runtime-parity-audit

name	runtime-parity-audit
description	Audit and reconcile drift between agent/prompt docs and actual runtime capabilities in SplitBrain.AI services, controllers, and MCP endpoints.
argument-hint	Prompt scope and runtime surfaces to verify
user-invocable	true
disable-model-invocation	false

Runtime Parity Audit

Inherits from task-core-loop.

Added Context

Use this to validate that prompt contracts match implemented behavior across the SplitBrain.AI stack.

Focus Surfaces

• .github/agents/smith.agent.md
• .github/copilot-instructions.md
• .github/skills/*/SKILL.md
• Docs/Prompts/ if present
• Wiki service (MemorySmith.App) prompt files under Data/ or Docs/
• Orchestrator API surface (src/Orchestrator.*/)
• MCP endpoint behavior

Additional Procedure

1. Extract behavioral claims from prompts/docs.
2. Map each claim to source code evidence.
3. Classify each claim as: aligned, drifted, stale, or unverifiable.
4. Patch prompt/docs or code based on source-of-truth intent.
5. Record explicit drift findings and follow-up tasks.

Output

• Parity matrix (claim -> code evidence -> status).
• Required updates with risk and confidence.