Content
70%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-validated workflow with a real one-level reference, but it is padded with verbatim repetition, generic boilerplate, and broken internal cross-references, and its domain-specific guidance is vaguer than its validation commands. Tightening the repetition and replacing example-outputs with actionable payer-value instructions would raise the weaker dimensions.
Suggestions
Remove the three verbatim repeats of the description sentence and fix the broken cross-references ("## Prerequisites" and "## Workflow" appear below, not above) to tighten conciseness.
Replace the illustrative "ICER = $45,000/QALY" line with concrete steps or a runnable reference for how the skill produces ICER, budget-impact, and value-dossier outputs.
Trim generic boilerplate (Security Checklist, Evaluation Criteria, Lifecycle Status) or move it into a reference file so the body stays a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body repeats the description sentence verbatim three times ("When to Use", "Key Features", and the frontmatter) and includes generic boilerplate (Security Checklist, Evaluation Criteria, Lifecycle Status) plus broken cross-references ("See `## Prerequisites` above" and "See `## Workflow` above" point to sections that are below), so it is mostly functional but padded with unnecessary repetition and could be tightened. | 2 / 3 |
Actionability | It provides executable validation commands ("python -m py_compile scripts/main.py", "python scripts/main.py --help") and lists parameters/returns, but the core domain guidance for actually developing a payer value proposition is vague — "ICER = $45,000/QALY with uncertainty analysis" is an example output rather than instructions — so concrete guidance is present but incomplete. | 2 / 3 |
Workflow Clarity | The five-step Workflow is clearly sequenced with validation checkpoints ("Validate that the request matches the documented scope and stop early if...") and an explicit fallback path on failure (step 5), reinforced by dedicated Error Handling and Input Validation sections, matching the clear-sequence-with-feedback-loops anchor. | 3 / 3 |
Progressive Disclosure | SKILL.md serves as an overview with a single, real, one-level-deep reference (references/audit-reference.md) that is clearly signaled and linked, and a packaged scripts/main.py entry point, so navigation is easy and the reference structure is appropriately shallow. | 3 / 3 |
Total | 10 / 12 Passed |