Route paid requests to external models through a wallet-based pay-per-use system.
npx skills add https://github.com/BlockRunAI/blockrun-agent-wallet --skill blockrun
Please help me install this Agent Skill. Skill: blockrun Source: https://github.com/BlockRunAI/blockrun-agent-wallet/tree/main/skills/blockrun Command: npx skills add https://github.com/BlockRunAI/blockrun-agent-wallet --skill blockrun
BlockRun enables an AI agent to access capabilities it lacks locally (such as image generation or real-time data) by routing requests to external models via a wallet-based pay-per-use flow.
Interact with BlockRun to enable image generation or live data access by paying from the wallet when Claude lacks capabilities.
High-intent search queries and answers about installing and using this skill.
You can enable autonomous access to external models like DALL-E or Grok by routing paid requests through a wallet-based pay-per-use system. The agent coordinates balance checks, cost estimates, and user confirmations before executing the API calls.
To generate images or fetch live data when Claude lacks local capabilities, use a wallet-aware routing flow that estimates costs and prompts for user confirmation. This pay-per-use mechanism securely connects the agent to the required external tools.
Yes, you can use a wallet to pay for API calls when Antigravity credits are exhausted. The system applies wallet-based budgeting to route requests to external models, supporting second-opinion use cases and credit management.
You trigger external model routing by using specific slash commands or keywords like /blockrun or "use grok" within your workflow. This invokes the desired external tools for real-time data access or image generation.
Yes, the agent performs wallet-aware cost estimation and requires explicit user confirmation before paying for any external API calls. This ensures you maintain control over spending when accessing capabilities like DALL-E or Grok.
The pay-per-use system requires sufficient wallet balance and user confirmation for each external request, which can interrupt fully autonomous workflows. It is designed for on-demand capability access rather than continuous high-volume processing.
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