Content
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is lean, executable, and well-organized for a simple single-task skill. The main gap is missing validation/verification guidance for batch operations, which limits workflow clarity.
Suggestions
Add a validation checkpoint for bulk import, e.g. run 'cache.py stats' after import and confirm the new contact count matches the CSV row count.
Document how to handle partial failures in bulk operations (duplicate rows, malformed URLs) and how to re-run safely.
Note the expected behavior of 'check' on a multi-URL list (e.g. output which are cached vs new) so the batch workflow result is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: short Usage/Data/Valid Statuses sections with no padding or explanation of concepts Claude already knows. | 3 / 3 |
Actionability | Provides fully executable, copy-paste-ready bash invocations with real flags and a real script path (skills/contact-cache/scripts/cache.py). | 3 / 3 |
Workflow Clarity | Operations are individually clear, but batch operations (bulk CSV import, multi-URL check) lack validation checkpoints or feedback loops for handling partial failures or verifying results, capping workflow clarity at 2. | 2 / 3 |
Progressive Disclosure | A simple, single-purpose skill under 50 lines with well-organized sections and a real referenced bundle file (scripts/cache.py); no nested references, so structure is appropriate. | 3 / 3 |
Total | 11 / 12 Passed |