Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is actionable and well-structured with strong progressive disclosure, but it could be tightened (the bilingual trigger block and thesis prose add length) and the batch workflow lacks an explicit validation checkpoint.
Suggestions
Remove the duplicate Japanese trigger listing (or move it to a reference) since trigger guidance already lives in the description; trim the 'Core thesis' rationale to one line.
Add an explicit validation step between Phase 1 and Phase 2, e.g. 'Review the skipped list and confirm run_context.data_date is recent before presenting the report.'
Consider moving the Shapiro thesis detail into references/shapiro-methodology.md and keeping the Overview to a single orienting sentence.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient for a complex skill, but the bilingual English/Japanese trigger block duplicates guidance already in the description and the 'Core thesis (Shapiro)' paragraph is partly conceptual rationale that could be tightened. | 2 / 3 |
Actionability | Provides concrete, copy-paste-ready commands with flags across three usage modes, explicit output file paths, and precise classification thresholds (>=90, <=10). | 3 / 3 |
Workflow Clarity | A clear 3-phase sequence with numbered Shapiro steps is present, but the batch operation (up to 65 API calls) lacks an explicit validation checkpoint (e.g., review the 'skipped' list or verify 'data_date' before presenting), which caps it at 2. | 2 / 3 |
Progressive Disclosure | SKILL.md is a well-organized overview with one-level-deep references clearly signaled via a 'Resources' and 'When to Load References' section; all referenced files and scripts exist and content is appropriately split. | 3 / 3 |
Total | 10 / 12 Passed |