Content
86%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-organized, actionable reference that pairs a concise overview with executable examples and a clearly signaled reference bundle. Main weakness is minor verbosity in prose sections and the absence of explicit validation checkpoints in the workflow.
Suggestions
Trim the Overview paragraph and consolidate the seven-item 'Tips for Effective Use' list into the most essential 3-4 items to reduce token overhead.
Add an explicit verification step in the Typical Workflow (e.g., checking that response.to_dict() returned expected entities before processing) to strengthen workflow clarity.
Consider moving the 'Finding Statistical Variables' pattern list into references/observation.md to keep SKILL.md focused on the overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and code-heavy with minimal concept padding, though sections like the Overview paragraph and the seven-item Tips list include mild over-explanation that could be trimmed. Not below 3 because it largely assumes Claude's competence and avoids explaining basic concepts. | 4 / 5 |
Actionability | Provides copy-paste ready, executable Python examples across all three endpoints plus a full typical-workflow sequence and Pandas integration, covering the common cases concretely. | 5 / 5 |
Workflow Clarity | The 'Typical Workflow' section sequences resolve -> discover -> query -> process steps clearly with code, but lacks explicit validation or verification checkpoints. Not capped at 3 because this is a read-only query skill rather than a destructive or batch operation, and the sequence is otherwise complete. | 4 / 5 |
Progressive Disclosure | SKILL.md serves as a clear overview with well-signaled, one-level-deep references to observation.md, node.md, resolve.md, and getting_started.md — all confirmed to exist as real bundle files — with detailed API content appropriately split out. | 5 / 5 |
Total | 18 / 20 Passed |