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 content is a strong, tightly written instruction-only skill: a clear 5-step workflow, concrete defaults and field-level schema detail, an explicit validation checklist, and an anti-patterns section. Minor gaps — no example output JSON, no error-recovery loop after validation, and slight schema-table duplication — keep it just below top marks.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes competence — it never explains what GDPR or encryption is — with concrete tables instead of prose. It is not 5 because the DataClass fields are listed twice (inline in the data_classes row and again in the dedicated DataClass table), a small redundancy that could be trimmed. | 4 / 5 |
Actionability | Guidance is highly concrete: specific defaults ("retention: 7 days", "Default 90 days", "/workspace/<engagement>/evidence/"), exact field names, a full schema table, and a validation checklist. It is not 5 because there is no example plan/data-handling.json document showing a complete valid output. | 4 / 5 |
Workflow Clarity | Five clearly sequenced steps are followed by an explicit Validation Checklist and an anti-patterns section that functions as error avoidance, matching anchor 4. It is not 5 because there is no feedback loop instructing what to do when a checklist item fails before writing the output. | 4 / 5 |
Progressive Disclosure | Sections are well-organized with no bundle files to reference, and the inline schema table is appropriately central to the single output artifact. It is not 5 because the body exceeds the under-50-lines simple-skill threshold and the document schema section could arguably live in a separate reference file. | 4 / 5 |
Total | 16 / 20 Passed |