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 document that demonstrates mastery of concise technical writing. It efficiently teaches test case reduction through concrete examples, executable code, and clear workflows. The worked example is particularly valuable, showing exactly how structured shrinking reveals the bug, and the 'Do not' section addresses common pitfalls without being preachy.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely efficient use of tokens. No unnecessary explanations of basic concepts - jumps straight into the interestingness test, algorithm, and practical examples. Every section earns its place with actionable content. | 3 / 3 |
Actionability | Provides executable Python code for the interestingness test, clear pseudocode for ddmin algorithm, concrete shrink operations tables, a complete worked example with step-by-step reduction, and specific tool recommendations. Copy-paste ready where appropriate. | 3 / 3 |
Workflow Clarity | The worked example provides an explicit step-by-step sequence with validation at each step (checking 'still interesting?'). The output format includes verification requirements. The 'Do not' section explicitly addresses validation gaps and checkpointing. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections progressing from concept (interestingness test) → algorithm (ddmin) → optimization (structured shrinking) → example → tools → edge cases → output format. Appropriate length for a single file with no need for external references. | 3 / 3 |
Total | 12 / 12 Passed |