What problem does it solve? Agent-generated code and rapid changes can silently introduce regressions, security issues, and quality degradation. This Skill provides a verification layer that scores output reliability, runs CI regression guards, and rolls back changes that fail a configurable quality threshold. ## Core Features & Use Cases - Truth Scoring: Computes 0.0-1.0 reliability metrics for code, agents, and tasks with trends, statistics, and export to JSON, CSV, or HTML. - CI Regression Guards: Ships behavioral smoke tests, a tool-description discoverability audit with monotone-decreasing baselines, and Ed25519-signed witness manifests that verify documented fixes remain present in builds. - Automatic Rollback: Reverts changes that fail verification against a configurable threshold (default 0.95), with selective, dry-run, and backup-first modes. - Use Case: A team running multi-agent code generation adds the verification check to their GitHub Actions pipeline so any commit scoring below 0.95 fails the build and is rolled back before merge. ## Quick Start Ask the agent to run a verification check on the current directory with the default 0.95 threshold and show the truth score report.