Content
100%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, well-sequenced research methodology that records exactly what to capture and how to separate observation from inference, with quality gates and ethical guardrails. It is appropriately scoped for a simple instruction-only skill.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | A lean ~17-line numbered checklist with a short constraints paragraph; it assumes Claude's competence and avoids explaining concepts Claude already knows, so every token earns its place. | 3 / 3 |
Actionability | As an instruction-only research skill it gives concrete, specific guidance — named data fields to record ('capture date, platform, placement, observable creative/message, landing destination, and source URL') and named sources — which is actionable without code per the scoring notes. | 3 / 3 |
Workflow Clarity | A clearly sequenced 1–6 workflow with explicit quality checkpoints (step 4 'never present estimates as account facts'; step 6 'evidence-backed ... source records'); research is not a destructive/batch operation requiring fix-retry loops. | 3 / 3 |
Progressive Disclosure | Under 50 lines, single task, no external bundle files or references, and well-organized as a numbered list plus a constraints block — meeting the simple-skill exception for progressive disclosure. | 3 / 3 |
Total | 12 / 12 Passed |