Content
90%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is tight and highly actionable: concrete commands, a full parameter table, and varied examples with no wasted tokens. The only soft spots are an underspecified result-formatting step and minor inline content that could be offloaded to a reference file.
Suggestions
Make the Step 3 result-formatting guidance concrete — e.g., show the expected JSON schema fields (title/url/snippet) and how to present them, rather than '정리하여 전달'.
Consider moving the region-code list and 검색 연산자 into a short references/ file and pointing to it from the body, keeping SKILL.md as a tighter overview.
Add a one-line validation checkpoint after script execution (e.g., check that the JSON is non-empty / parsed successfully before formatting) to strengthen the workflow feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no concept-padding (no explanation of what DuckDuckGo or web search is); every section — When to Use, Parameters table, Examples, operators — earns its place. | 5 / 5 |
Actionability | Fully executable, copy-paste-ready bash commands with a complete parameters table (all flags, defaults, region codes) and four concrete examples covering text/news/image/save-to-file cases. | 5 / 5 |
Workflow Clarity | Clear 3-step sequence (identify type → run script → format results) with an Error Handling section providing feedback loops, but the result-formatting step is underspecified and there are no explicit validation checkpoints. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections with one consistently-signaled, one-level-deep reference to the real scripts/search.py; minor gap is that region codes and operators are inlined where a separate reference could keep the overview tighter. | 4 / 5 |
Total | 18 / 20 Passed |