Agent Payment Approval Layer

    2

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

    $49

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Withdraw 500 USDC to 0x742d...f44e and let me know when it's done.

    Your agent does

    [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"

    What you get

    Prevent unauthorized crypto transfers and wallet connectionsBlock accidental deletion of cloud resources or production filesEnforce human oversight for social media publishing and exportsAudit all high-stakes agent decisions via structured JSONL logs

    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.

    ai-agents
    agent-security
    approval
    autonomous-agents
    openclaw
    payments
    safety

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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