Content
93%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 lean, fully actionable, and well-structured with verified one-level-deep references, scoring at or near the top on every dimension. The only minor gap is the absence of an explicit error-recovery feedback loop around the review script run.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a lean ~11 lines with no padding and no explanation of concepts Claude already knows; it assumes competence and every line earns its place, matching the 'lean and efficient' anchor. | 5 / 5 |
Actionability | Step 4 gives a fully copy-paste-ready, specific command ('python3 scripts/review_action.py --policy assets/sandbox-policy.json --request assets/example-request.json') and the other steps point to concrete real files, matching the 'fully executable; copy-paste ready' anchor. | 5 / 5 |
Workflow Clarity | The five steps are clearly sequenced with real paths and step 5 returns a verdict (the validation output), but there is no explicit error-recovery feedback loop (e.g., what to do if the script errors or the verdict is ambiguous), so it sits at 'clear sequence with most checkpoints; minor validation gaps' rather than 5. | 4 / 5 |
Progressive Disclosure | The SKILL.md is a concise overview that signals one-level-deep references to real bundle files (references/threat-model.md, scripts/review_action.py, assets/sandbox-policy.json, assets/example-request.json — all verified present), with content appropriately split and easy to navigate, matching the top anchor. | 5 / 5 |
Total | 19 / 20 Passed |