Content
61%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 admirably concise and reasonably well-structured for a simple meta-skill, but the fallback guidance is high-level rather than executable and the workflow lacks validation checkpoints around the memory-write step. Actionability and workflow clarity are the main weaknesses.
Suggestions
Make the fallback concrete: show the actual skill invocation order with example arguments (location, query, memory path) rather than only naming the skills.
Add a validation checkpoint before the memory_save append (e.g., confirm the digest is non-empty and within max_words) to lift workflow clarity above 3.
Note expected failure handling (e.g., what to do if weather or news returns nothing) so the workflow is robust end-to-end.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — a short overview paragraph and a brief fallback — with no padding or explanation of concepts Claude already knows; every token earns its place. | 5 / 5 |
Actionability | The fallback only names skills/tools ("call weather, then multi-search-engine, summarize, and finally memory_save manually") without concrete commands, arguments, or examples, leaving the specific execution steps missing. | 2 / 5 |
Workflow Clarity | The sequence (weather → news → summarize → memory_save) is stated, but there are no validation checkpoints, and the memory_save append is a write/batch-like operation which caps workflow clarity at 3 per the guidelines. | 3 / 5 |
Progressive Disclosure | For a short single-purpose skill with no external references needed, the body is well-organized into overview and Fallback sections; minor gaps only, appropriately avoiding unnecessary file references. | 4 / 5 |
Total | 14 / 20 Passed |