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Test Debug Failures

Checked
dawiddutoit·vlatest·testing

Helps with testing, 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 dawiddutoit/custom-claude --skill test-debug-failures -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

dawiddutoit

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 dawiddutoit/custom-claude at 17b45a90a6.

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

Commit
17b45a90a6
Manifest
skills/test-debug-failures/SKILL.md
Scanned
3 files, 1,555 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 allows AI agents to systematically identify and debug failures in automated tests. It can analyze error messages, stack traces, and test execution logs to pinpoint the root cause of issues. The agent can then suggest code changes or configuration adjustments to resolve these failures, improving overall testing reliability.

When to use it

  • Debugging failing CI/CD pipelines: Use this skill when automated tests in your continuous integration pipeline are consistently failing, hindering deployments.
  • Analyzing flaky tests: When tests intermittently pass and fail without apparent code changes, the skill can help identify underlying environmental or dependency issues.
  • Understanding complex error messages: When faced with cryptic or lengthy error messages from test frameworks, this skill can provide a more understandable explanation of the problem.
  • Improving test suite stability: Employ it to proactively address recurring test failures and reduce overall maintenance overhead for your testing infrastructure.

Key capabilities

  • Error message analysis
  • Stack trace interpretation
  • Test execution log parsing
  • Root cause identification
  • Suggestion generation (code changes, configuration adjustments)

Example prompts

  • "Analyze this error message from my unit test: 'Assertion failed: Expected 12, but was 5.'"
  • "Can you debug the stack trace from this failing integration test and suggest a fix?"
  • "Here's the log output from my automated UI tests. What’s causing these intermittent failures?"

Tips & gotchas

The skill is most effective when provided with complete error messages, stack traces, and relevant test execution logs. Ensure the AI agent has access to the codebase or configuration files related to the failing tests for optimal debugging suggestions.