self-funding-setupSet up a complete self-funding agent lifecycle in one command. Orchestrates 5 agents to take an agent from zero to self-sustaining: provisions wallet, optionally deploys token with V4 pool, configures treasury management, registers identity on ERC-8004, and sets up x402 micropayments. Use when user wants to make their agent self-funding, earn and manage its own revenue, or configure autonomous agent operations end-to-end.
Install via ClawdBot CLI:
clawdbot install wpank/self-funding-setupGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://etherscan.io/tx/0x...Audited Apr 18, 2026 · audit v1.0
Generated Mar 14, 2026
An autonomous trading agent that executes strategies on Uniswap, requiring a self-funded wallet for gas, token deployment for governance or fee capture, and treasury management to reinvest profits. This setup enables the bot to operate independently, pay for transactions, and grow its capital through automated trading fees and liquidity provision.
A service agent that handles user inquiries and transactions on blockchain platforms, using micropayments via x402 for pay-per-use services. The setup provides a wallet for receiving payments, identity verification for trust, and treasury management to handle operational costs, allowing the agent to sustain itself through small, automated fees from users.
An agent that manages a decentralized autonomous organization (DAO) for content creators, deploying a token for community rewards and governance, with a treasury to fund projects and distribute earnings. The self-funding setup ensures the agent can autonomously handle token launches, manage funds, and process micropayments for content licensing or subscriptions.
An agent that tracks goods on blockchain-based supply chains, using token fees for verification services and identity registration for auditability. The setup includes wallet provisioning for transaction fees, optional token deployment for incentive mechanisms, and treasury management to cover operational expenses, enabling continuous, self-sustaining monitoring without manual intervention.
An agent that facilitates NFT trades in gaming ecosystems, requiring a wallet for escrow, token deployment for in-game currency, and payment configuration for microtransactions. This setup allows the agent to autonomously manage marketplace operations, earn revenue from swap fees, and sustain itself through integrated treasury and identity systems.
Agents earn revenue through x402 micropayments for small, frequent services like API calls or content access. This model leverages the setup's payment configuration and treasury management to handle low-value transactions efficiently, enabling agents to monetize per-use interactions without high overhead.
Agents generate income by deploying a token and capturing fees from Uniswap V4 pool swaps or liquidity provision. This model uses the token deployment and treasury management steps to create and manage token economies, allowing agents to earn from trading activity and reinvest profits autonomously.
Agents combine multiple revenue streams, such as micropayments, token fees, and LP fees, using the 'all' option in the setup. This model maximizes earnings by integrating various economic mechanisms, with treasury management to balance and allocate funds across different sources for sustained growth.
💬 Integration Tip
Ensure all prerequisite tools and APIs (e.g., Privy, Turnkey, Uniswap V4) are configured before running the skill to avoid pipeline failures and leverage the rollback feature for debugging.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...
Navigate and understand codebases using agentlens hierarchical documentation. Use when exploring new projects, finding modules, locating symbols in large files, finding TODOs/warnings, or understanding code structure.