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Blockrun Skill for Claude

Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")

2k tokens
context cost
the whole folder, loaded on every use
7
files
instructions only
0
copies elsewhere
how many repositories repackaged it
505
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill blockrun

What comes with it

5 348 bytes besides the instruction
sub-skills/advanced-x-search-with-filters.md
sub-skills/basic-chat.md
sub-skills/image-generation.md
sub-skills/real-time-xtwitter-search-xai-live-search.md
sub-skills/search-parameters.md
sub-skills/source-types.md

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

14 sections, as written by the author

BlockRun

BlockRun works with Claude Code and 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 calls
else:
    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

| 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.):

balance = client.get_balance()  # On-chain USDC balance
print(f"Balance: ${balance:.2f} USDC")
print(f"Wallet: {client.get_wallet_address()}")

Show QR code for funding:

from blockrun_llm import generate_wallet_qr_ascii, get_wallet_address

# ASCII QR for terminal display
print(generate_wallet_qr_ascii(get_wallet_address()))

SDK Usage

Prerequisite: Install the SDK with pip install blockrun-llm

🧠 Knowledge Modules (Fractal Skills)

1. Basic Chat

2. Real-time X/Twitter Search (xAI Live Search)

3. Advanced X Search with Filters

4. Image Generation

5. Search Parameters

6. Source Types

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How to use it

Copy the folder

Take dokhacgiakhoa/blockrun from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.