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Code Review

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paulrberg·vlatest·backend·MIT

Automated code review focusing on Python/Django best practices, security vulnerabilities, and performance optimizations from paulrberg.

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This skill no longer installs under the name code-review. paulrberg/agent-skills has no skill named "code-review" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

paulrberg

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 46 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as paulrberg/agent-skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill provides automated code review for Python and Django projects, focusing on identifying high-impact defects related to security vulnerabilities, correctness issues, and performance optimizations. It analyzes changes made to a codebase within a Git repository and reports findings with supporting evidence and suggested fixes. The skill prioritizes critical issues over minor style concerns.

When to use it

  • Before submitting code for review by human developers.
  • To proactively identify potential security vulnerabilities in your Python/Django project.
  • As part of an automated CI/CD pipeline to ensure code quality and consistency.
  • When needing a quick assessment of the impact of recent code changes.

Key capabilities

  • Automated defect identification: Identifies issues related to behavior regressions, error-path safety, security vulnerabilities, and performance optimizations.
  • Severity assignment: Categorizes findings by severity (CRITICAL, HIGH, MEDIUM, LOW).
  • Evidence-based reporting: Provides location, impact, evidence, confidence level, and concrete fix suggestions for each finding.
  • Automatic fixes: With the --fix flag, applies suggested fixes in order of severity and re-runs checks to verify changes.
  • Scope control: Allows users to specify a scope (files or commits) for review, or defaults to session-modified files within a Git repository.

Example prompts

  • "Review these code changes."
  • "Run code review on the src/models.py file."
  • "Perform a code review with automatic fixes."

Tips & gotchas

  • The skill requires a valid Git repository context to function correctly. Ensure you are running it from within a Git repository.
  • By default, the skill only analyzes session-modified files. Use specific paths or commit ranges to expand the scope of the review.
  • Generated and low-signal files (like lockfiles) are excluded by default.