Content
71%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 body is exceptionally actionable as a tool reference — exact signatures, response formats, gotchas, and worked workflows — with a well-sequenced phase pipeline and thorough fallback strategies. Its weaknesses are duplication across the Gotchas, Key Parameter Notes, and Limitations sections and the absence of any progressive disclosure: all tool API detail is inlined in SKILL.md rather than split into a reference file.
Suggestions
Move the per-tool parameter and response-schema documentation (Phases 0-5) into a references/tool_reference.md, keeping SKILL.md as a phase-oriented overview with worked examples — the ~200 lines of API detail for ~25 tools is the content the progressive_disclosure rubric expects in a separate file.
Eliminate duplication: CPIC_get_drug_info is documented in both Phase 0 and Phase 2, and the 'returns RxNorm IDs, not drug names' caveat appears in Phase 1, Key Parameter Notes, and Limitations — state each fact once and cross-reference it.
Condense the active-vs-prodrug metabolizer explanation to the one-line direction rule, since Claude already knows codeine is a prodrug and that CYP2D6 UM causes morphine accumulation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient high-value tool documentation, but with noticeable repetition: 'CPIC_get_drug_info' is fully documented in both Phase 0 and Phase 2, 'PharmGKB_get_dosing_guidelines' appears in both Phase 2 and Phase 5, and the caveat that 'CPIC_search_gene_drug_pairs returns RxNorm IDs, not drug names' appears three times (Phase 1, Key Parameter Notes, Limitations). The Key Parameter Notes and Limitations sections substantially restate the Gotchas section, and the active-vs-prodrug metabolizer explanation covers pharmacology Claude already knows. This fits anchor 3 (mostly efficient but could be tightened) better than 4, where over-explanation would be only minor. | 3 / 5 |
Actionability | Fully concrete guidance: exact tool names with parameter types ('guideline_id (integer) OR drug/drug_name (string)'), expected response shapes ('{status, data: {guideline_id, recommendations: [...], count}}'), copy-paste-ready calls ('CPIC_get_recommendations(drug="codeine", limit=50)'), and three worked example workflows (drug-first, gene-first, variant-first) covering the common cases. Matches anchor 5; not 4 because no significant execution detail is missing. | 5 / 5 |
Workflow Clarity | A clear six-phase pipeline starting with explicit disambiguation, a 4-step reasoning checklist ('Does a CPIC guideline exist... What is the patient's phenotype...'), and a Fallback Strategies section covering ~8 failure modes (e.g., 'CPIC_get_recommendations returns 0 rows -> Check if algorithm-based (warfarin)'). Error-recovery loops are strong, but output-verification checkpoints are implicit in fallbacks rather than explicit validation steps, which fits anchor 4 better than 5. | 4 / 5 |
Progressive Disclosure | Well-sectioned with clear phase headers, but ~200 lines of per-tool API reference (parameters, response schemas, and gotchas for ~25 tools) are inlined in SKILL.md — content that clearly belongs in a references/ file per the rubric. No bundle files exist (no references/, scripts/, or assets/ directories), so the skill is a single well-organized but oversized document. Fits anchor 3 (some structure, content that should be separate is inline); not 2 because section organization and navigation within the file are good, not minimal. | 3 / 5 |
Total | 15 / 20 Passed |