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Test Fix

Checked
d-o-hub·vlatest·testing·MIT

Automatically identifies and fixes bugs in code based on test failures, accelerating development cycles.

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 d-o-hub/rust-self-learning-memory --skill test-fix -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

d-o-hub

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 d-o-hub/rust-self-learning-memory at da7210f59b.

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

Scanned
2 files, 110 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, test-fix, automatically identifies and corrects failing tests within a Rust project. It analyzes test output to pinpoint errors and suggests or applies fixes based on common patterns. The goal is to streamline the debugging process and improve overall code quality by reducing manual intervention in test resolution.

When to use it

  • Automated Regression Testing: Integrate into CI/CD pipelines to automatically address failing tests during automated builds.
  • Rapid Prototyping: Quickly resolve minor test failures while iterating on new features or refactoring existing code.
  • Large Codebases: Reduce the burden of manually debugging and fixing a large number of tests in complex projects.
  • Continuous Integration: Ensure consistent test pass rates by automatically resolving common failure patterns.

Key capabilities

  • Test output analysis
  • Error pattern identification
  • Automated fix suggestion
  • Automatic fix application (potentially)

Example prompts

  • "Fix the failing tests in my Rust project."
  • "Analyze this test output and suggest a solution: [paste test output]"
  • "Automatically apply fixes to all failing tests."

Tips & gotchas

The skill's effectiveness depends on the clarity and consistency of your test failure messages. It may not be able to handle highly complex or unusual error scenarios requiring significant code changes.