Skip to content
TrustedSkillsbeta
Back to all skills

Debug

Checked
htlin222·vlatest·testing·MIT

Identifies and suggests fixes for common coding errors in Python scripts, improving test reliability.

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 htlin222/dotfiles --skill debug --full-depth -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

htlin222

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 htlin222/dotfiles at b7604b0cf6.

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

Commit
b7604b0cf6
Manifest
claude.symlink/archived-skills/debug/SKILL.md
Scanned
1 file, 169 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, htlin222-debug, provides debugging capabilities for AI agents. It allows users to inspect the agent's internal state and execution flow, aiding in identifying and resolving issues. The skill facilitates understanding why an agent made a particular decision or encountered an error during task completion.

When to use it

  • When an AI agent consistently fails to complete a specific task.
  • To understand the reasoning behind unexpected or incorrect outputs from an agent.
  • During development and testing of AI agents, to pinpoint sources of errors.
  • When troubleshooting complex workflows involving multiple agent actions.

Key capabilities

  • Inspect internal state
  • Examine execution flow
  • Identify error causes

Example prompts

  • "Debug the last action taken by the agent."
  • "Show me the variables available to the agent before it chose that option."
  • "Explain why the agent selected this particular tool."

Tips & gotchas

This skill is most effective when used in conjunction with detailed logging or monitoring of the AI agent's behavior. It requires a level of familiarity with the agent’s internal workings to interpret the debugging information effectively.