Content
72%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is highly actionable with an executable prompt template and clear step sequencing, but it carries verbatim duplication in its example and leaves the validation failure-recovery loop undescribed for a batch operation. Tightening the example and adding a retry-on-failure step would raise conciseness and workflow clarity.
Suggestions
Collapse the 'One-shot Example' to only the parts that differ from the prompt template (e.g., the filled-in {item_related_info} and resolved paths) instead of repeating the full template.
Add an explicit error-recovery loop: if validate_json.py fails, describe fixing the JSON and re-running validation before marking the item complete.
Clarify batch failure handling in Step 4 (what happens to failed items within a batch before launching the next).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with no concept over-explanation, but the 'One-shot Example' duplicates the prompt template's Field Definitions, Output Requirements, Output Path, and Validation blocks verbatim, which could be tightened. | 2 / 3 |
Actionability | Provides an executable Python f-string prompt template with fully specified variables, a concrete slugify rule, and a real validation command, making it copy-paste ready. | 3 / 3 |
Workflow Clarity | The five-step sequence and embedded validation gate are clear, but the skill does not describe the error-recovery feedback loop (fix and re-validate) for this batch operation, leaving the validation checkpoint's recovery path implicit. | 2 / 3 |
Progressive Disclosure | No bundle files exist and none are needed; content is cleanly organized into Trigger, Workflow, and Agent Config sections, satisfying the well-organized-sections criterion for a self-contained skill. | 3 / 3 |
Total | 10 / 12 Passed |