assertion-quality Skill
Analyzes the variety and depth of assertions across test suites in any language. Use when the user asks to evaluate assertion quality, find shallow testing, identify assertion-free tests (no assertions or only trivial ones like Assert.IsNotNull / expect(x).toBeTruthy() / assert x is not None), flag self-referential or Published by microsoft in testfx.
Decision snapshot
Is this a fit?
Testing, Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is assertion-quality Skill?
Analyzes the variety and depth of assertions across test suites in any language. Use when the user asks to evaluate assertion quality, find shallow testing, identify assertion-free tests (no assertions or only trivial ones like Assert.IsNotNull / expect(x).toBeTruthy() / assert x is not None), flag self-referential or Published by microsoft in testfx. 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
- Data analysis
- Testing use cases
- Data analysis use cases
Declared skill metadata
- Declared license: MIT
- Source file: .agents/skills/assertion-quality/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 assertion-quality Skill
- Use it for testing.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/testfx
- Skill file: .agents/skills/assertion-quality/SKILL.md
What it does
Analyzes the variety and depth of assertions across test suites in any language. Use when the user asks to evaluate assertion quality, find shallow testing, identify assertion-free tests (no assertions or only trivial ones like Assert.IsNotNull / expect(x).toBeTruthy() / assert x is not None), flag self-referential or
Skill instructions
Assertion Diversity Analysis Analyze test code in any supported language to measure how varied and meaningful the assertions are. Produce a metrics report that reveals whether tests verify different facets of correctness — not just "output equals X" but also structure, exceptions, state transitions, side effects, and invariants. Language-specific guidance: Call the test-analysis-extensions skill to discover available extension files, then read the file matching the target codebase's language and framework (e.g., dotnet.md for .NET, python.md for pytest, typescript.md for Jest, go.md for the standard testing package). You MUST read the relevant extension file before classifying assertions, because assertion APIs differ significantly across frameworks. Why Assertion Diversity Matters Low assertion diversity signals shallow testing. Tests may pass while bugs hide in unasserted logic. Common symptoms: | Problem | Symptom | Consequence | |---------|---------|-------------| | Trivial asserti
Verified compatibility and discovery
Frequently asked questions
What is assertion-quality?
assertion-quality is a open-source AI agent skill with Copy skill directory. Analyzes the variety and depth of assertions across test suites in any language.
Who is assertion-quality best for?
assertion-quality is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows.
How do I install assertion-quality?
Install or run assertion-quality using Copy skill directory. Check assertion-quality for the latest setup command.
Is assertion-quality actively maintained?
assertion-quality 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.
