Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a clean, well-structured overview of metamorphic test generation with good CLI examples and output format. However, it lacks critical details like the properties.json schema, validation workflows for handling violations, and references to supporting documentation or scripts.
Suggestions
Add an example properties.json file showing how to define metamorphic properties with their transformations and expected relations
Include a workflow section with explicit steps for handling violations: interpret -> debug -> fix -> re-run -> verify
Clarify where scripts/generate.py comes from (is it provided? needs installation?) or link to the actual script location
Add a concrete example showing a simple program, its original test, the transformation applied, and how the property is verified
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, avoiding unnecessary explanations of what metamorphic testing is or how it works conceptually. Every section provides actionable information without padding. | 3 / 3 |
Actionability | Provides concrete CLI commands and example output format, but lacks executable code showing how to define properties or integrate with actual programs. The properties.json format is never shown, making it incomplete for copy-paste usage. | 2 / 3 |
Workflow Clarity | The quick start shows a basic sequence but lacks validation checkpoints. No guidance on what to do when violations are found, how to interpret anomalies, or feedback loops for fixing issues and re-running tests. | 2 / 3 |
Progressive Disclosure | Content is well-organized with clear sections, but references scripts/generate.py without indicating where this script comes from or linking to additional documentation. No references to detailed property definition guides or advanced usage. | 2 / 3 |
Total | 9 / 12 Passed |