Content
78%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 well-structured instruction-only skill: lean overview, concrete commands and metric codes, a sequenced workflow with a validation self-check, and clean progressive disclosure to real reference files. Main room for improvement is making the self-check feedback loop explicit and inlining a fuller worked example.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's domain knowledge (no padding about what GEO or AI Overviews are) and stays dense and useful; the two Data Sources paragraphs are long but carry genuinely non-obvious citability-vs-surfacing guidance, leaving only minor trim opportunities. | 4 / 5 |
Actionability | It provides a copy-paste-ready Tavily probe command, specific numeric guidance ('standalone 25-50 word definitions'), concrete CORE-EEAT codes (C02, O03, O05, E01), and a 5-step workflow, though the worked example is deferred to a reference rather than shown inline. | 4 / 5 |
Workflow Clarity | The five numbered steps are clearly sequenced with an explicit validation checkpoint (CORE-EEAT self-check Pass/Warn/Fail) and concrete done-when criteria, but the fail→fix→re-run feedback loop is implied rather than spelled out. | 4 / 5 |
Progressive Disclosure | The body is a concise overview pointing to six real, one-level-deep reference files (all present in ./references/) via a well-labeled Reference Materials section with per-file descriptions, matching the clear-overview-with-signaled-references anchor. | 5 / 5 |
Total | 17 / 20 Passed |