Content
50%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 core Usage, Input, and Output sections are genuinely useful and executable, but they are buried in a large amount of generic template boilerplate that adds no value. The workflow and file references are template-generated rather than tailored to the actual conversion task, with at least one dangling reference.
Suggestions
Remove the template boilerplate sections (Key Features, Dependencies, Risk Assessment, Security Checklist, Lifecycle Status, Evaluation Criteria, Response Template) and keep only Usage, Input, Output, Quick Check, Workflow, and Error Handling.
Fix the broken references: create the referenced requirements.txt (or remove the reference), and correct the import path to match the flat scripts/main.py layout instead of "skills.upset_plot_converter.scripts.main".
Replace the generic Workflow steps with task-specific steps that include a validation checkpoint, e.g. verify the output PNG was written and that at least one intersection met min_subset_size before declaring success.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is heavily padded with template boilerplate ("Scope-focused workflow aligned to:...", "`matplotlib`: `unspecified`", three "See `## ...` above for related details" fillers, Risk Assessment, Security Checklist, Lifecycle Status with "Next Review Date: 2026-03-06", Response Template) and the Notes section explains concepts Claude already knows ("When Venn diagrams exceed 4 sets, they become difficult to read"). It sits between 'severely verbose' and 'mostly efficient' but noticeably below the midpoint, since the Usage/Input/Output core is direct and complete. | 2 / 5 |
Actionability | The Usage section gives complete, concrete Python examples for both input forms, and the referenced functions (convert_venn_to_upset, upset_from_lists) exist in scripts/main.py, with runnable commands ("python -m py_compile scripts/main.py"). Minor gaps keep it below 5: the import path "from skills.upset_plot_converter.scripts.main import ..." does not match the flat scripts/main.py bundle layout, and requirements.txt is referenced but does not exist. | 4 / 5 |
Workflow Clarity | A 5-step Workflow with fallback checkpoints ("If execution fails or inputs are incomplete, switch to the fallback path") and a per-failure Error Handling section exist, but the steps are generic template text ("Confirm the user objective", "Return a structured result") with no task-specific validation such as verifying the output PNG was created or that intersections were non-empty. | 3 / 5 |
Progressive Disclosure | The single bundle file scripts/main.py is clearly referenced, but organization is weak: a broken reference to a nonexistent requirements.txt, duplicated Dependencies vs Requirements sections (pandas appears only in one), confusing self-references ("See `## Prerequisites` above" pointing to a later section), and a non-portable cd "20260318/scientific-skills/..." example path. | 3 / 5 |
Total | 12 / 20 Passed |