Content
65%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is concise and well-organized with concrete commands, but actionability is weakened by unexplained placeholders and a thin Python example, the workflow lacks validation checkpoints, and the referenced files are missing from the bundle.
Suggestions
Add a short usage example for the chart_export imports (e.g., export_plotly_html(df, path)) so the Python section is actionable, and clarify the CLI placeholders (DB, DIR, WS, HID).
Add a verification step after run-eda (e.g., confirm data/eda_hub.html exists and opens) to close the batch workflow loop.
Either include the referenced files under references/ (eda.md, charts.md, reports.md) or remove the dangling 'Read order' references so disclosure is honest about what exists.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and well-sectioned with no padding or explanation of concepts Claude already knows; every line (triggers, commands, read order, import, report) earns its place. | 3 / 3 |
Actionability | Concrete CLI commands with real syntax are provided, but they use unexplained placeholders (DB, DIR, WS, HID) and the Python section shows only an import with no usage example, leaving the guidance incomplete rather than copy-paste ready. | 2 / 3 |
Workflow Clarity | Steps are sequenced (Read order 1-3, Commands, Report), but run-eda is a batch generation step with no validation or verification of outputs, so the workflow lacks the checkpoints that would raise it to a 3. | 2 / 3 |
Progressive Disclosure | The overview is well-signaled with one-level-deep references ('references/eda.md', 'charts.md', 'reports.md'), but those bundle files do not exist in the skill directory, so the navigation is dangling rather than functional. | 2 / 3 |
Total | 9 / 12 Passed |