Content
86%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.
A well-structured, actionable skill body with a concrete extraction command, explicit success criteria, error-handling feedback loops, and clean one-level-deep reference to its script bundle. Minor conciseness gains are available in the inline output-spec comments.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence; avoids explaining basic concepts. The large JSON output example carries per-field inline comments that earn their place but could be trimmed slightly for some obvious fields. | 4 / 5 |
Actionability | Copy-paste-ready executable command ('eval "$(python scripts/extract-item-detail.py)"'), explicit preconditions (navigate -> wait stable), a full output example, and concrete per-error root-cause/remediation guidance. | 5 / 5 |
Workflow Clarity | Clear sequence (navigate -> wait stable -> eval) with explicit validation via the Success Criteria section and a test-before-batch checkpoint plus error-resumption feedback loop. Falls just short of the top anchor because the main extraction flow is not presented as an explicit numbered validated checklist. | 4 / 5 |
Progressive Disclosure | Well-organized single overview with a one-level-deep, clearly signaled reference to scripts/extract-item-detail.py ('no need to read scripts/*.py source code... Only inspect scripts when execution fails'). The bundle file referenced in the body exists, and extraction logic is appropriately split into the script. | 5 / 5 |
Total | 18 / 20 Passed |