Agent skill · Data & Analytics

blockrun

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")

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill antigravity-blockrun --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Allowed tools: ReadBash(python:*)Bash(python3:*)Bash(pip:*)Bash(source:*)
Path: skills/ai-llm/antigravity-blockrun/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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: ```python 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 = clie

What's inside
Steps it walks through
  1. Philosophy
  2. Budget Control (Optional)
  3. When to Use
  4. Example User Prompts
  5. Wallet & Balance
  6. SDK Usage
  7. Basic Chat
  8. Real-time X/Twitter Search (xAI Live Search)
  9. Advanced X Search with Filters
  10. Image Generation
  11. xAI Live Search Reference
  12. Search Parameters
  13. Source Types
  14. Available Models
Ships with 1 file
  • metadata.json
Commands it runs
pip install --upgrade blockrun-llm
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About this skill
What does the blockrun skill do?

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")

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill antigravity-blockrun --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going