Our review
Performs an exhaustive AI-powered code review using OpenAI Codex, incorporating context from GitHub, Linear, and Sentry issues.
Strengths
- Seamless integration with issue tracking systems (GitHub, Linear, Sentry) for rich context.
- Flexible options: review uncommitted changes, a specific branch, or a commit.
- Ability to include a plan file to guide the analysis.
- Interactive output directly in the terminal.
Limitations
- Requires the Codex CLI installed and authenticated.
- Depends on external API availability (Linear, Sentry) for full context.
- The 'review.py' script must be present in the project or accessible.
Use this skill before creating a pull request to get a context-aware, thorough AI review of your changes.
Avoid using it for code reviews that are not tied to any issue or when a simple diff without context is sufficient.
Security analysis
SafeThe skill describes usage of a local code review script that interacts with external APIs. There are no destructive commands, no data exfiltration instructions, and no obfuscated payloads. The script is run with controlled options and does not expose sensitive environment variables to unsafe targets.
No concerns found
Examples
Review my changes/review --issues #123Review the changes compared to main branch and include issue 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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