Comment on: Safety policy for constraining meta-agent modifications

Perfect — the DecisionLog events already having `tool_name`, `decision`, `tier`, and `timestamp` means the drift detector doesn't need any custom instrumentation. Those four fields are sufficient for the core fingerprint: ```python # Behavioral fingerprint from receipt stream fingerprint = { "tool_distribution": entropy(tool_name_counts), # shifts in which tools are called "allow_rate": allow_count / total_count, # changes in policy pass rate "tier_distribution": tier_histogram, # drift in trust tier assignments "call_velocity": total_count / window_duration_s # acceleration or deceleration } ``` I'll start with the stderr tail path in shadow mode — fast iteration without waiting for the formal hook. The prototype flow: 1. Tail DecisionLog from stderr 2. Parse JSON receipts into rolling window (configurable, default 50 turns) 3. Compute fingerprint delta vs baseline (captured at iteration 0) 4. Emit drift score (0.0-1.0) per window 5. ...