Content
71%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 dense, well-structured workflow with highly actionable tool-specific guidance and clear sequencing. Weakest on progressive disclosure, since all reference-grade detail is inlined in a single long file with no external references.
Suggestions
Move the detailed per-tool input/output reference and the PRR/ROR/IC interpretation tables into a separate references/ file, keeping SKILL.md as an overview with one-level-deep links.
Add a concrete executable Python snippet (pandas/scipy) for computing or validating disproportionality metrics to back the COMPUTE, DON'T DESCRIBE directive.
Trim the general pharmacovigilance concept explanations (reporting biases, signal-credibility primer) to the specific thresholds and tool gotchas Claude would not already know.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and tool-specific (param gotchas like 'setid NOT set_id', 'limit=1000', NOT_FOUND handling), though the bias explanations (channeling, notoriety, protopathic) and the PRR interpretation table edge toward over-explanation Claude largely already knows. | 4 / 5 |
Actionability | Concrete tool names with explicit inputs, outputs, and decision thresholds (PRR >= 2.0, lower CI > 1.0, N >= 3), but the COMPUTE section directs Python use without an executable code example for the disproportionality math. | 4 / 5 |
Workflow Clarity | Clear 7-phase sequence (0-6) with per-phase objectives, tools, and numbered steps plus signal criteria as decision checkpoints; read-only pipeline so destructive-validation caps do not apply, but no explicit error-recovery feedback loop is present. | 4 / 5 |
Progressive Disclosure | Well-organized into sections but monolithic (~290 lines, no bundle files) with detailed tool I/O reference and signal-interpretation tables inlined that could live in separate reference files; no one-level-deep references are signaled. | 3 / 5 |
Total | 15 / 20 Passed |