Content
92%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 a well-structured, actionable, multi-step workflow with strong validation checkpoints and clean progressive disclosure into real reference/asset files. Its only weakness is minor verbosity where safety constraints are restated across sections.
Suggestions
Consolidate the safety-boundary restatements: the intake validator already enforces most 'Never' rules, so the body can reference the gate rather than re-listing them.
Tighten the 'Critical distinction' and inline emphasis callouts into shorter one-line notes to reduce token cost without losing the warning.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and assuming of Claude's competence, but a few passages restate safety constraints already enforced by the intake validator and some 'Critical distinction' callouts could be trimmed without losing clarity. | 4 / 5 |
Actionability | Provides copy-paste-ready commands for every workflow stage (e.g. 'python3 scripts/validate_review_intake.py completed-intake.json'), named template files to copy, and concrete ordered sub-steps covering the common cases. | 5 / 5 |
Workflow Clarity | An 11-step numbered workflow with an explicit intake gate, validation checkpoints ('Proceed only when status is READY_FOR_LOCAL_REVIEW'), and a lint→fix→finalize feedback loop with a handoff checklist—strong sequencing for a privacy-sensitive batch operation. | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview pointing to verified one-level-deep references (e.g. references/ethical_review_practice.md, references/reporting_standards.md) and assets, with annotated 'Local tool index' and 'References and assets' sections enabling easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |