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debug-test-failures Skill

AI Agent SkillPythonOpen source

Systematic debugging workflow for test failures. Use when tests are failing, a CI build is red, or when asked to debug test issues. Published by microsoft in haste.

What is debug-test-failures Skill?

Systematic debugging workflow for test failures. Use when tests are failing, a CI build is red, or when asked to debug test issues. Published by microsoft in haste. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
41/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Design and media
  • Testing use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use debug-test-failures Skill

  • Use it for testing.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/haste
  • Skill file: .github/skills/debug-test-failures/SKILL.md

What it does

Systematic debugging workflow for test failures. Use when tests are failing, a CI build is red, or when asked to debug test issues.

Skill instructions

Debug Test Failures Overview A systematic process for diagnosing and fixing test failures. Use this skill when tests fail, CI is red, or someone reports a broken build. The key principle: find the root cause, not just the symptom. Key Concepts Failure Categories - Deterministic failure: Same result every time. Usually a code bug or outdated test. - Flaky failure: Intermittent. Usually caused by timing, ordering, shared state, or external dependencies. - Environment failure: Works locally, fails in CI. Usually paths, permissions, or missing dependencies. Patterns & Techniques Systematic Debugging Process Step 1: Reproduce Run the failing test in isolation: bash Python tests cd hastelib && hatch run test:pytest UI lint cd ui && npm run lint Run it 2-3 times. If intermittent, it's likely flaky. Step 2: Analyze - Read the error message and stack trace carefully - Identify the assertion that failed: expected vs actual values - Check if the failure is in the test or the code under test Step

Explore related resources

Frequently asked questions

What is debug-test-failures?

debug-test-failures is a open-source AI agent skill with Copy skill directory. Systematic debugging workflow for test failures. Use when tests are failing, a CI build is red, or when asked to debug test issues.

Who is debug-test-failures best for?

debug-test-failures is best for reusing agent instructions, scripts, and references, testing workflows, design and media workflows.

How do I install debug-test-failures?

Install or run debug-test-failures using Copy skill directory. Check debug-test-failures for the latest setup command.

Is debug-test-failures actively maintained?

debug-test-failures may need a closer maintenance check before production use.

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Stars
43
Forks
5
Last commit
9 days ago
Repository age
3 months
License
MIT

Auto-fetched from GitHub.

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