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Testing Anti Patterns

Checked
bobmatnyc·vlatest·testing·MIT

Helps with testing, patterns 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 bobmatnyc/claude-mpm-skills --skill testing-anti-patterns -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

bobmatnyc

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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Commit
718070a7d6
Manifest
universal/testing/testing-anti-patterns/SKILL.md
Scanned
7 files, 3,131 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 helps AI agents identify and avoid common mistakes in software testing strategies. It analyzes test suites to flag inefficient practices that reduce coverage or reliability without adding value.

When to use it

  • Reviewing a legacy codebase with brittle, hard-to-maintain unit tests.
  • Optimizing CI/CD pipelines by removing flaky or redundant test cases.
  • Guiding junior developers on how to structure robust test scenarios.
  • Auditing automated testing workflows for performance bottlenecks.

Key capabilities

  • Detects over-testing and unnecessary duplication in test suites.
  • Flags fragile tests that break due to minor code changes.
  • Identifies missing edge cases or critical coverage gaps.
  • Recommends refactoring steps to improve test maintainability.

Example prompts

  • "Analyze this test suite and list the anti-patterns present."
  • "Why are my unit tests failing frequently? Check for common testing mistakes."
  • "How can I reduce the runtime of my test pipeline while keeping coverage high?"

Tips & gotchas

Ensure your test code is well-documented before analysis, as context improves detection accuracy. This skill focuses on patterns; it does not execute tests or fix bugs directly.