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Api Debugging

Checked
ownpilot·vlatest·testing·MIT

Helps with API, debugging as part of testing, debugging, and quality assurance workflows.

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 ownpilot/ownpilot --skill api-debugging -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

ownpilot

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 ownpilot/ownpilot at eb4c27f29d.

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

Commit
eb4c27f29d
Manifest
packages/gateway/data/example-skills/api-debugging/SKILL.md
Scanned
1 file, 85 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 assists in debugging API calls. It can analyze error messages, suggest potential causes of failure, and recommend solutions to resolve issues encountered when interacting with APIs. The tool aims to streamline the troubleshooting process for developers working with external services.

When to use it

  • You're receiving unexpected error codes from an API you’re integrating with.
  • An automated workflow is failing due to intermittent API problems.
  • You need help understanding complex error messages returned by a third-party API.
  • You want to quickly identify the root cause of issues when calling external APIs.

Key capabilities

  • API Error Analysis
  • Troubleshooting Suggestions
  • Solution Recommendations

Example prompts

  • "I'm getting a 403 error from the Stripe API, can you help me debug it?"
  • "The Google Maps API is returning an invalid response. What could be wrong?"
  • "Analyze this error message: 'Error code: 500 Internal Server Error'."

Tips & gotchas

To get the most accurate results, provide detailed information about the API call including request headers and body where possible. The skill's effectiveness is dependent on the clarity and completeness of the provided error context.