Content
80%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.
Strong, actionable content with executable code in two languages and a useful error table. It loses points on workflow clarity for credit-consuming steps that lack validation checkpoints, and slightly on conciseness due to dual-language duplication.
Suggestions
Add a validation checkpoint before the credit-consuming Steps 2 and 3 (e.g., confirm the search returned a person before enriching, or warn the user that the next call costs a credit).
Tighten the Python Step 4 to only the operations not already shown, or move it to a reference file, to reduce duplication with the TypeScript steps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with no concept-explanation padding and executable code throughout, but it duplicates the same three operations in both TypeScript (Steps 1-3) and Python (Step 4), adding tokens that could be tightened for a hello-world skill. | 2.5 / 3 |
Actionability | Provides fully executable TypeScript and Python code with real endpoints, headers, and parameters, plus a concrete error-handling table — copy-paste ready. | 3 / 3 |
Workflow Clarity | The four steps are clearly sequenced, but Steps 2 and 3 consume paid credits and there are no validation checkpoints or feedback loops (e.g., verify the response before proceeding), which caps credit-incurring workflows at 2. | 2 / 3 |
Progressive Disclosure | A single, well-organized SKILL.md with clearly signaled one-level-deep external doc links in the Resources section and no nested references; appropriate for a simple skill needing no bundle files. | 3 / 3 |
Total | 10.5 / 12 Passed |