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Skills/langgenius/dify/backend-code-review
backend-code-review logo

backend-code-review

langgenius/dify
996 installs145K stars
Run it on Hostinger β†’up to 70% off + an extra 10% with code ZACAARON10Free API β†’

Installation

npx skills add https://github.com/langgenius/dify --skill backend-code-review

Summary

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

SKILL.md

Backend Code Review

When to use this skill

Use this skill whenever the user asks to review, analyze, or improve backend code (e.g., .py) under the api/ directory. Supports the following review modes:

  • Pending-change review: when the user asks to review current changes (inspect staged/working-tree files slated for commit to get the changes).
  • Code snippets review: when the user pastes code snippets (e.g., a function/class/module excerpt) into the chat and asks for a review.
  • File-focused review: when the user points to specific files and asks for a review of those files (one file or a small, explicit set of files, e.g., api/..., api/app.py).

Do NOT use this skill when:

  • The request is about frontend code or UI (e.g., .tsx, .ts, .js, web/).
  • The user is not asking for a review/analysis/improvement of backend code.
  • The scope is not under api/ (unless the user explicitly asks to review backend-related changes outside api/).

How to use this skill

Follow these steps when using this skill:

  1. Identify the review mode (pending-change vs snippet vs file-focused) based on the user’s input. Keep the scope tight: review only what the user provided or explicitly referenced.
  2. Follow the rules defined in Checklist to perform the review. If no Checklist rule matches, apply General Review Rules as a fallback to perform the best-effort review.
  3. Compose the final output strictly follow the Required Output Format.

Notes when using this skill:

  • Always include actionable fixes or suggestions (including possible code snippets).
  • Use best-effort File:Line references when a file path and line numbers are available; otherwise, use the most specific identifier you can.

Checklist

  • db schema design: if the review scope includes code/files under api/models/ or api/migrations/, follow references/db-schema-rule.md to perform the review
  • architecture: if the review scope involves controller/service/core-domain/libs/model layering, dependency direction, or moving responsibilities across modules, follow references/architecture-rule.md to perform the review
  • repositories abstraction: if the review scope contains table/model operations (e.g., select(...), session.execute(...), joins, CRUD) and is not under api/repositories, api/core/repositories, or api/extensions/*/repositories/, follow references/repositories-rule.md to perform the review
  • sqlalchemy patterns: if the review scope involves SQLAlchemy session/query usage, db transaction/crud usage, or raw SQL usage, follow references/sqlalchemy-rule.md to perform the review

General Review Rules

1. Security Review

Check for:

  • SQL injection vulnerabilities
  • Server-Side Request Forgery (SSRF)
  • Command injection
  • Insecure deserialization
  • Hardcoded secrets/credentials
  • Improper authentication/authorization
  • Insecure direct object references

2. Performance Review

Check for:

  • N+1 queries
  • Missing database indexes
  • Memory leaks
  • Blocking operations in async code
  • Missing caching opportunities

3. Code Quality Review

Check for:

  • Code forward compatibility
  • Code duplication (DRY violations)
  • Functions doing too much (SRP violations)
  • Deep nesting / complex conditionals
  • Magic numbers/strings
  • Poor naming
  • Missing error handling
  • Incomplete type coverage

4. Testing Review

Check for:

  • Missing test coverage for new code
  • Tests that don't test behavior
  • Flaky test patterns
  • Missing edge cases

Required Output Format

When this skill invoked, the response must exactly follow one of the two templates:

Template A (any findings)

# Code Review Summary

Found <X> critical issues need to be fixed:

## πŸ”΄ Critical (Must Fix)

### 1. <brief description of the issue>

FilePath: <path> line <line>
<relevant code snippet or pointer>

#### Explanation

<detailed explanation and references of the issue>

#### Suggested Fix

1. <brief description of suggested fix>
2. <code example> (optional, omit if not applicable)

---
... (repeat for each critical issue) ...

Found <Y> suggestions for improvement:

## 🟑 Suggestions (Should Consider)

### 1. <brief description of the suggestion>

FilePath: <path> line <line>
<relevant code snippet or pointer>

#### Explanation

<detailed explanation and references of the suggestion>

#### Suggested Fix

1. <brief description of suggested fix>
2. <code example> (optional, omit if not applicable)

---
... (repeat for each suggestion) ...

Found <Z> optional nits:

## 🟒 Nits (Optional)
### 1. <brief description of the nit>

FilePath: <path> line <line>
<relevant code snippet or pointer>

#### Explanation

<explanation and references of the optional nit>

#### Suggested Fix

- <minor suggestions>

---
... (repeat for each nits) ...

## βœ… What's Good

- <Positive feedback on good patterns>
  • If there are no critical issues or suggestions or option nits or good points, just omit that section.
  • If the issue number is more than 10, summarize as "Found 10+ critical issues/suggestions/optional nits" and only output the first 10 items.
  • Don't compress the blank lines between sections; keep them as-is for readability.
  • If there is any issue requires code changes, append a brief follow-up question to ask whether the user wants to apply the fix(es) after the structured output. For example: "Would you like me to use the Suggested fix(es) to address these issues?"

Template B (no issues)

## Code Review Summary
βœ… No issues found.

Score

0–100
65/ 100

Grade

C

Popularity17/30

996 installs β€” growing adoption. Source repo has 145,220 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness β€” computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Backend Code Review skill score badge previewScore badge

Markdown

[![Backend Code Review skill](https://www.claudemarket.ai/skills/langgenius/dify/backend-code-review/badges/score.svg)](https://www.claudemarket.ai/skills/langgenius/dify/backend-code-review)

HTML

<a href="https://www.claudemarket.ai/skills/langgenius/dify/backend-code-review"><img src="https://www.claudemarket.ai/skills/langgenius/dify/backend-code-review/badges/score.svg" alt="Backend Code Review skill"/></a>

Backend Code Review FAQ

How do I install the Backend Code Review skill?

Run β€œnpx skills add https://github.com/langgenius/dify --skill backend-code-review” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run β€” no restart or extra configuration needed.

What does the Backend Code Review skill do?

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Backend Code Review skill free?

Yes. Backend Code Review is a free, open-source skill published from langgenius/dify. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Backend Code Review work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Backend Code Review works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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