okhp3-behavioral-baselining

Topics in the source

• okhp3-behavioral-baselining
• Outcome
• Scope
• Inputs
• Procedure
• Validation loop
• Safety and failure boundaries
• Output contract

OverKill Hill P³ · overkillhill.com · github.com/OKHP3 Define normal behavior for a bounded population and identify meaningful deviations with uncertainty. Work only with the approved evidence, environment, and decision boundary named in the inputs. This package produces analytical or lab evidence; it does not grant authority, expand scope, or prove live-system security. Approved telemetry, population and time window, privacy rules, deployment context, and maintenance calendar. 1. Confirm scope, authority, owner, evidence status, and stop conditions. 2. Define population and minimization rules 3. profile stable features 3. record release and maintenance changes 3. set thresholds with validation data 3. version the baseline and review drift. Compare the result with the stated scope, expected output, and evidence tier. Reconcile contradictions, missing prerequisites, and benign explanations before a conclusion. Record the reviewer, timestamp, limitations, and next authorized action; return blocked or defer-for-evidence when needed. Establish privacy-aware baselines for agent behavior, tool use, requests, resource consumption, and data flows. Use when detecting drift or evaluating con

This is an excerpt. Refer to the complete source and its current requirements.