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    Openclaw Agent Wallet

    by Nex AI

    Add budget limits, approval workflows, and a policy-gated wallet layer to your autonomous agents.

    Updated Jun 2026
    Security scanned

    $99

    · or 495 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Enforce daily and per-transaction spend limits on autonomous agents
    • Create a human-in-the-loop approval queue for high-value AI payments
    • env_vars automation included
    • Instant install

    Sample input

    Setup a wallet policy for my agent with a $50 daily limit and require my approval for any transaction over $10.

    Sample output

    Wallet policy initialized:

    • Daily Cap: $50.00
    • Approval Threshold: >$10.00
    • Audit Log: active (vault/audit.jsonl)

    The agent now routes all spend requests through the policy engine. Transactions >$10 will remain 'pending' until approved via the CLI.

    About This Skill

    Control Agent Spending without Giving Up Keys

    The OpenClaw Agent Wallet provides a robust policy and budgeting layer for autonomous agents. It solves the "blank check" problem by sitting between your agent's decision-making logic and your actual funds, ensuring no agent can accidentally or maliciously drain a wallet.

    What it does

    This skill implements a rigorous spend-gate. Instead of giving an agent direct access to private keys, it forces every transaction through a WalletPolicy engine. It supports hard caps (per transaction, per day, or lifetime), domain-based allow/deny lists, and a human-in-the-loop approval queue for high-value transfers.

    • Policy-Based Budgeting: Define strict financial guardrails in JSON.
    • Air-Gapped Signing: Communicates with an external signer service via WALLET_SIGNER_URL, keeping private keys entirely outside the agent's environment.
    • Human-in-the-Loop: Automatically queues transactions exceeding specific thresholds for manual CLI or webhook approval.
    • Immutable Audit Logs: Every success, failure, and manual intervention is recorded in an append-only JSON log for full accountability.

    Why use this skill?

    Prompting an AI to "be careful with money" is not a security strategy. This skill provides a technical enforcement layer that works regardless of the model's behavior. It is framework-agnostic, working seamlessly with OpenClaw or local Python-based agents, and focuses on the custody boundary—ensuring your credentials stay safe while your agent stays productive.

    Use Cases

    • Enforce daily and per-transaction spend limits on autonomous agents
    • Create a human-in-the-loop approval queue for high-value AI payments
    • Maintain an immutable audit log of every payment attempt and decision
    • Decouple private key management from agent logic via secure signer URLs

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    Security Scanned

    Passed automated security review

    Permissions

    Environment Variables

    File Scopes

    openclaw-agent-wallet/**

    Creator

    Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.

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