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tooluniverse-drug-drug-interaction

Comprehensive drug-drug interaction (DDI) prediction and risk assessment. Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies. Supports single drug pairs, polypharmacy analysis (3+ drugs), and alternative drug recommendations. Use when users ask about drug interactions, medication safety, polypharmacy risks, or need DDI assessment for clinical decision support.

64

Quality

75%

Does it follow best practices?

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tessl review fix ./skills/pharma/tooluniverse-drug-drug-interaction/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body has a coherent high-level structure and a useful final success checklist, but the central analysis workflow and report template are replaced by a literal "[... Content continues as above for full 500+ lines ...]" placeholder, leaving the skill incomplete. All dimensions land at 2 because concrete details and the multi-step analysis sequence are missing while the scaffolding that is present keeps them above the bottom anchor.

Suggestions

Replace the "[... Content continues as above for full 500+ lines ...]" placeholder with the actual content: enumerate the 9 report section headers and provide the concrete analysis steps for mechanism assessment, evidence grading, and risk scoring.

Add explicit intermediate validation checkpoints in the analysis workflow (not only the final Success Criteria checklist) — e.g., verify drug identifier resolution before proceeding to mechanism analysis.

Provide a concrete, copy-paste-ready report template (the section headers with expected fields) so the "report-first" instruction is actionable rather than descriptive.

DimensionReasoningScore

Conciseness

The body is mostly compact and does not over-explain concepts Claude already knows, but the literal placeholder "[... Content continues as above for full 500+ lines ...]" plus the emoji flourish "Ready for Clinical Use 🎉" are tokens that do not earn their place; not 3 because it could be tightened, not 1 because it is not padded with tutorial-level explanation.

2 / 3

Actionability

Gives some concrete specifications — file name template `DDI_risk_report_[DRUG1]_[DRUG2].md`, "Initialize with all 9 section headers", evidence symbols ★★★/★★☆/★☆☆, risk score 0-100, severity Major/Moderate/Minor — but the 9 section headers and the actual analysis steps are absent (truncated by the placeholder), so key details are missing; not 1 because guidance is more than abstract description, not 3 because nothing is copy-paste ready and the template is incomplete.

2 / 3

Workflow Clarity

A high-level sequence exists (create report first, progressively update, final deliverable) and the "Success Criteria" checklist acts as a final validation checkpoint, but the core analysis workflow (mechanism assessment, data gathering, scoring) is in the truncated region and not visible; not 1 because a sequence and checklist are present, not 3 because intermediate validation checkpoints and the detailed step sequence are missing.

2 / 3

Progressive Disclosure

The body is organized into clear sections (When to Use, Critical Workflow Requirements, Success Criteria) with no external bundle files (references/scripts/assets absent), but it is monolithic and the truncated placeholder indicates content that should exist is not actually present; not 3 because the single-file structure is incomplete rather than a clean overview, not 1 because sectioning is reasonable and there are no deeply nested references.

2 / 3

Total

8

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-structured description: third-person voice, concrete capability list, and an explicit "Use when..." trigger clause covering natural clinical terms. The only minor weakness is the mild buzzword opener "Comprehensive" and some jargon ("DDI assessment for clinical decision support"), neither of which lowers any dimension below the top anchor.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies" plus "Supports single drug pairs, polypharmacy analysis (3+ drugs), and alternative drug recommendations" — matching the anchor for several specific concrete actions.

3 / 3

Completeness

Clearly answers both what (DDI prediction, mechanism analysis, severity, evidence grading, management) and when via an explicit "Use when..." trigger clause, matching the top anchor; not 2 because the trigger guidance is explicit rather than implied.

3 / 3

Trigger Term Quality

The "Use when users ask about drug interactions, medication safety, polypharmacy risks" clause uses natural terms a clinician would actually say; not the level below because coverage is broad rather than missing common variations, despite some jargon in "DDI assessment for clinical decision support".

3 / 3

Distinctiveness Conflict Risk

Occupies a clear clinical niche (drug-drug interaction risk assessment) with distinct triggers unlikely to fire for unrelated skills; uses third person ("Analyzes", "Supports", "Provides") with no voice penalty.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
wu-yc/LabClaw
Reviewed

Table of Contents

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