Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is well-organized and concise, effectively covering contract verification concepts without over-explaining. However, it lacks concrete validation steps in the workflow and the resolution guidance is too abstract to be immediately actionable. The dependency on external scripts without showing expected outputs or error handling weakens practical usability.
Suggestions
Add example output from contract_verifier.py showing what a violation report looks like in report.json
Include a validation/feedback loop in the workflow: what to do if verification finds violations, how to iterate
Make resolution guidance more concrete with before/after code examples showing how to fix each violation type
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, assuming Claude understands programming concepts like preconditions and postconditions. No unnecessary explanations of basic concepts; every section serves a clear purpose. | 3 / 3 |
Actionability | Provides concrete bash commands and Python docstring examples, but the scripts referenced (contract_extractor.py, contract_verifier.py) are external dependencies without showing their actual implementation or output format. The resolution guidance is abstract rather than executable. | 2 / 3 |
Workflow Clarity | The 3-step workflow is clearly sequenced, but lacks validation checkpoints. No feedback loop for handling verification failures, no guidance on what to do if extraction fails, and 'Review Violations' step is vague without concrete next actions. | 2 / 3 |
Progressive Disclosure | Well-structured with clear sections progressing from workflow to concepts to resolution. References to external files (design_by_contract.md, scripts) are one level deep and clearly signaled in the Resources section. | 3 / 3 |
Total | 10 / 12 Passed |