name: deep-review
description: Multi-model code review. Runs code-review skill with 3 models in parallel, then synthesizes findings.

Deep Review

Runs the code-review skill with 3 different models in parallel, then synthesizes.

Process

1. Get the PR diff (same as code-review)
   bash # If PR number provided, use it. Otherwise current branch. gh pr diff [PR_NUMBER] > /tmp/pr-diff.txt

2. Run 3 parallel reviews via bash
   bash pi --model claude-opus-4-5 "Read and follow ~/.pi/agent/skills/code-review/SKILL.md to review the PR. Diff is at /tmp/pr-diff.txt" > /tmp/review-opus.md & pi --model gpt-5.2-codex "Read and follow ~/.pi/agent/skills/code-review/SKILL.md to review the PR. Diff is at /tmp/pr-diff.txt" > /tmp/review-codex.md & pi --model gemini-2.5-pro "Read and follow ~/.pi/agent/skills/code-review/SKILL.md to review the PR. Diff is at /tmp/pr-diff.txt" > /tmp/review-gemini.md & wait

3. Synthesize findings
   Read all 3 review files and combine:

4. 🔴 Consensus - issues found by 2+ models (high confidence)
5. 🟡 Unique - found by only one model (note which)
6. Resolve contradictions, filter obvious false positives
7. Final verdict: merge / fix first / needs discussion