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Software Code Review

Listed
vasilyu1983·vlatest·backend·MIT

Analyzes backend code for bugs, security vulnerabilities, and style inconsistencies, suggesting improvements based on best practices.

Repository

Install on your platform

This skill no longer installs under the name software-code-review. vasilyu1983/ai-agents-public is deleted or private, so it cannot be installed from.

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

vasilyu1983

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 98 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as vasilyu1983/ai-agents-public.
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 enables AI agents to analyze and critique software code, identifying potential bugs, security vulnerabilities, and style inconsistencies. It helps maintain high code quality standards by providing automated feedback on logic errors and best practices.

When to use it

  • Before merging pull requests in a collaborative development environment.
  • When auditing third-party libraries or open-source dependencies for security risks.
  • During refactoring sessions to ensure legacy code adheres to modern coding standards.
  • To validate complex algorithms before deployment to production environments.

Key capabilities

  • Automated detection of syntax errors and logical flaws in source files.
  • Identification of common security vulnerabilities such as SQL injection or buffer overflows.
  • Analysis of code style compliance against specific frameworks or team guidelines.
  • Suggestion of optimized refactoring paths to improve performance and readability.

Example prompts

  • "Review this Python function for potential race conditions and suggest fixes."
  • "Analyze the provided JavaScript module for security vulnerabilities and memory leaks."
  • "Check if this C++ implementation follows modern concurrency best practices."

Tips & gotchas

Ensure the AI agent has access to the full context of the codebase, as isolated snippets may miss critical dependencies that cause errors. While powerful, always verify automated suggestions against specific project requirements before applying changes.