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Codebase Analysis

Checked
akiselev·vlatest·backend·Apache-2.0

Analyzes akiselev's codebase to identify dependencies, potential bugs, and areas for optimization in backend systems.

Repository

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 akiselev/qt-llm-template --skill codebase-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

akiselev

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 akiselev/qt-llm-template at 6855e82e0c.

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

Commit
6855e82e0c
Manifest
.claude/skills/codebase-analysis/SKILL.md
Scanned
3 files, 74 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 codebases to understand their structure, dependencies, and potential issues. It can identify key components, highlight areas of complexity, and provide insights into code quality. The tool aims to accelerate understanding of unfamiliar projects and assist in refactoring or debugging efforts.

When to use it

  • Onboarding to a new project: Quickly grasp the architecture and major modules of an existing codebase.
  • Debugging complex issues: Identify potential root causes by analyzing dependencies and code flow.
  • Refactoring legacy code: Understand the impact of changes before making modifications.
  • Code review assistance: Gain insights into unfamiliar parts of a project during code reviews.

Key capabilities

  • Codebase structure analysis
  • Dependency identification
  • Complexity assessment
  • Key component highlighting

Example prompts

  • "Analyze this codebase and tell me about its main modules."
  • "What are the dependencies for the 'authentication' service in this project?"
  • "Identify any areas of high complexity within this repository."

Tips & gotchas

The skill requires access to the codebase, typically via a URL or local file path. The accuracy of the analysis depends on the quality and clarity of the code itself; heavily obfuscated or poorly documented code may yield less useful results.