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drug-interaction-checker

Check for drug-drug interactions between multiple medications. Trigger when user asks about medication compatibility, "can I take X with Y", drug interactions, contraindications, or safety of combining pharmaceuticals.

86

1.29x

Quality

81%

Does it follow best practices?

Impact

96%

1.29x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

89%

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

This is a well-crafted skill description with excellent trigger terms and completeness. The explicit 'Trigger when' clause with natural user phrases like 'can I take X with Y' makes it highly discoverable. The main weakness is limited specificity in describing the range of actions beyond basic interaction checking.

Suggestions

Expand the capability description to include additional concrete actions such as 'identify interaction severity, suggest timing adjustments, explain pharmacological mechanisms'

DimensionReasoningScore

Specificity

The description names the domain (drug-drug interactions) and one action (check for interactions), but lacks multiple concrete actions like 'identify severity levels, suggest alternatives, explain mechanisms'.

2 / 3

Completeness

Clearly answers both what (check for drug-drug interactions) and when (explicit 'Trigger when' clause with multiple specific scenarios including the natural phrase 'can I take X with Y').

3 / 3

Trigger Term Quality

Excellent coverage of natural user phrases: 'can I take X with Y', 'drug interactions', 'medication compatibility', 'contraindications', 'combining pharmaceuticals' - these match how users naturally ask about this topic.

3 / 3

Distinctiveness Conflict Risk

Very clear niche focused specifically on drug-drug interactions with distinct pharmaceutical terminology; unlikely to conflict with general medical or chemistry skills due to specific trigger terms like 'medication compatibility' and 'contraindications'.

3 / 3

Total

11

/

12

Passed

Implementation

72%

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

The skill provides solid actionable guidance with executable code examples and clear output formats. However, it's bloated with boilerplate sections (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status) that add no instructional value and waste tokens. The core drug interaction checking content is well-structured but lacks error handling workflows.

Suggestions

Remove boilerplate sections (Risk Assessment, Security Checklist, Evaluation Criteria, Lifecycle Status) that don't provide actionable guidance for the task

Add error handling workflow: what to do when drug names aren't recognized, when no interactions are found, or when the database lacks data

Consolidate the Limitations section into a brief note rather than a separate section with obvious statements

DimensionReasoningScore

Conciseness

Contains significant boilerplate that doesn't add value (Risk Assessment table, Security Checklist, Evaluation Criteria, Lifecycle Status sections). The core functionality is reasonably documented but padded with template content Claude doesn't need.

2 / 3

Actionability

Provides fully executable code examples with clear CLI usage and Python module import. The output JSON schema is concrete and copy-paste ready, and parameters are well-documented with types and defaults.

3 / 3

Workflow Clarity

For a single-purpose tool, the usage is clear, but there's no validation workflow for checking results or handling errors. Missing guidance on what to do if interactions aren't found or if drug names aren't recognized.

2 / 3

Progressive Disclosure

Good structure with clear sections and appropriate references to external files (interactions_db.json, severity_criteria.md, cyp450_substrates.json). Navigation is straightforward with one-level-deep references.

3 / 3

Total

10

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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