gemini-review

Installation
SKILL.md

Gemini Code Review

Overview

Use the Gemini CLI to perform AI-powered code reviews with gemini-3.1-pro-preview — Google's most capable reasoning model. Supports reviewing branches, uncommitted changes, specific commits, remote PRs, and custom-scoped reviews. Reviews are read-only and never modify the working tree.

Prerequisites

  • Gemini CLI installed and authenticated
  • gemini command available in PATH

Workflow

Step 1: Determine Review Scope

Ask the user what they want reviewed if not already clear:

Scope When to use
Branch diff Before opening or merging a PR
Uncommitted changes During active development
Specific commit Auditing a single changeset
Remote PR Reviewing a GitHub Pull Request by number or URL
Custom User provides specific review instructions

Step 2: Run the Review

Branch review (compare current branch against base):

scripts/gemini-review.sh branch --base main

Uncommitted changes:

scripts/gemini-review.sh uncommitted

Specific commit:

scripts/gemini-review.sh commit <SHA>

Remote PR (checks out and reviews a GitHub PR):

scripts/gemini-review.sh pr <PR_NUMBER>

Custom review with focused instructions:

scripts/gemini-review.sh branch --base main --focus "Review for accessibility regressions and WCAG compliance"

Structured output for LLM consumption (used by council-review):

scripts/gemini-review.sh branch --base main --format structured

Step 3: Present Results

The script outputs a review in one of two formats depending on --format:

Markdown format (default)

Human-readable output with:

  • Verdict: Approved / Approved with suggestions / Request Changes
  • Summary: 2-3 sentence high-level overview
  • Changes Walkthrough: Table summarizing what changed in each file
  • Findings: All issues with explicit severity emoji (🔴🟠🟡🟢🔵), category, file:line reference, explanation, and suggested fix — sorted by severity
  • Highlights: Positive patterns worth calling out
  • Verdict: Final recommendation restated with justification

Structured format (--format structured)

YAML output optimized for LLM parsing and synthesis (e.g., by the council-review skill):

verdict: approved | approved_with_suggestions | request_changes
summary: |
  2-3 sentence overview.
changes:
  - file: path/to/file.ts
    description: Brief description of changes
findings:
  - severity: critical | high | medium | low | info
    category: bug | security | performance | maintainability | edge_case | testing | style
    file: path/to/file.ts
    line: 42
    title: Short title
    description: |
      Explanation of the issue.
    suggestion: |
      code fix here
highlights:
  - Short description of a positive pattern

Step 4: Cleanup (Remote PRs only)

After reviewing a remote PR, ask the user if they want to switch back to the original branch.

Severity Levels

Emoji Level Criteria
🔴 Critical Exploitable vulnerability, data loss, or crash in production
🟠 High Likely bug or incident under realistic conditions
🟡 Medium Incorrect behavior under edge cases or degraded performance
🟢 Low Code quality issue that could escalate over time
🔵 Info Observation or suggestion, no action required

Common Options

Option Description
--base <BRANCH> Base branch for comparison (default: main)
--focus <TEXT> Narrow the review to specific concerns
--format <FORMAT> Output format: markdown (default) or structured (YAML for LLM consumption)
--context-file <PATH> Add extra context file (repeatable)
--dry-run Print the prompt without calling Gemini
--interactive Keep Gemini chat open for follow-up questions

Rules

  • Default to reviewing the current branch diff against main unless the user specifies otherwise
  • Always use the wrapper script — it enforces gemini-3.1-pro-preview model and read-only mode
  • Sort findings by severity: Critical/High first, then Medium, then Low/Info
  • Every finding must include an explicit severity level — never rely on implicit ordering alone
  • If Gemini CLI is not installed, instruct the user to install and authenticate it
  • When called from council-review, always use --format structured for reliable LLM parsing
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Installs
5
GitHub Stars
4
First Seen
Feb 26, 2026