Pattern Proposal: Telemetry-Grounded Health and Risk Assessment

Summary

Aggregates traceable metrics and open compliance findings into deterministic health status states and explanatory diagnostic reasons.

Candidate Pattern

• ID: telemetry-grounded-health-scoring
• Classification: governance
• Maturity: strategic_direction
• Type: emerging

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/dashboard/health_model.py (HealthStatus, calculate_health, get_health_reasons) - Health calculation engine mapping metrics to discrete status categories.
• src/cas_runner/governance/models.py (TraceableMetric, GovernanceHealth) - Data schemas carrying quantified health data.

Scope Assessment

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

Rationale

• Intent: Provide human supervisors and upstream CI runners with unambiguous health signals backed by concrete failure reasons.
• Context: Dashboard and runtime evaluation stages in cas_runner.
• Force: Automated agent workflows need early termination flags if system health degrades
• Force: High-level health dashboards must explain underlying diagnostic causes

Traceability

Artifact source: proposed-patterns