Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Openclaw Agent Wallet

    6

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

    Free

    1 installSecurity scanned
    openclaw-agent-wallet

    openclaw-agent-wallet

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the openclaw-agent-wallet

    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.

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

    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.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Verified clean 1 month ago

    • Free to download with an account

    Listed3 months ago
    Updated1 month ago

    What's inside

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