Content
53%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 body is actionable and well-structured with a genuine reference bundle, but it is padded with generic boilerplate template sections and lacks concrete validate-fix-retry feedback loops for its batch/destructive cleaning operations. Tightening the appended template material and adding explicit SDTM re-validation checkpoints would raise both conciseness and workflow clarity.
Suggestions
Remove or condense the appended generic template sections (Output Requirements, Response Template, Output Contract, Failure Handling, User Checkpoints, Required Inputs) and the verbatim 'When to Use' restatement of the description to cut boilerplate padding.
Add an explicit validate->fix->retry feedback loop in the Workflow that re-runs SDTM IG validation (e.g. validate_domain / cross-check against references/sdtm_ig_guide.md) after each cleaning pass rather than only generic 'confirm with user' checkpoints.
Replace the audit --input text-string example with a real file-path invocation consistent with the CLI Usage examples so all runnable commands are copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | While the code and field lists are relevant, the body carries noticeable boilerplate padding — a 'When to Use' section that restates the description verbatim and appended template sections (Output Requirements, Response Template, Output Contract, Failure Handling, User Checkpoints, Required Inputs) that repeat generic scope/fallback ideas rather than clinical-data specifics. | 2 / 5 |
Actionability | Provides mostly executable guidance — real Python API calls, concrete CLI commands with flags, required-field lists, and a clinical-threshold table — with only minor gaps (e.g. the audit --input example uses a text string rather than a file path). | 4 / 5 |
Workflow Clarity | A 5-step workflow with a quick-check and fallback language exists, but for a batch/destructive clinical-data skill the validation checkpoints are generic ('confirm with user') rather than concrete validate->fix->retry loops against SDTM IG, which caps the score per the batch-operations guideline. | 3 / 5 |
Progressive Disclosure | The body acts as an overview pointing to real, one-level-deep reference files (common-patterns, troubleshooting, sdtm_ig_guide, domain_specs, outlier_thresholds) that all exist and are clearly signaled, with bulk detail offloaded; minor inlining of boilerplate keeps it just below the top anchor. | 4 / 5 |
Total | 13 / 20 Passed |