Content
47%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 clear, well-checkpointed workflow and a genuine one-level-deep reference, but it is padded with generic templated boilerplate and lacks a concrete example of its actual output (animation storyboard / lay explanation), dragging down conciseness and actionability.
Suggestions
Remove the generic boilerplate that adds no task-specific value (Security Checklist, Lifecycle Status, Risk Assessment table, Evaluation Criteria) or move it into a reference file, keeping SKILL.md lean.
Replace the empty '## Example' stub with a real worked example showing the animation storyboard and simplified lay explanation for the PD-1 inhibitor case.
Add a concrete runnable invocation with real parameter values (e.g. 'python scripts/main.py --drug pembrolizumab --target PD-1 --disease melanoma --audience patient') and the expected output shape.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Large portions are templated boilerplate Claude already knows — a generic 9-item Security Checklist, Lifecycle Status 'Draft', 'Known Issues: None', 'Planned Improvements: Performance optimization', and meta sentences like 'Repository baseline for current packaged skills' — padded with unnecessary context, matching the 'verbose; explains concepts Claude knows' anchor rather than the mostly-efficient 2. | 1 / 3 |
Actionability | Provides concrete executable commands ('python -m py_compile scripts/main.py', 'python scripts/main.py --help') and a real script path, but gives no concrete example of the actual deliverable — the '## Example' section is a single label ('PD-1 inhibitor mechanism for patient education') with no storyboard/explanation output, so key details are missing. | 2 / 3 |
Workflow Clarity | The numbered Workflow has explicit validation checkpoints ('stop early if the task would require unsupported assumptions') and a fallback loop ('If execution fails or inputs are incomplete, switch to the fallback path'), with dedicated Quick Check and Audit-Ready Commands sections, matching the 'clear sequence with explicit validation steps; feedback loops' anchor. | 3 / 3 |
Progressive Disclosure | The referenced bundle is real and one-level-deep (references/audit-reference.md is clearly linked and exists, scripts/main.py is signaled), but the ~189-line body itself is inline-heavy — Risk Assessment, Security Checklist, Lifecycle, Evaluation Criteria boilerplate that should live in separate files — so it is 'some structure but content that should be separate is inline' rather than a lean overview pointing outward. | 2 / 3 |
Total | 8 / 12 Passed |