Truth First Enterprise
Transform AI claims into verified, risk-assessed technical reports for production, DevOps, and enterprise governance.
$5
Works with the AI Agents you already use
truth-first-enterprise
Example session with this skill installed
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.
- Read your context and instructions
- Compiled the truth-first-enterprise
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.
Connects securely to your tools. The creator never sees your data.
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.
Supported Use Cases
- Go/No-Go deployment decisions.
- Production incident root-cause analysis and updates.
- Security and compliance-sensitive status checks.
- Executive-facing technical summaries and architecture reviews.
- Does not perform automated system access or data fetching; relies on data provided in context.
- Cannot verify physical hardware status without digital monitoring logs.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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