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claude-team-review/SKILL.md
T
ddadminandClaude Opus 4.6 c922800bd0 feat(skill): добавлен скилл adversarial review через Agent Teams
- Зачем:
  - реализация adversarial code/plan review без внешних зависимостей, целиком внутри Claude Code Agent Teams.
- Что:
  - добавлен SKILL.md — основной скилл claude-team-review с логикой авто-определения режима, итеративного ревью (до 5 раундов) и stateful тиммейта.
  - добавлен adversarial-reviewer.md — определение тиммейта-ревьюера (read-only, Opus, adversarial stance).
  - добавлен README.md с описанием, установкой и сравнением с adversarial-review (Codex).
  - добавлена лицензия Apache-2.0.
- Проверка:
  - /claude-team-review в проекте с включённым CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-09 19:48:51 +03:00

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name, description, user_invocable
name description user_invocable
claude-team-review Adversarial code/plan review using Claude Code Agent Teams. Spawns a reviewer teammate that reads the project, runs tests, checks docs, and delivers findings. Lead fixes issues, teammate re-reviews — stateful, no context loss between rounds. Use when user says /claude-team-review, asks for team review, team-based code review, or wants a stateful adversarial review without external dependencies. true

Claude Team Review

Spawns an adversarial reviewer teammate (Agent Teams) to review plans or code. The reviewer keeps its context across rounds — no re-reading the project on every iteration. The lead fixes issues; the reviewer re-checks. Maximum 5 rounds.

Requires: Claude Code ≥ 2.1.32, experimental Agent Teams enabled (CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in settings or environment).


When to invoke

  • /claude-team-review — auto-detect what to review
  • /claude-team-review plan — force plan review
  • /claude-team-review code — force code review
  • /claude-team-review <file-path> — review a specific file (argument contains / or .)
  • /claude-team-review xhigh — use max effort for the reviewer

Prerequisites check

Before proceeding, verify Agent Teams are available:

  1. Check that CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS is set to 1.
  2. If not — tell the user:
    Agent Teams are not enabled. Add this to your settings.json or environment:
    CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1
    Then restart Claude Code.
    

Instructions

Step 1: Determine review mode

Check in priority order:

1. Explicit argument (plan, code, file path) → use it.

  • For plan → skip all git checks, proceed to step 2.

2. Claude Code Plan Mode — if context contains the system message "Plan mode is active" → mode = plan, skip git.

3. Auto-detect (no explicit argument, not in Plan Mode):

  1. Check for code changes (any non-empty output means changes exist):
    • git diff --name-only — unstaged
    • git diff --cached --name-only — staged
  2. Check if a plan exists in the current conversation context.
Code changes? Plan in context? Mode
No Yes plan
Yes Yes code-vs-plan
Yes No code
No No Ask the user

Step 2: Spawn the reviewer teammate

Spawn a teammate using the adversarial-reviewer agent type.

Include in the spawn prompt a briefing with the review mode and enough context to start. The reviewer is a full Claude Code session — it will explore the repo, run git commands, and read files on its own. Do not pre-collect diffs or file lists for it.

For plan review:

If the plan exists as a file:

You are reviewing an implementation plan.

Plan location: <path>

Review this plan with your full adversarial stance. Read the plan,
explore the project structure and relevant code to assess feasibility,
and deliver your findings.

End with VERDICT: APPROVED or VERDICT: REVISE.

If the plan is only in conversation context, include it inline:

You are reviewing an implementation plan.

<plan text>

Explore the project structure and relevant code to assess feasibility.
Deliver your findings.

End with VERDICT: APPROVED or VERDICT: REVISE.

For code review:

You are reviewing code changes in this repository.

Use git status, git diff, and any other git commands to find and
understand all changes. Read the surrounding code for context.
Run tests if available.

End with VERDICT: APPROVED or VERDICT: REVISE.

For code-vs-plan review:

Include the plan (path or inline text) and let the reviewer find the code changes:

You are reviewing code changes against an implementation plan.

Plan: <path or inline text>

Use git to find all changes. Check: does the implementation cover
all plan steps? Where does it deviate? What is missing?

End with VERDICT: APPROVED or VERDICT: REVISE.

Effort override: if the user passed xhigh, use the appropriate effort setting for the teammate.

Step 3: Show findings

When the reviewer responds with findings:

  1. Show the user the reviewer's response verbatim — do not rephrase:
## Team Review — Round N (mode: <plan|code|code-vs-plan>)

[Reviewer's response — verbatim]
  1. Check the verdict:
    • VERDICT: APPROVED → proceed to Step 6 (Done)
    • VERDICT: REVISE → proceed to Step 4 (Fixes)
    • No clear verdict → message the reviewer asking for a clear verdict
    • Maximum reached (5 rounds) → proceed to Step 6 with a note

Step 4: Apply fixes

Based on the reviewer's findings, the lead (you) fixes the issues:

For plan review: update the plan — address each finding.

For code review: edit files, run tests if applicable.

Show the user:

### Fixes (Round N)
- [What was changed and why, one item per finding]

Skip a fix if it contradicts the user's explicit requirements — note this for the user.

Step 5: Request re-review (Rounds 25)

Send a message to the same reviewer teammate (context is preserved):

I've revised based on your feedback.

Here's what I changed:
[List of fixes from Step 4]

Re-review with the same adversarial stance. Focus on:
1. Whether my fixes actually resolve the reported issues
2. Any NEW issues introduced by the fixes

End with VERDICT: APPROVED or VERDICT: REVISE.

The reviewer still has the full context from the previous round — it already knows the project structure, the plan, the original findings. It only needs to verify the fixes and check for new issues.

Return to Step 3.

Step 6: Final result

Approved:

## Team Review — Summary (mode: <mode>)

**Status:** Approved after N round(s)

[Final review]

---
**Reviewed and approved by the reviewer teammate. Awaiting your decision.**

Maximum rounds reached:

## Team Review — Summary (mode: <mode>)

**Status:** Maximum reached (5 rounds) — not fully approved

**Remaining findings:**
[Unresolved issues]

---
**The reviewer still has findings. Please review them and decide how to proceed.**

Step 7: Cleanup

Ask the reviewer teammate to shut down. Then clean up the team.

If cleanup fails or the user declines — continue without error. Teammates will be cleaned up when the session ends.

Do NOT delete plan files that existed before the review.


Rules

  • Lead actively fixes issues — this is NOT just message forwarding
  • Reviewer findings shown verbatim — do not rephrase or shorten
  • Auto-detect mode from context; user arguments take priority
  • The reviewer never writes files — enforced by agent definition
  • The reviewer can run commands (tests, linters, git) and use MCP (Context7, web search) to verify findings
  • Maximum 5 rounds to protect against infinite loops
  • Show the user reviews and fixes for each round
  • If Agent Teams are not enabled — tell the user how to enable them
  • If a fix contradicts user requirements — skip and explain why
  • The reviewer teammate is stateful — use message, not re-spawn, for subsequent rounds. Re-spawning wastes tokens on re-reading the project tree, re-building context, and re-discovering architecture. Messaging the existing teammate preserves all of that. Save tokens where it doesn't cost quality — spend them where it does.
  • The ultimate goal is higher quality of plans, code, and other artifacts. Token economy is a means, not an end — never skip a verification step or cut a round short just to save tokens.

Comparison with adversarial-review

Aspect adversarial-review (Codex) claude-team-review (Teams)
Reviewer model External (GPT via Codex CLI) Claude (same model family)
Cross-model blind spots Yes — different model biases No — same model, different context
Session persistence Via codex exec resume Native — teammate stays alive
External dependencies Codex CLI + OpenAI API key None — built into Claude Code
Reviewer capabilities Read-only sandbox Read + execute + MCP + web
Context isolation Full (different model) Full (separate context window)
Token cost per round External API (OpenAI pricing) Claude tokens (Max plan)