Content
85%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tightly written, well-structured debugging skill that delivers an actionable workflow with explicit validation checkpoints and clean progressive disclosure to verified reference files. Its only weakness is minor conceptual overlap between the loop and the nine-rules sections, which slightly inflates the token budget.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and imperative with minimal concept-explanation padding, but the Scientific Debugging Loop and Agans' 9 Rules overlap conceptually and a few justificatory sentences (e.g. "The loop exists because human intuition...") could be trimmed. | 4 / 5 |
Actionability | Provides concrete, specific guidance — a red-capable loop checklist with four explicit criteria, a copy-paste diagnosis markdown template, and a likelihood/testability ranking scheme — which is highly actionable for an instruction-only skill, with only minor gaps in executable detail. | 4 / 5 |
Workflow Clarity | The five-step Debugging Workflow is clearly sequenced, the Scientific Debugging Loop is an explicit feedback loop ("repeat from step 2 if refuted"), and the red-capable loop completion criterion acts as an explicit validation checkpoint before proceeding. | 5 / 5 |
Progressive Disclosure | The SKILL.md serves as a concise overview with well-signaled, one-level-deep references to real bundle files (references/feedback-loops.md, references/nine-rules.md), with detail appropriately offloaded rather than inlined. | 5 / 5 |
Total | 18 / 20 Passed |