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Code Analysis

Checked
bejranonda·vlatest·backend

Analyzes code for bugs, vulnerabilities, and performance bottlenecks, providing actionable improvement suggestions.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bejranonda/llm-autonomous-agent-plugin-for-claude --skill code-analysis -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bejranonda

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 43 lines
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.
What each check looks for →

About this skill

What it does

This skill analyzes code snippets provided as input. It can identify potential bugs, suggest improvements for readability and efficiency, and explain the purpose of specific code blocks. The analysis is designed to assist developers in understanding unfamiliar code or improving existing projects.

When to use it

  • Debugging: Provide a problematic code snippet and ask the agent to find errors or inefficiencies.
  • Code Review: Have the agent analyze code before merging into a larger project, identifying potential issues early on.
  • Learning New Languages/Frameworks: Ask the agent to explain unfamiliar code written in a language you are learning.
  • Refactoring: Request suggestions for improving existing code's structure or performance.

Key capabilities

  • Bug detection
  • Code improvement suggestions
  • Code explanation
  • Readability assessment
  • Efficiency analysis

Example prompts

  • "Analyze this Python code and identify any potential errors: [code snippet]"
  • "Explain what this JavaScript function does: [code snippet]"
  • "Suggest improvements to make this Java code more readable: [code snippet]"

Tips & gotchas

The quality of the analysis depends heavily on the clarity and completeness of the provided code. Ensure the code is properly formatted and includes any necessary context for accurate results.