Content
75%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 a lean, well-structured overview that gives concrete retrieval guidance and clear lookup sequences appropriate for a single-purpose reference skill. It is held back from top marks only by minor trim opportunities, a missing concrete fetch example, and light error-handling guidance.
Suggestions
Add a copy-paste-ready WebFetch example for the llms.txt URL so the core action is fully executable.
Include a brief fallback note for when a topic is not found in the index or a page fetch fails.
Tighten the 'Role of This Skill' section so the reference-vs-action framing is stated once instead of repeated.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and does not over-explain concepts Claude already knows, but the 'Role of This Skill' section restates the reference-vs-action framing multiple times, leaving minor trim opportunities. | 4 / 5 |
Actionability | Gives a concrete URL, names the tool (WebFetch), and provides a 3-step lookup process plus a real CLI example ("databricks pipelines create"); a concrete WebFetch invocation example would close the remaining gap. | 4 / 5 |
Workflow Clarity | The fetch-index -> search -> fetch-pages -> apply sequence is clear and unambiguous for this read-only lookup skill, with minor gaps around what to do when a section is absent or a fetch fails. | 4 / 5 |
Progressive Disclosure | Well-organized overview with clearly signaled one-level-deep links to sibling skills; the body is appropriately self-contained, though the bundled image assets are not referenced from the body. | 4 / 5 |
Total | 16 / 20 Passed |