Works with the AI tools you already use
Openclaw Agent Wallet
by Nex AI
Add budget limits, approval workflows, and a policy-gated wallet layer to your autonomous agents.
Secure checkout via Stripe
See it in action
You say
Setup a wallet policy for my agent with a $50 daily limit and require my approval for any transaction over $10.
Your agent does
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.
What you get
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.
Changelog
- v1.1LatestJul 13, 2026
Refreshed audited build: manifest, README, worked examples and security declarations cleaned up.
- v1.0Jun 15, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean 17 days ago
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
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.
Frequently Asked Questions
Popular in AI Agents & LLM Ops
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
Open Browser Use
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.

prompt-engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
codex-grade-coding
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.