Our review
Performs an exhaustive code review using OpenAI Codex, gathering context from GitHub, Linear, and Sentry issues.
Strengths
- In-depth code analysis with context from issues and project plans
- Supports uncommitted changes, specific branches, and commits
- Integrates with GitHub, Linear, and Sentry for rich context
Limitations
- Requires the codex CLI to be installed and authenticated
- Defaults to uncommitted changes only; may prompt if none exist
- Needs environment variables for Linear and Sentry integration
Use this skill before creating a pull request or after completing feature work to get a detailed review.
Avoid using it for trivial changes or when you need a quick live review without setup.
Security analysis
SafeThe skill runs a local Python script with user-provided arguments; no destructive commands, no external downloads, no obfuscation. It uses Bash but only to execute a predefined review tool, which is a legitimate use case. No risk of data exfiltration or system damage from the skill itself.
No concerns found
Examples
Review my uncommitted changesReview my changes against main branchReview my changes referencing GitHub issue #123 and Linear PROJ-456name: review description: | Exhaustive code review using OpenAI Codex. Use when user says "review", "/review", "review my changes", or wants AI-powered code analysis. Gathers context from GitHub/Linear/Sentry issues. allowed-tools: Bash, Read, Glob, Grep
Review
Exhaustive AI-powered code review via OpenAI Codex.
When to Use
- User says "review", "/review", "review my changes"
- Before creating PR
- After completing feature work
Workflow
1. Gather Issue References
Scan conversation for:
- GitHub: #123, org/repo#123, GitHub URLs
- Linear: PROJ-123, Linear URLs
- Sentry: sentry:ID, Sentry URLs
2. Read Plan File (if exists)
Check for active plan in conversation or ~/.claude/plans/
3. Read Referenced Files
If user mentions @file.ts or specific files, include content.
4. Run Review
# Default: reviews uncommitted changes if any exist
./scripts/review.py codex \
--issues "#123,PROJ-456" \
--plan ./plan.md \
--files "src/api.ts"
# If no uncommitted changes, prompts for branch/commit to compare
Command
./scripts/review.py codex [OPTIONS]
Options
| Option | Description |
|--------|-------------|
| --base, -b BRANCH | Compare against branch |
| --uncommitted, -u | Review staged/unstaged/untracked changes (default if changes exist) |
| --commit, -c SHA | Review specific commit |
| --issues, -i REFS | Issue refs: #123, PROJ-456, sentry:ID, or URLs |
| --plan, -p PATH | Plan file for context |
| --files, -f PATHS | Additional files (comma-separated) |
| --title, -t TEXT | Commit/PR title for summary |
| --model, -m MODEL | Codex model (default: gpt-5.1-codex-max) |
Context Command
Gather context without running review:
./scripts/review.py context [OPTIONS]
| Option | Description |
|--------|-------------|
| --issues, -i REFS | Issue refs (comma-separated) |
| --plan, -p PATH | Plan file path |
| --files, -f PATHS | Additional files (comma-separated) |
| --output, -o FORMAT | json or markdown (default: markdown) |
Requirements
codexCLI installed and authenticatedLINEAR_API_KEY- (optional) Linear API key for Linear issuesSENTRY_AUTH_TOKEN- (optional) Sentry auth tokenSENTRY_ORG- (optional) Sentry org slug
Output
The script displays gathered context to stderr, then launches codex review interactively. Codex outputs its review directly to the terminal.
Examples
# Default: review uncommitted changes (or prompt if none)
./scripts/review.py codex
# Explicitly review uncommitted changes
./scripts/review.py codex --uncommitted
# Review changes against specific branch
./scripts/review.py codex --base main
# Review with GitHub issue context
./scripts/review.py codex --issues "#123"
# Review with plan file
./scripts/review.py codex --plan ./plan.md
# Gather context as JSON (without running review)
./scripts/review.py context --issues "#123" --output json
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