Content
61%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 body delivers concrete, executable R-script guidance and useful data-format/output specifications, but is weakened by generic boilerplate padding and inconsistent guidance about whether the R or Python script is the primary implementation surface. Fixing the script contradiction and trimming boilerplate would meaningfully improve the score.
Suggestions
Resolve the script contradiction: designate the R script (per the Workflow) as the single primary implementation surface and stop presenting `radial_plot_backup.py` as primary in Example Usage, Implementation Details, and Quick Validation; frame the Python file explicitly as a fallback only.
Remove or condense the generic boilerplate sections (When to Use, When Not to Use, Required Inputs, Output Contract, Validation and Safety Rules, Failure Handling) that restate non-skill-specific guidance.
Add an explicit validate→fix→retry feedback loop in the Workflow (e.g., if column validation fails, report the missing column and re-validate) and fix the 'See ## Workflow above' cross-reference to point to the correct, later section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core operational content (data-format tables, the Rscript command, the output template) is efficient, but generic boilerplate sections ("When to Use", "When Not to Use", "Required Inputs", "Output Contract", "Validation and Safety Rules", "Failure Handling") add padded, non-skill-specific tokens that could be trimmed. | 3 / 5 |
Actionability | The Workflow supplies an executable `Rscript scripts/radial_plot.R "<csv_path>" "<type>" "<outcome_name>" "<output_dir>"` command with concrete parameter descriptions and data-format tables, but the body inconsistently presents `radial_plot_backup.py` as the primary implementation surface in Example Usage, Implementation Details, and Quick Validation. | 4 / 5 |
Workflow Clarity | A clear 3-step sequence with an input-validation checkpoint (columns, integrity, minimum 3 studies) is present, but there is no explicit validate→fix→retry feedback loop for this batch operation, and "See ## Workflow above" references a section that actually appears later in the document. | 3 / 5 |
Progressive Disclosure | Both referenced scripts (`scripts/radial_plot.R` and `scripts/radial_plot_backup.py`) are real, one-level-deep bundle files under a clear section structure, but navigation is slightly muddled by contradictory primary-script references and a misplaced cross-reference. | 4 / 5 |
Total | 14 / 20 Passed |