Agent Review Panel
Orchestrate a multi-agent adversarial review panel where several Claude Code subagents with different perspectives independently review a piece of work, debate with each other, reach (or fail to reach) consensus, then a supreme judge renders the final verdict. Use this skill whenever the user asks for a "review panel", "multi-agent review", "adversarial review", "have agents debate this", "review with multiple perspectives", "panel review", "get different opinions on this code/plan/doc", or invokes /agent-review-panel. Also trigger when a user says things like "I want thorough feedback from different angles", "stress-test this design", "red team this", "get a second (third, fourth) opinion", "fresh eyes on this", "multiple reviewers", "devil's advocate perspective", "every angle covered", "I want agents to argue pros and cons", "independently evaluate", "critical look from security and performance angles", "high-stakes — cover every angle", or "debate the pros and cons". This skill is specifically about launching multiple reviewer agents with distinct personas who discuss and debate — NOT for single-reviewer code review, quick sanity checks, bug fixes, deployment tasks, addressing existing PR comments, skill improvement, peer review, code explanation, or writing tests. Supports "deep research mode" when user says "deep review", "thorough review", "research review", or passes "deep" to /agent-review-panel — adds web research for domain best practices before launching reviewers. Supports "multi-run union mode" when user says "multi-run review", "run N times and merge", "run twice", "run 3 times", or "maximum coverage review" — repeats the panel with rotated persona sets and merges results with stability scoring. Supports "data flow trace tiers" (Standard/Thorough/Exhaustive) when user says "thorough review", "exhaustive review", "trace everything", or "catch all bugs" — dedicates a pre-review phase to tracing data through critical paths and flagging composition/seam bugs.
From the source SKILL.md
A multi-agent adversarial review system based on nine research foundations: ChatEval (ICLR 2024), AutoGen, Du et al. (ICML 2024), MachineSoM (ACL 2024), DebateLLM, DMAD (ICLR 2025), "Talk Isn't Always Cheap" (ICML 2025), CONSENSAGENT (ACL 2025), Trust or Escalate (ICLR 2025 Oral).
What this skill does
Agent Review Panel is a community-contributed Claude Code skill in the security-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/agent-review-panel/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The Agent Review Panel Claude Code skill is built for security engineers, penetration testers, DevSecOps practitioners, and development teams hardening codebases and infrastructure. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 117,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/agent-review-panel
curl -L https://claudskills.com/skills/agent-review-panel/SKILL.md \
-o ~/.claude/skills/agent-review-panel/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/agent-review-panel/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/agent-review-panel/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\agent-review-panel\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Agent Review Panel Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/agent-review-panel/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Agent Review Panel skill do?
Orchestrate a multi-agent adversarial review panel where several Claude Code subagents with different perspectives independently review a piece of work, debate with each other, reach (or fail to reach) consensus, then a supreme judge renders the final verdict. Use this skill whenever the user asks for a "review panel", "multi-agent review", "adversarial review", "have agents debate this", "review with multiple perspectives", "panel review", "get different opinions on this code/plan/doc", or invokes /agent-review-panel. Also trigger when a user says things like "I want thorough feedback from different angles", "stress-test this design", "red team this", "get a second (third, fourth) opinion", "fresh eyes on this", "multiple reviewers", "devil's advocate perspective", "every angle covered", "I want agents to argue pros and cons", "independently evaluate", "critical look from security and performance angles", "high-stakes — cover every angle", or "debate the pros and cons". This skill is specifically about launching multiple reviewer agents with distinct personas who discuss and debate — NOT for single-reviewer code review, quick sanity checks, bug fixes, deployment tasks, addressing existing PR comments, skill improvement, peer review, code explanation, or writing tests. Supports "deep research mode" when user says "deep review", "thorough review", "research review", or passes "deep" to /agent-review-panel — adds web research for domain best practices before launching reviewers. Supports "multi-run union mode" when user says "multi-run review", "run N times and merge", "run twice", "run 3 times", or "maximum coverage review" — repeats the panel with rotated persona sets and merges results with stability scoring. Supports "data flow trace tiers" (Standard/Thorough/Exhaustive) when user says "thorough review", "exhaustive review", "trace everything", or "catch all bugs" — dedicates a pre-review phase to tracing data through critical paths and flagging composition/seam bugs.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Agent Review Panel skill?
Use Agent Review Panel when your Claude Code task falls under the Security category — specifically in the security misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Agent Review Panel" or describe the task and let Claude pick). Browse related skills at
/category/security/.
What is a Claude Code skill and how does the Agent Review Panel skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Agent Review Panel is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Security category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
wan-huiyan. (2026). Agent Review Panel [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/agent-review-panel/
BibTeX
@misc{agent-review-panel-2026,
author = {wan-huiyan},
title = {Agent Review Panel [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/agent-review-panel/}
}
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