contextual-review
Automated code review assistant for PRs, focusing on quality, security, and maintainability.
Install
mkdir -p .claude/skills/contextual-review && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8709" && unzip -o skill.zip -d .claude/skills/contextual-review && rm skill.zipInstalls to .claude/skills/contextual-review
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Review pull requests for code quality, security vulnerabilities, best practices, and potential issues. Use when reviewing PRs, examining diffs, or providing code review feedback.Key capabilities
- →Review code diffs
- →Check project architecture patterns
- →Provide structured feedback
How it works
The skill analyzes code changes against project-specific guidelines and security standards, providing categorized feedback.
Inputs & outputs
When to use contextual-review
- →Reviewing pull request diffs
- →Checking code against project architecture patterns
- →Identifying potential security flaws in new code
About this skill
Contextual Review
Perform comprehensive reviews of code changes, implementation plans, and architecture decisions. Analyzes for quality, correctness, security, and adherence to project standards.
First: Read the Base Guidelines
Before reviewing any code, read base-review.md. It establishes:
- Reviewer philosophy (respect existing patterns, burden of proof on changes)
- Core quality standards (type safety, transaction integrity, data access, caching)
- Severity calibration with codebase-specific examples
- Common blind spots that reviewers unfamiliar with this codebase miss
The base guidelines apply to ALL reviews. Area-specific guides add targeted checklists.
When to Use
- Reviewing pull request changes
- Examining workspace diffs before creating a PR
- Getting feedback on code changes
- Identifying potential issues before merging
- Reviewing gameplans and implementation plans before execution
- Validating data model and API design decisions
Area-Specific Guidelines
Based on what files changed, consult the appropriate reference:
| Changed Files | Reference |
|---|---|
platform/docs/ | docs-review.md - Documentation review guidelines |
platform/flowglad-next/src/db/schema/, openapi.json, api-contract/ | api-review.md - Data model and API review |
packages/ | packages-review.md - SDK package review |
playground/ | playground-review.md - Example project review |
platform/flowglad-next/ | platform-review.md - Main platform review |
For reviewing implementation plans before code is written:
| Review Type | Reference |
|---|---|
| Gameplans / Implementation Plans | gameplan-review.md - Pre-implementation plan review |
Read the relevant reference file(s) based on the diff to get area-specific checklists and guidelines.
Review Process
0. Checkout PR
Run gh pr checkout <PR> to get the PR code locally. If it fails, continue with the review.
1. Gather Context
First, understand the scope of changes:
# Get the diff statistics to understand what files changed
GetWorkspaceDiff with stat: true
# Then examine individual file changes
GetWorkspaceDiff with file: 'path/to/file'
2. Review Categories
Analyze changes across these dimensions:
| Category | Focus Areas |
|---|---|
| Correctness | Logic errors, edge cases, null handling, off-by-one errors |
| Security | Input validation, injection risks, auth/authz, secrets exposure |
| Performance | N+1 queries, unnecessary loops, missing indexes, memory leaks |
| Maintainability | Code clarity, naming, DRY violations, complexity |
| Testing | Test coverage, edge cases tested, test quality |
| Types | Type safety, proper typing, avoiding any |
3. Project-Specific Checks
For this codebase, also verify:
- Bun: Using
buninstead ofnpmoryarn - Drizzle ORM: Schema changes use
migrations:generate, never manual migrations - Testing Guidelines:
- No mocking unless for network calls
- No
.spyOnor dynamic imports - No
anytypes in tests - Each
itblock should have specific assertions, nottoBeDefined - One scenario per
itwith exhaustive assertions
- Security: Check OWASP top 10 vulnerabilities (XSS, injection, etc.)
4. Provide Feedback
Use the DiffComment tool to leave targeted feedback:
DiffComment({
comments: [
{
file: "path/to/file.ts",
lineNumber: 42,
body: "Potential SQL injection vulnerability. Consider using parameterized queries."
}
]
})
Review Checklist
Code Quality
- Clear, descriptive variable and function names
- Functions are focused and not too long
- No dead code or commented-out code
- Error handling is appropriate
- Edge cases are handled
Security
- No hardcoded secrets or credentials
- Input is validated and sanitized
- No SQL injection vectors
- No XSS vulnerabilities
- Authentication/authorization is correct
- Sensitive data is not logged
Performance
- No unnecessary database queries
- Appropriate use of indexes
- No obvious memory leaks
- Pagination for large datasets
- Caching where appropriate
Testing
- New code has tests
- Tests cover happy path and error cases
- Tests are meaningful, not just for coverage
- No flaky test patterns
TypeScript
- Proper types used (no
anywithout justification) - Type narrowing is correct
- Generic types are appropriate
- Null/undefined handled properly
Output Format
Provide a structured review with:
- Summary: Brief overview of what the PR does
- Findings: Categorized issues (Critical, High, Medium, Low, Suggestions)
- Positive Notes: Good patterns or improvements noticed
- Recommendation: Approve, Request Changes, or Comment
Severity Levels
- Critical: Security vulnerabilities, data loss risks, breaking changes
- High: Bugs, significant performance issues, missing error handling
- Medium: Code quality issues, missing tests, unclear logic
- Low: Style issues, minor improvements, nitpicks
- Suggestion: Optional improvements, alternative approaches
Example Review
## Summary
This PR adds user authentication using JWT tokens with refresh token support.
## Findings
### Critical
- **src/auth/token.ts:45**: JWT secret is hardcoded. Move to environment variable.
### High
- **src/auth/login.ts:23**: Missing rate limiting on login endpoint.
### Medium
- **src/auth/validate.ts:12**: Token expiration check should use `<=` not `<` to handle exact expiration time.
### Suggestions
- Consider adding request ID to auth logs for debugging.
## Positive Notes
- Good separation of concerns between token generation and validation
- Comprehensive error types for different auth failures
## Recommendation
**Request Changes** - Address the critical security issue before merging.
Workflow
- Attempt to checkout the PR with
gh pr checkout <PR>(continue if it fails) - Get diff statistics with
GetWorkspaceDiff(stat: true) - Review changed files systematically
- Use
DiffCommentfor inline feedback - Provide overall summary and recommendation
- Offer to help fix any critical issues
When not to use it
- →Tasks unrelated to code review
Prerequisites
Limitations
- →Requires adherence to base-review.md guidelines
- →Severity levels are predefined
How it compares
It enforces project-specific standards and automated checks rather than relying on generic manual review.
Compared to similar skills
contextual-review side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| contextual-review (this skill) | 0 | 6mo | No flags | Intermediate |
| github-code-review | 13 | 2mo | Review | Advanced |
| reviewing-code | 21 | 8mo | No flags | Intermediate |
| reviewing-nextjs-16-patterns | 11 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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