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Tech Debt Analyzer

Checked
travisjneuman·vlatest·backend·MIT

This AI analyzes code to identify and quantify technical debt, helping developers prioritize fixes and improve codebase health.

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 travisjneuman/.claude --skill tech-debt-analyzer -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

travisjneuman

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 travisjneuman/.claude at 050878886e.

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

Commit
050878886e
Manifest
skills/tech-debt-analyzer/SKILL.md
Scanned
8 files, 1,708 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

The travisjneuman-tech-debt-analyzer skill analyzes code to identify and categorize technical debt. It helps users understand the scope of technical debt within a project, providing insights into areas needing attention. This analysis can be used to prioritize refactoring efforts and improve overall code quality.

When to use it

  • Refactoring Planning: Before starting a large-scale refactor, use this skill to identify key areas of technical debt.
  • Code Review Support: Integrate the analyzer into your code review process to highlight potential issues and facilitate discussions about improvements.
  • Technical Debt Tracking: Regularly run the analysis to monitor the accumulation or reduction of technical debt over time.
  • Onboarding New Developers: Help new team members quickly understand the codebase's challenges by providing a summary of existing technical debt.

Key capabilities

  • Identifies and categorizes technical debt.
  • Provides insights into areas needing attention.
  • Supports prioritization of refactoring efforts.

Example prompts

  • "Analyze this code snippet for technical debt: [paste code]"
  • "What are the biggest sources of technical debt in this project?"
  • "Can you give me a summary of the identified technical debt, categorized by severity?"

Tips & gotchas

The skill's effectiveness depends on the quality and clarity of the codebase. Complex or heavily obfuscated code may yield less accurate results.