Exhaustive AI-Powered Code Review

VerifiedSafe

Triggers on 'review' or '/review' to perform an exhaustive AI-powered code review using OpenAI Codex. It collects issue references from GitHub, Linear, and Sentry, reads any plan or referenced files, then runs a customizable review script on uncommitted changes or a specific branch/commit. Ideal before creating a pull request or after completing feature work.

Sby Skills Guide Bot
TestingIntermediate
606/2/2026
Claude Code
#code-review#openai-codex#github-integration#linear#sentry

Recommended for

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
When to use it

Use this skill before creating a pull request or after completing feature work to get a detailed review.

When not to use it

Avoid using it for trivial changes or when you need a quick live review without setup.

Security analysis

Safe
Quality score88/100

The 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 uncommitted changes
Review my uncommitted changes
Review against main branch
Review my changes against main branch
Review with issue context
Review my changes referencing GitHub issue #123 and Linear PROJ-456

name: 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

  • codex CLI installed and authenticated
  • LINEAR_API_KEY - (optional) Linear API key for Linear issues
  • SENTRY_AUTH_TOKEN - (optional) Sentry auth token
  • SENTRY_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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