Content
82%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.
A well-structured, highly actionable investigation workflow with executable code and fallback strategies throughout. It is mostly concise and well-organized, though validation checkpoints between steps are implicit rather than explicit.
Suggestions
Add explicit validation/verification steps between major steps (e.g., confirm a non-empty target list before proceeding to off-target analysis) to strengthen the workflow's feedback loops.
Trim the Investigation Philosophy section to the essential chain, since the rest of the skill already demonstrates the approach concretely.
Consider extracting the per-tool API reference detail into a bundled reference file to keep SKILL.md as a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and code-focused, explicitly assuming Claude's pharmacology knowledge ('The LLM already knows drug pharmacology'), though the Investigation Philosophy section and some prose could be trimmed slightly. | 4 / 5 |
Actionability | Provides copy-paste ready, executable `tu.tools.*` calls with concrete parameters across all eight steps, plus a fallback-strategy table covering common failure cases. | 5 / 5 |
Workflow Clarity | A clearly numbered 8-step sequence with fallback/error-recovery guidance and an evidence-hierarchy checklist, but lacks explicit output-validation checkpoints between steps. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections with no nested references and no bundle files; all content is appropriately inline for a workflow guide, with only minor organization gaps. | 4 / 5 |
Total | 17 / 20 Passed |