Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Excellent skill content that demonstrates mastery of the format. The compression algorithm is the core value-add—it transforms an 84-line trace into 4 meaningful steps. The worked example makes the abstract concrete, and the output format ensures consistent, actionable results. Edge cases section anticipates real debugging scenarios.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place. No explanation of what model checkers are or how they work—assumes Claude knows. The compression algorithm and worked example are dense with actionable information, no padding. | 3 / 3 |
Actionability | Provides a concrete compression algorithm with numbered steps, a fully worked TLC example showing before/after, specific output format template, and clear 'do not' constraints. Copy-paste ready output structure. | 3 / 3 |
Workflow Clarity | Clear multi-step workflow: triage by source → compress (4 explicit steps) → narrate (4-part structure) → output. The worked example demonstrates the full pipeline. Edge cases provide validation checkpoints for unusual situations. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections (triage table, algorithm, worked example, edge cases, do-nots, output format). Single reference to external skill (`counterexample-to-test-generator`) is appropriately signaled. Content is appropriately scoped for a single file. | 3 / 3 |
Total | 12 / 12 Passed |