What problem does it solve?
Manually reviewing OPL pack admission candidates for registry fit, contract compliance, evidence coverage, and boundary clarity is time-consuming and error-prone for teams managing OPL pack registries and associated programs.
Core Features & Use Cases
- Standardized Gap Classification: Categorizes review findings into 8 predefined gap types including registry fit gaps, contract gaps, capability ABI gaps, authority ABI gaps, evidence gaps, owner route gaps, overclaim gaps, or no issues found.
- Actionable Route-Back Recommendations: Suggests the minimal required fix (schema adjustment, pack field correction, source reference update, owner route clarification, admission hold, or no change) for each identified gap.
- Boundary-Compliant Operation: Functions strictly as an AI-first reviewer, never mutating registry state, creating typed blockers, signing owner receipts, or declaring pack readiness.
Use Case: An OPL program owner can use this skill to quickly assess a new pack submission, identify missing evidence or unauthorized authority claims, and send a structured route-back brief to the pack owner to resolve gaps before formal admission.
Quick Start
Use the opl-pack-admission-reviewer skill to review the submitted OPL pack candidate 'clinical-research-tools-pack' against the core medical research program registry and generate a route-back brief for any identified gaps.
