Truth First Enterprise

by Roy Yuen

Transform AI claims into verified, risk-assessed technical reports for production, DevOps, and enterprise governance.

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See it in action

You say

Run a production health check on the API Gateway and give me an action-ready status report on the recent latency spikes for the management update.

Your agent does

Claim: API Gateway latency surge Status: Verified Evidence: CloudWatch 'p99' metric at 4500ms Tier: 1 Risk: Critical Business Impact: Checkout failures, lost revenue. Action Posture: Do not proceed yet; escalate to On-call Lead. Handoff: logs attached, blocked on DB lock analysis.

What you get

Validate AI-generated code against existing security and architecture standardsGenerate evidence-backed risk assessments for production deployment gatesAudit complex technical proposals for factual accuracy and missing dependenciesAutomate truth-verification for enterprise governance and compliance reviews

About this skill

Enterprise-Grade Verification for Critical Decision Making

In high-stakes environments like production operations, architecture reviews, and deployment gates, "hallucination" isn't just an inconvenience—it's a liability. This skill transforms your AI agent from a conversationalist into a disciplined technical auditor, ensuring every claim is backed by rigorous evidence before action is taken.

What it does

The Truth First Enterprise skill enforces a strict evidence-driven protocol for technical reporting. It classifies information into structured tiers—ranging from primary production logs (Tier 1) to human recollection (Tier 3)—and assigns a verification status to every claim. This ensures that "Unknowns" or "Inferences" are never presented as settled facts, preventing premature or dangerous technical decisions.

Why use this skill

Production Safety: Automatically determines "action posture" (e.g., safe to proceed vs. escalate) based on evidence certainty.
Business Alignment: Every technical claim is framed within its business impact and risk level, making technical updates readable for management.
Inter-Agent Reliability: Provides a standardized handoff protocol so that subsequent agents or human operators don't have to reconstruct the evidence chain.
Risk Mitigation: Explicitly identifies blocked checks and contradictory data that traditional prompting often smooths over.