Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-crafted skill body: concise, actionable, with a clearly sequenced workflow and excellent one-level-deep progressive disclosure backed by real bundle files. No dimension shows a meaningful weakness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: it never explains concepts Claude already knows (what a CSV/plot is, how matplotlib works) and every section — interaction discipline, use/do-not-use, styles table, workflow, substitution tips — earns its tokens. | 3 / 3 |
Actionability | Guidance is concrete and executable: an exact styles-to-scripts table, 'Copy scripts/<script>.py into paper/figures/scripts/<figure_id>.py', 'replace only the clearly marked data and label section', and specific substitution rules (update width, color lists, tick and legend labels together). Per the rubric's instruction-skill note, the absence of inline code is not penalized because the direction is actionable and points to real bundled scripts. | 3 / 3 |
Workflow Clarity | A clear 7-step numbered sequence with concrete file operations and an inspect checkpoint (step 6, 'inspect the rendered output') plus a conditional handoff (step 7). The operation is a non-destructive render, so the lack of an explicit retry loop does not trigger the destructive/batch cap. | 3 / 3 |
Progressive Disclosure | SKILL.md is an overview that points to one-level-deep references/ and scripts/ files; the Available Styles table and Detailed Style Parameters section give clear navigation, and all eight referenced reference and script files verified present on disk. | 3 / 3 |
Total | 12 / 12 Passed |