Content
82%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.
Actionable, executable body with a clear workflow and external references; slightly verbose in concept framing and licensing detail, and missing an explicit validate-fail-retry feedback loop for the batch case.
Suggestions
Trim the opening six-axis model explanation and deduplicate the licensing terms-of-use detail (covered both in the 'Quick start' area and the edge-cases section) to tighten token use.
Add an explicit feedback loop to the workflow: if $validate-code fails or $expand returns no good match, re-run the search with adjusted specimen/method axes rather than proceeding.
Consider moving the edge-cases/gotchas block into a references file so SKILL.md stays a lean overview, and reference it one level deep.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with executable code earning its place, but the opening framing of the six-axis LOINC model and the licensing detail repeated in both the body and the edge-cases section are minor instances of over-explanation that could be trimmed. | 4 / 5 |
Actionability | Fully executable copy-paste-ready Python for $lookup, $validate-code, $expand, and the OpenMed hand-off, with a real example call (lookup("2823-3")) and concrete params/auth, covering the common cases. | 5 / 5 |
Workflow Clarity | A clear numbered 6-step sequence with an explicit validation checkpoint ($validate-code then $lookup), but the batch-mapping flow lacks an explicit error-recovery/feedback loop when validation fails. | 4 / 5 |
Progressive Disclosure | Well-organized sections with external reference URLs cleanly collected in a References section and no nested file references, but some inline density (repeated licensing, edge-cases) is a bit heavier than a pure overview. | 4 / 5 |
Total | 17 / 20 Passed |