okhp3-model-anomaly-detection

Topics in the source

• okhp3-model-anomaly-detection
• Outcome
• Scope
• Inputs
• Procedure
• Validation loop
• Safety and failure boundaries
• Output contract

OverKill Hill P³ · overkillhill.com · github.com/OKHP3 Identify behavior outside a documented envelope and route it for safe review. 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. Versioned baseline, approved telemetry, model and tool versions, synthetic fixtures, privacy rules, and maintenance calendar. 1. Confirm scope, authority, owner, evidence status, and stop conditions. 2. Confirm compatible baseline 3. measure approved features 3. separate model, prompt, tool, data, and environment hypotheses 3. use synthetic regression fixtures 3. record uncertainty and route action through governance. 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. Detect meaningful changes in approved model behavior, tool use, refusal patterns, or output risk. Use when evaluating prompt injecti

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