Content
87%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.
A concise, actionable, well-organized single-purpose skill with a verified referenced script. The main gap is the absence of a validation/verification checkpoint for its batch-style (max_items) operations, which is the one place where a feedback loop would add robustness.
Suggestions
Add a brief verification step for batch operations, e.g. after a `max_items=10` search or descendants call, check that `records` is non-empty and surface `error.code`/`error.message` before summarizing.
Clarify the single-step decision flow: when to use `search` vs `ontologies/efo/terms/<iri>` vs `children`/`descendants`, so the intended path is unambiguous rather than implied by the examples.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~37-line body is lean, assumes Claude's competence (no explanation of what EFO/OLS4 is), and every section earns its place; it sits well within the under-50-line efficient example. | 3 / 3 |
Actionability | Provides a fully executable bash/JSON example and concrete OLS4 path patterns with copy-paste-ready request objects, matching the anchor for executable code with specific examples. | 3 / 3 |
Workflow Clarity | Operating rules and execution behavior are sequenced, but there is no validation/checkpoint step for batch operations (e.g. verifying `max_items=10` results or handling a missing term before expanding), which caps workflow clarity at 2 per the batch-operations guideline. | 2 / 3 |
Progressive Disclosure | A simple under-50-line skill with well-organized sections and a single one-level-deep reference to the real `scripts/rest_request.py`; the explicit "No additional runtime references are required" line keeps navigation unambiguous. | 3 / 3 |
Total | 11 / 12 Passed |