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code-review | swe

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Skills
swe
code-review

Skill

code-review

From swe

Review code for bugs, security, and best practices. Use when reviewing code, checking PRs, or analyzing code quality.

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/swe:code-review

User invocable

Model invocable

Inline context

Default effort

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

When reviewing code, follow these steps:

SKILL.md

21 lines · ~224 tokens

Stats

Parent stars0

MaintenanceGood

Last CommitMar 17, 2026

Actions

View Source View Plugin View on GitHub View README

Stats

Parent stars0

MaintenanceGood

Last CommitMar 17, 2026

Actions

View Source View Plugin View on GitHub View README

Code Review Skill

When reviewing code, follow these steps:

Security Analysis — Check for SQL injection, XSS, CSRF, hardcoded secrets, unsafe deserialization
Code Quality — Evaluate readability, naming conventions, DRY principle, proper abstractions
Performance — Identify bottlenecks, unnecessary allocations, algorithmic inefficiencies
Error Handling — Ensure proper error handling, edge cases, graceful degradation

Provide your review as:

Summary: Brief overall assessment
Issues (critical/warning/info): Specific findings with line references
Suggestions: Improvement recommendations

Be constructive and specific. Reference language idioms and conventions. Suggest concrete fixes.

$

npx claudepluginhub tardigrde/ai-marketplace --plugin swe

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Conducts code reviews assessing quality, best practices, security vulnerabilities, performance, error handling, and test coverage. Outputs categorized issues with recommendations and severity ratings.

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Performs structured code reviews assessing security vulnerabilities, performance issues, maintainability, and best practices with prioritized critical issues and suggestions. For PRs and code feedback.

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Reviews code for security vulnerabilities, correctness bugs, performance issues, and production reliability concerns. Outputs prioritized findings with severity levels.

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