Is the Multi-Model Adversarial Review skill free?

Yes. The skill itself is free from prime-radiant-inc/parallel-adversarial-review. SkillProof publishes the install command and an independent test verdict at no cost.

What is the Multi-Model Adversarial Review SkillProof Score?

8.0/10 — installs cleanly 3/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 5/5.

How do I install Multi-Model Adversarial Review?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use Multi-Model Adversarial Review with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

Multi-Model Adversarial Review

Runs claude/codex/gemini as independent reviewers, has them cross-critique, then synthesizes one deduped report

by prime-radiant-inc · prime-radiant-inc/parallel-adversarial-review

Works with setup

Install — copy the command Download source ↗

Test report

Verdict: Works with setup
Score: 8.0/10
Tested: Jul 15, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · b8bbf7e

The SKILL.md body calls ${CLAUDE_PLUGIN_ROOT}/scripts/mmar.py, a 645-line driver that lives at the repo root, not inside the skill folder -- a bare copy 404s in real GitHub raw fetches and errors 'No such file or directory' when actually run; but running the real driver in the project's own mock mode against its bundled fixtures worked perfectly (4/4 eval fixtures passed, and it correctly caught and dropped a fabricated Gemini finding that two other reviewers flagged as fiction) -- so the mechanism itself is genuinely good, it just needs the whole repo/plugin, not the skill subfolder alone.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 3/5
Triggers reliably 5/5
Output vs. baseline 7/10
Docs & honesty 5/5

What Multi-Model Adversarial Review does

A three-stage driver (parallel review, NxN-1 cross-critique, synthesis) that shells out to whichever coding-agent CLIs you have installed, drops findings a critic proves are fabricated, and escalates severity on disagreement. Triggers on 'MMAR review', 'multi-model review', 'cross-model adversarial', or 'review with all the models' for high-stakes diffs; the project's own guidance says to use its cheaper sibling skill for routine review.

How to install Multi-Model Adversarial Review

git clone https://github.com/prime-radiant-inc/parallel-adversarial-review
cd parallel-adversarial-review
mkdir -p ~/.claude/skills
cp -r skills/multi-model-adversarial-review ~/.claude/skills/multi-model-adversarial-review

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger Multi-Model Adversarial Review

/multi-model-adversarial-review Runs claude/codex/gemini as independent reviewers, has them cross-critique, then synthesizes one deduped report

It also activates on plain-language prompts like these:

Run a full cross-model review on this PR before we merge to main
This diff is security-critical, get several models to cross-check each other
One reviewer isn't enough here, have Claude, Codex, and Gemini all weigh in

Frequently asked questions

Is the Multi-Model Adversarial Review skill free?: Yes. The skill itself is free from prime-radiant-inc/parallel-adversarial-review. SkillProof publishes the install command and an independent test verdict at no cost.
Does Multi-Model Adversarial Review work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 15, 2026. Verdict: Works with setup. The SKILL.md body calls ${CLAUDE_PLUGIN_ROOT}/scripts/mmar.py, a 645-line driver that lives at the repo root, not inside the skill folder -- a bare copy 404s in real GitHub raw fetches and errors 'No such file or directory' when actually run; but running the real driver in the project's own mock mode against its bundled fixtures worked perfectly (4/4 eval fixtures passed, and it correctly caught and dropped a fabricated Gemini finding that two other reviewers flagged as fiction) -- so the mechanism itself is genuinely good, it just needs the whole repo/plugin, not the skill subfolder alone.
What is the Multi-Model Adversarial Review SkillProof Score?: 8.0/10 — installs cleanly 3/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 5/5.
How do I install Multi-Model Adversarial Review?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Multi-Model Adversarial Review with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.