Content
67%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, actionable methodology skill with a clear five-step workflow and a built-in validation step. Its main weakness is conciseness — it over-explains causal-inference concepts Claude already knows — and the absence of any executable code examples or external reference files.
Suggestions
Tighten the Step 3 Causal Reasoning section: replace the MR and DAG concept explanations with terse procedural prompts (e.g. 'sketch DAG; flag confounders to adjust, mediators to leave, colliders to avoid') rather than teaching the underlying theory.
Add at least one concrete, executable example showing a ToolUniverse tool call followed by the Python integration/grading step, to make the COMPUTE, DON'T DESCRIBE directive immediately actionable.
Add an explicit feedback loop after Step 4 (e.g. 'if cross-validation contradicts the finding, return to Step 2 to re-query evidence before reporting') to raise workflow clarity to a 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient procedural guidance, but several paragraphs teach concepts Claude already knows — e.g. the Mendelian randomization explanation ('Genetic variants are assigned at conception, so they are not confounded…') and the DAG confounder/mediator/collider definitions — which could be tightened. | 3 / 5 |
Actionability | Provides concrete tool-discovery queries like `find_tools("gene enrichment pathway analysis")`, named databases (KEGG, Reactome, STRING, ClinVar, DGIdb), an evidence-grading table, and a report template; no executable code, but as an instruction-only skill the guidance is actionable with only minor gaps. | 4 / 5 |
Workflow Clarity | Clear five-step sequence (results→integration→causal reasoning→cross-validation→reporting) with Step 4 serving as an explicit falsification/validation gate; lacks an explicit error-recovery feedback loop, so it stops just short of a 5. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections (When to Use, Steps 1–5) with no nested references and no bundle files present; the detailed causal-reasoning deep-dive could arguably be split out, but the inline structure is sound. | 4 / 5 |
Total | 15 / 20 Passed |