Content
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is almost entirely generic boilerplate with minimal domain-specific content about medical abstract summarization. The actual useful information (Features list, Input Parameters table, Output Format JSON) comprises perhaps 15% of the document, while the remaining 85% is repetitive, self-referential scaffolding that could apply to any skill. There are no examples of medical abstracts being converted, no jargon replacement rules, no reading-level guidance, and no executable code—making this skill essentially non-functional for its stated purpose.
Suggestions
Replace the generic workflow and boilerplate sections with concrete medical summarization guidance: include 1-2 full examples showing an input abstract and the expected plain-language output with jargon replacements.
Add specific, actionable rules for the core task: how to identify and replace medical jargon, how to verify Grade 6-8 reading level, what constitutes a good key takeaway extraction.
Remove all circular self-references ('See ## X above') and consolidate the overlapping sections (Error Handling, Input Validation, Output Requirements, Response Template) into a single concise section.
Either provide the actual scripts/main.py content or remove all references to it and make the skill instruction-based with concrete inline guidance instead of delegating to phantom files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose and repetitive. Multiple sections reference each other circularly ('See ## Features above', 'See ## Prerequisites above', 'See ## Workflow above'). Contains extensive boilerplate (Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria) that adds no actionable value for Claude. The actual domain-specific content (medical abstract simplification) is buried under generic scaffolding. Many sections repeat the same ideas (Error Handling, Input Validation, Output Requirements, Response Template all overlap significantly). | 1 / 3 |
Actionability | Despite the length, there is no concrete guidance on how to actually convert a medical abstract to plain language. The 'scripts/main.py' is referenced repeatedly but no actual code or logic is shown. The workflow steps are entirely generic ('Confirm the user objective', 'Validate that the request matches') with no medical-domain-specific instructions. There are no examples of input abstracts, expected plain-language outputs, or jargon replacement rules. | 1 / 3 |
Workflow Clarity | The workflow section contains only generic meta-process steps with no domain-specific sequencing. There are no validation checkpoints for the actual summarization task (e.g., checking reading level, verifying jargon removal). The 'Example run plan' is vague and procedural without concrete commands or decision points. Multiple workflow-like sections exist (Example Usage, Implementation Details, Workflow) creating confusion about which to follow. | 1 / 3 |
Progressive Disclosure | Circular self-references ('See ## Features above', 'See ## Prerequisites above') add confusion rather than navigation. References to 'references/' directory and 'scripts/main.py' are made without any bundle files provided, making them unverifiable dead ends. The document is a monolithic wall of text with no meaningful content separation—everything is inline in one massive file with no clear hierarchy between essential and supplementary information. | 1 / 3 |
Total | 4 / 12 Passed |