Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that provides comprehensive, actionable guidance for behavior preservation checking. The content is well-structured with excellent concrete examples, clear decision tables, and practical code snippets. The main weakness is that it's somewhat monolithic - the worked example and edge cases could potentially be split into separate files for better progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is dense with actionable information and avoids explaining concepts Claude already knows. Every section earns its place - the comparison table, code examples, and edge cases all provide unique value without padding. | 3 / 3 |
Actionability | Provides executable Python code examples for differential testing and side-effect capture. The worked example walks through a complete real-world scenario with specific findings. The output format template is copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear progression from cheapest to strongest approaches with explicit decision criteria. The worked example demonstrates the full workflow including how to interpret divergences. The 'Do not' section provides explicit validation checkpoints for avoiding common mistakes. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections and a logical flow from overview to details. However, it's a fairly long single document that could benefit from splitting the worked example or edge cases into separate files. The reference to 'semantic-equivalence-verifier' skill is good but is the only external reference. | 2 / 3 |
Total | 11 / 12 Passed |