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    agent-payment-approval-layer

    by karim hammoumi

    A security gate that intercepts sensitive agent actions like payments and deletes for mandatory human approval.

    Updated May 2026
    Security scanned
    One-time purchase

    $49

    One-time purchase

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

    Included in download

    • Prevent unauthorized crypto transfers and wallet connections
    • Block accidental deletion of cloud resources or production files
    • terminal automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    [SECURITY PENDING] Action: Withdraw 500 USDC
    Target: 0x742d...f44e
    Status: Awaiting Approval
    Request ID: tx_99281_auth
    
    To proceed, run: /approve tx_99281_auth
    To cancel, run: /reject tx_99281_auth --reason "Too expensive"

    About This Skill

    Secure Oversight for Autonomous Agents

    The Agent Payment Approval Layer is a critical security middleware designed for developers building autonomous AI agents with the power to interact with financial systems, cloud infrastructure, or sensitive data. It solves the high-risk problem of "unsupervised execution," where an LLM hallucination or bad prompt can lead to unauthorized financial transactions or data loss.

    How it Works

    This skill acts as a non-bypassable gate between your agent's intent and its execution. It intercepts high-stakes actions—such as processing payments, transferring funds, or deleting resources—and places them in a pending state. It generates a unique request ID and halts execution until a human provides explicit authorization.

    Key Features

    • Broad Protection: Guards against unauthorized payments, withdrawals, wallet connections, and destructive deletions.
    • Privacy-First: Operations are fully local; the skill never requires access to private keys, seeds, or sensitive credentials.
    • Audit Ready: Every request, approval, and rejection is logged to a local JSONL file for full traceability and compliance.
    • Developer Friendly: Includes a dry-run mode for testing agent logic without risking real assets.

    By using this structured approval layer instead of basic prompting, you ensure a deterministic security boundary that cannot be bypassed by prompt injection or model unpredictability.

    Use Cases

    • Prevent unauthorized crypto transfers and wallet connections
    • Block accidental deletion of cloud resources or production files
    • Enforce human oversight for social media publishing and exports
    • Audit all high-stakes agent decisions via structured JSONL logs

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