2

    truth-first-enterprise

    by Roy Yuen

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

    Updated May 2026
    78 views
    Security scanned

    $5

    One-time purchase · Own forever

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Validate AI-generated code against existing security and architecture standards
    • Generate evidence-backed risk assessments for production deployment gates
    • file_read automation included
    • Ready for Claude Code
    • Instant install

    See it in action

    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.

    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.

    📖 Learn more: Best DevOps & Deployment Skills for Claude Code →

    Use Cases

    • Validate AI-generated code against existing security and architecture standards
    • Generate evidence-backed risk assessments for production deployment gates
    • Audit complex technical proposals for factual accuracy and missing dependencies
    • Automate truth-verification for enterprise governance and compliance reviews

    Reviews

    No reviews yet — be the first to share your experience.

    Only users who have downloaded or purchased this skill can leave a review.

    Security Scanned

    Passed automated security review

    Permissions

    Read Files

    Claude Code, GitHub Copilot, Windsurf, Cursor, Roo Code

    Creator

    Frequently Asked Questions

    Similar Skills

    $5

    One-time