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Code Review

Listed
pv-udpv·vlatest·backend

Automates Python code reviews focusing on UDP/IPv4 network programming best practices and potential vulnerabilities.

Repository

Install on your platform

This skill no longer installs under the name code-review. pv-udpv/pplx-sdk 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

pv-udpv

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. repository not found or private Source recorded as pv-udpv/pplx-sdk.
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 capabilities, analyzing code for potential bugs, style inconsistencies, and adherence to best practices. It can identify common coding errors, suggest improvements, and ensure consistency across a codebase. The tool aims to improve code quality and reduce the time spent on manual reviews.

When to use it

  • Reviewing pull requests before merging into a main branch.
  • Automating initial feedback for new contributors.
  • Ensuring consistent coding style within a team.
  • Identifying potential security vulnerabilities in newly written code.

Key capabilities

  • Automated bug detection
  • Style consistency checks
  • Adherence to best practices analysis
  • Code improvement suggestions

Example prompts

  • "Review this Python pull request: [link to pull request]"
  • "Analyze this JavaScript file for potential errors and style issues: [file content]"
  • "Check this code snippet against our team's coding standards: [code snippet]"

Tips & gotchas

The effectiveness of the review depends on having clear, well-defined coding standards or best practices to guide the analysis. Ensure the AI agent has access to relevant project context for optimal results.