Pattern Proposal: Declarative Rule Evaluation and Finding Aggregation

Summary

Runs rule-based audits against candidate architectural changes and aggregates findings into structured compliance metrics.

Candidate Pattern

• ID: declarative-compliance-findings-aggregation
• Classification: governance
• Maturity: established
• Type: implemented

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/governance/compliance_engine.py (ComplianceEngine) - Evaluates architectural deltas against defined compliance criteria.
• src/cas_runner/governance/models.py (ComplianceFinding, ComplianceMetrics, GovernanceRisks) - Structured findings and aggregated metric models.

Scope Assessment

• Evidence Strength: high
• Confidence: high
• Applies to: ideas-to-life-cas

Rationale

• Intent: Detect architectural violations early in the agent execution loop and generate machine-readable findings.
• Context: Executing CAS automated run flows and GitHub workflow compliance validation checks.
• Force: Agents need clear feedback on why an architectural delta is rejected
• Force: Continuous steering requires quantitative health and risk metrics rather than subjective pass/fail

Traceability

Artifact source: proposed-patterns