Content
100%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.
The content is an exceptionally well-structured expert skill: a phased workflow with validation checkpoints, endpoint-specific interpretation rules, quantified completeness minimums, cross-source evidence grading, and a thorough quality checklist. It is dense without padding and highly actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with no padding — every line is a domain-specific guardrail, exact threshold, or field-level rule Claude would not already know, and it never explains basic concepts like what a grant is. | 5 / 5 |
Actionability | Provides fully executable, copy-ready guidance: named endpoints (OpenNIH_search_grants, ic_topic_cross), exact fields (meta.total, core_project_num), and concrete thresholds (meta.total <= 100050, limit=50, offset capped at 100000). | 5 / 5 |
Workflow Clarity | Phases 0–3 are clearly sequenced with explicit validation checkpoints and feedback loops — retry-once on 429/5xx, reconcile collected rows to meta.total, and 'only when valid' gating before dollar aggregation. | 5 / 5 |
Progressive Disclosure | The SKILL.md is an overview pointing to three real, one-level-deep reference files (tool-reference.md, verified-cases.md, public-value-cases.md), each clearly signaled with when to read it; all referenced paths exist in the bundle. | 5 / 5 |
Total | 20 / 20 Passed |