BFunBot is a versatile AI agent skill for deploying tokens on BSC, managing creator fee earnings, and accessing a unified LLM gateway.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bfunbot-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bfunbot-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is BFunBot?
BFunBot is a specialized skill designed to empower AI agents with deep integration into the Binance Smart Chain (BSC) and advanced AI model orchestration. By utilizing this skill within the ecosystem of Openclaw Skills, developers can bridge the gap between natural language processing and on-chain actions. It provides a robust infrastructure for token creation, wallet management, and financial tracking, all while offering a streamlined gateway to leading AI models.
Beyond blockchain functionality, BFunBot acts as a centralized AI provider, allowing agents to route requests to various high-performance models using a single set of credits. This dual-purpose nature makes it an essential component for creators looking to automate DeFi workflows and AI-driven content generation through Openclaw Skills.
BFunBot Use Cases
- Deploying new tokens on BSC with automated gas sponsorship and wallet setup.
- Monitoring real-time creator fee earnings and token performance across BSC platforms.
- Accessing premium AI models like Claude, GPT, and Gemini through a unified LLM gateway.
- Automating model credit top-ups from on-chain trading wallets for continuous agent operation.
- Checking daily token creation quotas and wallet balances using natural language commands.
How BFunBot Works
- The AI agent authenticates with the BFunBot API using a secure API key to access both blockchain and LLM services.
- Token creation requests are handled asynchronously, where the skill initiates a job and polls for the transaction's completion on the BSC network.
- For financial queries, the skill retrieves pre-computed data from a cache to provide near-instant updates on fee earnings and portfolio status.
- LLM requests are proxied through the BFun Gateway, which translates standard API formats into specific model instructions while managing credit consumption.
- Automated reload hooks can be triggered to transfer USDT from a trading wallet to BFun.bot Credits when balances run low.
BFunBot Setup
- Generate an API key (starting with
bfbot_) at the BFunBot settings dashboard. - Install the skill into your environment using the command line:
install the bfunbot skill from https://github.com/BFunBot/skills/tree/main/bfunbot
- Configure your
~/.openclaw/openclaw.jsonfile to include BFunBot as a model provider for your Openclaw Skills setup. - Deposit a minimum of $1 to your BFun.bot Credits to enable the LLM gateway features.
- Restart the Openclaw gateway to apply the configuration changes.
BFunBot Data Schema & Taxonomy
BFunBot manages its operations using a structured schema that categorizes blockchain assets and AI model metadata. Below is an overview of how data is organized within the skill:
| Data Type | Description | Key Attributes |
|---|---|---|
| Account Data | User profile and connected social metadata. | Twitter ID, wallet addresses, follower counts. |
| Job Metadata | Status tracking for asynchronous blockchain tasks. | Job ID, status (pending/failed/completed), token address. |
| Financial Data | Real-time and cached on-chain balances. | BNB balance, USDT balance, credit balance in USD. |
| Fee Metrics | Breakdown of earnings from deployed tokens. | Platform (flap/fourmeme), total earned BNB, token count. |
| LLM Catalog | Available AI models and their technical limits. | Model ID, context window size, provider origin. |
BFunBot Advanced Features
- Unified LLM Gateway supporting Anthropic and OpenAI message formats for maximum agent compatibility.
- Automated Credit Reload system that uses on-chain USDT to top up agent credits without human intervention.
- Async deployment engine with built-in polling mechanisms to handle BSC network latency.
- Pre-computed database caches for fee earnings to provide high-performance financial reporting within Openclaw Skills.
- Emergency kill switch for agents to self-disable reload permissions in case of unexpected behavior.
SKILL.md
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