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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
blockrun
description
BlockRun works with Claude Code and Google Antigravity.
type
skill
created
2026-02-27T00:00:00.000Z
domain
ai-ml
category
llm-agents
risk
unknown
source
community
tags
["skill","ai-ml","llm-agents","blockrun"]
BlockRun
BlockRun works with Claude Code and Google Antigravity.
You can't generate images. You have no real-time X/Twitter access. BlockRun gives you these capabilities.
Philosophy
You have a wallet. When you need a capability you lack, you pay for it autonomously.
You Need
You Call
Pricing
Image generation
DALL-E
$0.04/image
Real-time X data
Grok + Live Search
$0.025/source
Second opinion
GPT-5.2
$1.75/M input, $14/M output
Cheaper processing
DeepSeek
$0.14/M input, $0.28/M output
How it works: BlockRun uses x402 micropayments to route your requests to OpenAI, xAI, Google, and other providers. No API keys needed - your wallet pays per token.
Budget Control (Optional)
If the user specifies a budget (e.g., "use at most $1"), track spending and stop when budget is reached:
from blockrun_llm import setup_agent_wallet
client = setup_agent_wallet()
budget = 1.0# User's budget# Before each call, check if within budget
spending = client.get_spending()
if spending['total_usd'] >= budget:
print(f"Budget reached: ${spending['total_usd']:.4f} spent")
# Stop making callselse:
response = client.chat("openai/gpt-5.2", "Hello!")
# At the end, report spending
spending = client.get_spending()
print(f"💰 Total spent: ${spending['total_usd']:.4f} across {spending['calls']} calls")
When to Use
Mehr aus diesem Repository
Trigger
Your Action
User explicitly requests ("blockrun second opinion with GPT on...", "use grok to check...", "generate image with dall-e")
Execute via BlockRun
User needs something you can't do (images, live X data)
Suggest BlockRun, wait for confirmation
You can handle the task fine
Do it yourself, don't mention BlockRun
Example User Prompts
Users will say things like:
User Says
What You Do
"blockrun generate an image of a sunset"
Call DALL-E via ImageClient
"use grok to check what's trending on X"
Call Grok with search=True
"blockrun GPT review this code"
Call GPT-5.2 via LLMClient
"what's the latest news about AI agents?"
Suggest Grok (you lack real-time data)
"generate a logo for my startup"
Suggest DALL-E (you can't generate images)
"blockrun check my balance"
Show wallet balance via get_balance()
"blockrun deepseek summarize this file"
Call DeepSeek for cost savings
Wallet & Balance
Use setup_agent_wallet() to auto-create a wallet and get a client. This shows the QR code and welcome message on first use.
Initialize client (always start with this):
from blockrun_llm import setup_agent_wallet
client = setup_agent_wallet() # Auto-creates wallet, shows QR if new
Check balance (when user asks "show balance", "check wallet", etc.):
from blockrun_llm import generate_wallet_qr_ascii, get_wallet_address
# ASCII QR for terminal displayprint(generate_wallet_qr_ascii(get_wallet_address()))
SDK Usage
Prerequisite: Install the SDK with pip install blockrun-llm
Basic Chat
from blockrun_llm import setup_agent_wallet
client = setup_agent_wallet() # Auto-creates wallet if needed
response = client.chat("openai/gpt-5.2", "What is 2+2?")
print(response)
# Check spending
spending = client.get_spending()
print(f"Spent ${spending['total_usd']:.4f}")
Real-time X/Twitter Search (xAI Live Search)
IMPORTANT: For real-time X/Twitter data, you MUST enable Live Search with search=True or search_parameters.
from blockrun_llm import setup_agent_wallet
client = setup_agent_wallet()
# Simple: Enable live search with search=True
response = client.chat(
"xai/grok-3",
"What are the latest posts from @blockrunai on X?",
search=True# Enables real-time X/Twitter search
)
print(response)