debug-failing-test Skill
Debug a failing test using an iterative logging approach, then clean up and document the learning. Published by microsoft in vscode-python-environments.
Decision snapshot
Is this a fit?
Testing, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
2 months ago · MIT license
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What is debug-failing-test Skill?
Debug a failing test using an iterative logging approach, then clean up and document the learning. Published by microsoft in vscode-python-environments. 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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Testing use cases
Declared skill metadata
- Source file: .github/skills/debug-failing-test/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use debug-failing-test Skill
- Use it for testing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/vscode-python-environments
- Skill file: .github/skills/debug-failing-test/SKILL.md
What it does
Debug a failing test using an iterative logging approach, then clean up and document the learning.
Skill instructions
Debug a failing unit test by iteratively adding verbose logging, running the test, and analyzing the output until the root cause is found and fixed. Workflow Phase 1: Initial Assessment 1. Run the failing test to capture the current error message and stack trace 2. Read the test file to understand what is being tested 3. Read the source file being tested to understand the expected behavior 4. Identify the assertion that fails and what values are involved Phase 2: Iterative Debugging Loop Repeat until the root cause is understood: 1. Add verbose logging around the suspicious code: - Use console.log('[DEBUG]', ...) with descriptive labels - Log input values, intermediate states, and return values - Log before/after key operations - Add timestamps if timing might be relevant 2. Run the test and capture output 3. Assess the logging output: - What values are unexpected? - Where does the behavior diverge from expectations? - What additional logging would help narrow down the issue? 4. Decide
Verified compatibility and discovery
Frequently asked questions
What is debug-failing-test?
debug-failing-test is a open-source AI agent skill with Copy skill directory. Debug a failing test using an iterative logging approach, then clean up and document the learning.
Who is debug-failing-test best for?
debug-failing-test is best for reusing agent instructions, scripts, and references, testing workflows.
How do I install debug-failing-test?
Install or run debug-failing-test using Copy skill directory. Check debug-failing-test for the latest setup command.
Is debug-failing-test actively maintained?
debug-failing-test may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
