Content
14%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is heavily padded with generic boilerplate sections (security checklists, lifecycle status, evaluation criteria, response templates, risk assessments) that provide no MDR-specific value and consume significant token budget. The genuinely useful content—MDR check points, compliance levels, output format, and parameter documentation—is buried within repetitive and circular generic scaffolding. The skill would benefit enormously from stripping all boilerplate and focusing exclusively on the domain-specific MDR audit workflow.
Suggestions
Remove all generic boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template, Output Requirements, Input Validation) that don't contain MDR-specific information—these waste tokens on things Claude already knows.
Consolidate the three competing workflow descriptions (Example Usage run plan, Implementation Details, Workflow) into a single, concrete, MDR-specific audit workflow with explicit validation checkpoints (e.g., 'verify device class determines which checks apply before running').
Replace the hardcoded local path (/Users/z04030865/...) with a relative path, and eliminate duplicate command listings (py_compile and --help appear in multiple sections).
Move the MDR check points section to the top as the primary content since it's the most valuable domain-specific guidance, and add concrete examples of how to evaluate each checkpoint (e.g., what constitutes a valid Clinical Evaluation Plan).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. Contains numerous boilerplate sections (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template) that add no domain-specific value. Multiple sections reference each other circularly ('See ## Prerequisites above', 'See ## Usage above'). The same commands (py_compile, --help) appear in multiple places. Generic instructions about error handling and output requirements explain things Claude already knows. | 1 / 3 |
Actionability | The MDR check points with specific regulation references (Annex XIV Part A, Article 83) and the JSON output format example are genuinely useful and concrete. The parameter table and CLI examples provide some executable guidance. However, much of the 'workflow' is generic boilerplate rather than domain-specific instructions, and hardcoded local paths (/Users/z04030865/...) reduce portability. | 2 / 3 |
Workflow Clarity | There are multiple competing workflow sections ('Example Usage' run plan, 'Implementation Details', 'Workflow' section) that are all generic and vague ('Confirm the user objective', 'Validate that the request matches the documented scope'). No specific validation checkpoints for the actual MDR audit process. The audit workflow itself—how to actually check compliance of documents against MDR requirements—is never clearly sequenced with verification steps. | 1 / 3 |
Progressive Disclosure | Monolithic wall of text with 20+ sections, many of which are boilerplate. References to 'references/audit-reference.md' exist but no bundle files are provided. Circular internal references ('See ## Prerequisites above') create confusion. Content that should be in separate files (security checklist, risk assessment, evaluation criteria, response template) is inlined, while the actual domain-specific MDR guidance that should be prominent is buried among generic sections. | 1 / 3 |
Total | 5 / 12 Passed |