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SkillHub ClubResearch & OpsFull StackData / AISecurity

cross-model-review

Adversarial plan review using two different AI models. Supports static mode (fixed roles) and alternating mode (models swap writer/reviewer each round, fully autonomous). Use when building features touching auth/payments/data models, or plans >1hr to implement. NOT for simple fixes, research tasks, or quick scripts.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,076
Hot score
99
Updated
March 20, 2026
Overall rating
C4.6
Composite score
4.6
Best-practice grade
B75.6

Install command

npx @skill-hub/cli install openclaw-skills-cross-model-review

Repository

openclaw/skills

Skill path: skills/don-gbot/cross-model-review

Adversarial plan review using two different AI models. Supports static mode (fixed roles) and alternating mode (models swap writer/reviewer each round, fully autonomous). Use when building features touching auth/payments/data models, or plans >1hr to implement. NOT for simple fixes, research tasks, or quick scripts.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI, Security.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install cross-model-review into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding cross-model-review to shared team environments
  • Use cross-model-review for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

cross-model-review | SkillHub