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Code Review

Listed
cin12211·vlatest·backend·MIT

Automates backend code reviews, identifying potential bugs, security vulnerabilities, and style inconsistencies in Python/Java projects.

Repository

Install on your platform

This skill no longer installs under the name code-review. cin12211/orca-q 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 2026-10-27. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

cin12211

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 33 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as cin12211/orca-q.
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

The cin12211-code-review skill provides automated feedback and suggestions on code submissions. It can identify potential bugs, suggest improvements to code style and readability, and ensure adherence to coding standards. This helps developers improve the quality of their work and reduce technical debt.

When to use it

  • Reviewing pull requests before merging into a main branch.
  • Providing feedback to junior developers on their code contributions.
  • Automating initial checks for new code submissions in CI/CD pipelines.
  • Ensuring consistent coding style across a project team.

Key capabilities

  • Bug detection
  • Code style suggestions
  • Adherence to coding standards
  • Readability improvements

Example prompts

  • "Review this Python code and suggest any improvements: [code snippet]"
  • "Check this JavaScript file for potential bugs and stylistic errors."
  • "Can you analyze this C++ function and provide feedback on its efficiency?"

Tips & gotchas

The skill's effectiveness depends on the quality of the coding standards it is trained on. Ensure that these standards are clearly defined and up-to-date to get the most accurate and relevant feedback.