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 skill body is lean, highly actionable, and well-structured: concrete commands, an explicit step sequence with verification checkpoints, and real one-level-deep references. It assumes Claude's competence and adds only domain-specific knowledge.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows and packs in domain-specific specifics (connector commands, weighted difficulty inputs, file paths, labeling rules); every section earns its place despite minor tightening opportunities. | 3 / 3 |
Actionability | Executable commands are given verbatim (firecrawl.py/tavily.py with flags), the True Difficulty weights are itemized (Top-10 authority 25%, page authority 20%, ...), and write paths plus labeling rules make guidance copy-paste ready. | 3 / 3 |
Workflow Clarity | The 8-step process is clearly sequenced with explicit validation checkpoints — the Measured/User-provided/Estimated/N/A labeling rule, the evidence-citation quality bar, and the engine-disagreement → report-volatile feedback loop catch errors early. | 3 / 3 |
Progressive Disclosure | The body is an overview that points one level deep to real, clearly-signaled reference files (analysis-templates.md, example-report.md, serp-feature-taxonomy.md — all present), collected in a dedicated Reference Materials section. | 3 / 3 |
Total | 12 / 12 Passed |