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    System Design Audit

    1

    one line on finding what breaks in production with evidence.

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    System Design Audit

    System Design Audit

    Example session with this skill installed

    a realistic flash-sale prompt, and a result built from the real shop-orders report in your tests fixtures. It has a verdict, a Critical findings table, one finding in full with code, strengths, and next steps.

    • Read your context and instructions
    • Compiled the system design audit
    • Generated the UI component

    I have completed the system design audit of the monorepo. The audit identified 2 Critical, 3 Normal, and 1 Good Practice findings. The binding constraint identified is the single-threaded nature of the order-processor worker, which will bottleneck under high checkout volume.

    System Design Audit Summary

    Verdict: The system is not production-ready due to potential data corruption in the checkout flow and a lack of idempotency in payment processing.

    Findings Breakdown

    SeverityCount
    Critical2
    Normal3
    Good Practice1

    Critical Findings

    SDA-001: Race condition in inventory deduction (services/checkout/logic.py:45). Simultaneous checkouts for the last item can result in overselling.

    SDA-002: Missing idempotency on Stripe webhooks (services/payments/webhooks.py:12). Duplicate webhook deliveries will result in multiple charges for the same order.

    The full report has been saved to docs/audits/system-design-audit-2023-10-27.md.

    Next steps

    1. Review the failure scenarios in the generated report for SDA-001 and SDA-002.
    2. Run fix SDA-001 to apply the recommended database-level atomic update.
    3. Verify the Stripe webhook logic against the remediation plan in the report.

    system-design-audit.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    markdown covering the evidence rule, the four modes, the ten lenses and 27 patterns, the privacy guarantees, and the 98% vs 80% benchmark.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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