Code Review Assistant
- 196 installs
- 2 repo stars
- Updated January 25, 2026
- jorgealves/agent_skills
Run structured AI-assisted code reviews on PRs or local diffs to catch bugs, style issues, security smells, and missing tests before merge or release.
About
Provides an AI code-review assistant for pull requests and local changes: analyze diffs, flag bugs and security issues, check tests and style, and output prioritized, actionable feedback before merge or release.
- PR and diff-focused review prompts
- Severity-tagged findings
- Security and test-gap detection
- Style and architecture checks
- Actionable fix suggestions
Code Review Assistant by the numbers
- 196 all-time installs (skills.sh)
- +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #344 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 196 |
|---|---|
| repo stars | ★ 2 |
| Last updated | January 25, 2026 |
| Repository | jorgealves/agent_skills ↗ |
What it does
Run structured AI-assisted code reviews on PRs or local diffs to catch bugs, style issues, security smells, and missing tests before merge or release.
Files
Code Quality Skills
This directory contains skills to maintain high standards in professional codebases.
- Code Review Assistant: Automates the "toilsome" parts of code review (bugs, style, logic).
- Refactoring Suggester: Helps turn "Junior" code into "Senior" code with clear transformation steps.
- Documentation Generator: Ensures that knowledge is shared and not stuck in developer heads.
name: code-review-assistant
version: 1.0.0
description: Provides automated, context-aware code reviews focusing on logic errors and style violations. Use during Pull Request cycles to identify potential bugs and maintain high code quality standards.
inputs:
diff:
type: string
description: The git diff or pull request content to review.
required: true
guidelines_path:
type: string
description: Path to custom coding guidelines.
outputs:
review_comments:
type: array
items:
type: object
properties:
file:
type: string
line:
type: integer
severity:
type: string
message:
type: string
capabilities:
- Static analysis for bug patterns.
- Editorconfig/Lint rule alignment checks.
- Dead code identification.
constraints:
- Cannot infer high-level architectural intent.
security:
- Diffs processed locally.
examples:
- input:
diff: "--- a/main.py\n+print('hello')"
output:
review_comments: []Related skills
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