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Tech Debt Analyzer

Checked
auldsyababua·vlatest·backend

This Tech Debt Analyzer identifies and prioritizes code issues, boosting development efficiency by surfacing potential technical risks.

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 auldsyababua/instructor-workflow --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

auldsyababua

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 auldsyababua/instructor-workflow at 92702083b8.

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

Commit
92702083b8
Manifest
skills/tech-debt-analyzer/SKILL.md
Scanned
3 files, 572 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 Tech Debt Analyzer skill identifies and categorizes technical debt within a codebase. It provides insights into the scope and potential impact of this debt, allowing for prioritization of remediation efforts. The skill analyzes code to identify areas needing refactoring or improvement based on established patterns.

When to use it

  • Codebase Assessment: Quickly understand the level of technical debt in a new project you're joining.
  • Refactoring Planning: Prioritize refactoring tasks by identifying high-impact areas of technical debt.
  • Team Onboarding: Help new team members quickly grasp the architectural challenges and potential improvements needed.
  • Technical Audits: Generate reports for stakeholders outlining the state of the codebase's health.

Key capabilities

  • Identifies code smells indicative of technical debt.
  • Categorizes identified debt by severity (e.g., critical, major, minor).
  • Provides actionable recommendations for remediation.
  • Generates reports summarizing findings.

Example prompts

  • "Analyze this codebase and identify areas with significant technical debt."
  • "Generate a report detailing the most pressing technical debt issues in this project."
  • "What are the potential risks associated with the identified technical debt?"

Tips & gotchas

The accuracy of analysis depends on the quality and clarity of the codebase. Complex or heavily obfuscated code may yield less reliable results.