands/s977043/river-review/review-team/github.svg)](https://agentmods.dev/commands/s977043/river-review/review-team)
Your own site
<a href="https://agentmods.dev/commands/s977043/river-review/review-team"><img src="https://agentmods.dev/badge/commands/s977043/river-review/review-team/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 review-team

Your own site · 80×15
<a href="https://agentmods.dev/commands/s977043/river-review/review-team"><img src="https://agentmods.dev/badge/commands/s977043/river-review/review-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 996 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 $0.00016 $0.00996
Opus 5 $0.00008 $0.00498
Sonnet 5 $0.00003 $0.00199
Haiku 4.5 $0.00002 $0.00100

Measured 9d ago against content hash b2de7ac7f1cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

review-team 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.

commands/review-team.md · 75 lines

What it actually says

スキル定義: skills/agent-skills/review-team/SKILL.md

Context

  • Status: git status
  • Diff: git diff
  • Recent commits: git log --oneline -10

差分がない場合は「差分がありません」と伝えて終了する。

Task

review-team スキルの手順に従い、現在の差分をレビュー・チームで検査する。

Step 1: ロールを決定する

引数でロールが指定された場合はそれを使う。なければ auto(差分から自動選択)。

Step 2: レビューを実行する

River Review は npm 未公開のため npx river-review は使えない。エージェントがこのスキルの手順を直接実行する(CLI 不要)。上記 Step 1 で決めたロールを並列に走らせ、Union-Find で finding を統合し、consensusLevel と teamLeadReport を生成する。

リポジトリ内で作業していて river CLI をアクセラレータとして使える場合のみ、次を利用してよい(任意)。コスト確認が必要なら先に --dry-run

# auto モード(推奨)
npm run river -- run . --reviewers auto --output json

# ロール明示指定
npm run river -- run . --reviewers <role1,role2,...> --output json

CLI が存在しない、または失敗した場合は、スキル駆動のレビューで継続する。

Step 3: 結果を報告する

用語(skills/agent-skills/review-team/SKILL.md の「Output Interpretation / 結果の読み方」が出典):

  • scope: 指摘が本 PR の追加行に由来するかを示す finding のメタデータ。値は in-diff / pre-existing の 2 つ
  • in-diff: 本 PR が追加行で持ち込んだ問題。既定値であり fail-safe でもあるため、値が無い finding もこの扱いになる
  • pre-existing: 変更ファイル内だが追加行の外にある既存コードへの指摘。文脈参考として扱い、本 PR のスコープを超えた修正を招かないようにする
  • consensusLevel: 同じ finding を挙げたロール数のバケット。consensus(3 以上)/ multi(2)/ single(1 以下)
  • 並び順のキーは consensusLevelseverityscope である。consensusLevelseverity に優先し、severity は同値のときだけ次のキーへ進む

JSON 出力(teamLeadReport / issues)をもとに以下の形式で報告する。

## レビュー・チーム 結果

### 実行ロール

<reviewerRole の一覧>

### 優先確認の指摘(top3)

<consensusLevel → severity → scope 順の上位3件。multi は ★★、consensus は ★★★ を付ける。scope は上位2キーが同値のときだけ in-diff を先に置く。pre-existing の finding には file:line の直後に `_(pre-existing)_` を付ける>

### 全指摘(severity 降順)

<critical → major → minor → info の順。scope が pre-existing の finding には file:line の直後に `_(pre-existing)_` を付ける。in-diff(本 PR の追加行由来)は既定値なので印を付けず、pre-existing(変更ファイル内だが追加行の外)だけを示す>

### 見落とし可能性

<blindSpots の label。空なら「なし(全ロールを実行済み)」>

### コンセンサス集計

consensus: N件 / multi: N件 / single: N件
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. 9d ago First seen · 75 lines · 16 tokens per session scan A b2de7ac7f1cc

Subscribe to this mod's changes

review-team is a command published in the GitHub repository s977043/river-review (3 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 996 once invoked, about $0.0001 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.