Content
77%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is a well-architected, instruction-only mapping skill with a clear multi-step workflow, explicit validation gates, and clean progressive disclosure to real reference files. Its main weakness is verbosity from cross-section restatement of the same distinctions, which inflates the token budget without adding guidance.
Suggestions
Consolidate the repeated layer/distinction lists: state the molecular→pathway→cell→tissue→consequence→phenotype layers and the direct/indirect/inference labels once in Core Function or Output Requirements, then reference rather than re-enumerate them in Hard Rules and What This Skill Should Not Do.
Add one short worked example (a few lines of a sample layered evidence chain for a simple disease) so the output format is unambiguous and copy-adaptable.
Trim the Sample Triggers and Expected User Inputs overlap, since both sections cover similar triggering phrasings.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is well-structured and avoids explaining concepts Claude already knows, but the same layer distinctions (molecular/pathway/cell/tissue/phenotype; direct/indirect/inference) are restated across Task, Skill Summary, Core Function, Output Requirements, Hard Rules, and What This Skill Should Not Do, creating noticeable redundancy. | 3 / 5 |
Actionability | Concrete, specific guidance throughout: a 9-step decision logic, each step naming the exact reference module and action to perform, plus a mandatory output structure (sections A–K) and a literal input-validation redirect template; the only gap is the absence of a worked example of a finished evidence-chain output. | 4 / 5 |
Workflow Clarity | A clear 9-step sequence is sequenced with an explicit validation checkpoint at the citation step (verify papers are real; if verification is incomplete, state so and do not present as formal evidence), plus a stop-and-redirect input-validation gate. | 5 / 5 |
Progressive Disclosure | SKILL.md acts as an overview that signals 11 one-level-deep reference modules, each invoked at its relevant step; all referenced paths resolve to real files, content is appropriately split (rules in references, orchestration in SKILL.md), and navigation is clear. | 5 / 5 |
Total | 17 / 20 Passed |