Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that teaches semantic bug detection through concrete patterns, a detailed signal catalog, and a thorough worked example that demonstrates the full detection-to-confirmation workflow. It respects Claude's intelligence by focusing on domain-specific knowledge (the smell patterns, intent hierarchy, FP suppression heuristics) rather than explaining basic concepts. The ranking system and confidence levels show sophisticated understanding of the uncertainty inherent in semantic analysis.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place—no explanation of what bugs are or how Python works. The signal catalog table is dense with actionable patterns, and the worked example demonstrates rather than explains. | 3 / 3 |
Actionability | Provides a concrete signal catalog with specific patterns to look for, a complete worked example with real code and test confirmation, and a clear output format. The intent hierarchy and FP suppression rules are immediately applicable. | 3 / 3 |
Workflow Clarity | Clear sequence: establish intent → detect smells → rank by confirmability → suppress FPs → output findings. The worked example demonstrates the full workflow including the critical validation step of writing a confirming test. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections (intent question, signal catalog, ranking, FP suppression, worked example, edge cases, do not, output format). Appropriate length for a single file with no need for external references. | 3 / 3 |
Total | 12 / 12 Passed |