agentsclimarketplace

0g compute skills internet court internet court vendored 0g 0g compute

Skill bg-szy/TOP-SKILLS/skills/marketplace/0g-compute__skills-internet-court-internet-court-vendored-0g-0g-compute

全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能,提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard

Install
npx -y skills add bg-szy/TOP-SKILLS --skill 0g-compute__skills-internet-court-internet-court-vendored-0g-0g-compute

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

0G Compute Network guide for decentralized AI inference, fine-tuning, and GPU services. Covers chatbots, image generation, speech-to-text, SDK integration (0g-serving-broker), processResponse API, broker.inference methods, CLI commands (0g-compute-cli), and account management. Use this skill for any 0G compute, 0G AI, or decentralized GPU question.

SKILL.md

7.3 KB, as published. Nobody here has run it

0G Compute Network

This skill provides instructions for building with the 0G Compute Network — a decentralized GPU marketplace for AI inference and model fine-tuning. Follow these patterns exactly when generating code.

Code Generation Rules

  1. Copy code patterns from this skill verbatim. Do NOT generate from training data.
  2. Call processResponse() after every API response (see processResponse section below).
  3. Use environment variables for private keys. Never hardcode secrets.
  4. Route users to testnet for initial development.

When unsure about a pattern, reference the detailed guides:

Network Information

NetworkRPC URLInferenceFine-tuning
Mainnethttps://evmrpc.0g.aiYesYes
Testnethttps://evmrpc-testnet.0g.aiYesYes

Model availability changes frequently. Always use broker.inference.listService() or 0g-compute-cli inference list-providers to check current models. On-chain model names use org/model-name format.

Prerequisites

node --version  # Must be >= 22.0.0
pnpm add @0glabs/0g-serving-broker        # SDK for applications
pnpm add @0glabs/0g-serving-broker -g     # CLI for direct usage

Quick Setup

0g-compute-cli setup-network              # Choose testnet or mainnet
0g-compute-cli login                       # Login with wallet private key
0g-compute-cli deposit --amount 10         # Deposit funds
0g-compute-cli get-account                 # Check balance

Inference (SDK)

import { ethers } from "ethers";
import { createZGComputeNetworkBroker } from "@0glabs/0g-serving-broker";

const RPC_URL = process.env.NODE_ENV === 'production'
  ? "https://evmrpc.0g.ai"
  : "https://evmrpc-testnet.0g.ai";

const provider = new ethers.JsonRpcProvider(RPC_URL);
const wallet = new ethers.Wallet(process.env.PRIVATE_KEY!, provider);
const broker = await createZGComputeNetworkBroker(wallet);

// Discover services
const services = await broker.inference.listService();
services.forEach(s => {
  console.log(`${s.provider} | ${s.model} | ${s.serviceType}`);
});

// Make inference request
const { endpoint, model } = await broker.inference.getServiceMetadata(providerAddress);
const headers = await broker.inference.getRequestHeaders(providerAddress);

const response = await fetch(`${endpoint}/chat/completions`, {
  method: "POST",
  headers: { "Content-Type": "application/json", ...headers },
  body: JSON.stringify({ messages, model })
});

const data = await response.json();

// Extract chatID (see chatID table below)
let chatID = response.headers.get("ZG-Res-Key") || response.headers.get("zg-res-key");
if (!chatID) chatID = data.id;

// CRITICAL: Always call processResponse
await broker.inference.processResponse(
  providerAddress,              // 1st: provider address
  chatID,                       // 2nd: response identifier for verification
  JSON.stringify(data.usage)    // 3rd: usage data for fee calculation
);

For streaming, browser SDK, cURL, and Python examples, see references/inference.md.

processResponse (CRITICAL)

Call broker.inference.processResponse() after EVERY API response for fee settlement and TEE verification.

await broker.inference.processResponse(
  providerAddress,              // 1st: provider address
  chatID,                       // 2nd: response identifier for verification
  JSON.stringify(data.usage)    // 3rd: usage data for fee calculation
);

Parameter order: provider, chatID, usageData. Do NOT reorder.

chatID Retrieval by Service Type

Always try ZG-Res-Key response header first. Use fallback only when header is absent.

Service TypechatID SourceFallback
ChatbotZG-Res-Key headerdata.id from response body
Text-to-ImageZG-Res-Key headernone
Speech-to-TextZG-Res-Key headernone
Chatbot StreamingZG-Res-Key headerid from stream chunk
Audio StreamingZG-Res-Key headernone

Fine-tuning

Fine-tuning is available on both mainnet and testnet. It is a 6-step CLI process: list providers, upload dataset, calculate tokens, create task, monitor, download and decrypt.

For the complete workflow, see references/fine-tuning.md.

Account Management

The 0G Compute Network uses Main Accounts (deposits/withdrawals) and Provider Sub-Accounts (service payments). Sub-account refunds have a 24-hour lock period.

0g-compute-cli get-account                                    # Check balance
0g-compute-cli deposit --amount 10                             # Deposit to main
0g-compute-cli transfer-fund --provider <ADDR> --amount 5      # Transfer to sub-account
0g-compute-cli retrieve-fund                                   # Retrieve from sub (24h lock)
0g-compute-cli refund --amount 5                               # Withdraw to wallet

For detailed account management, see references/account-management.md.

CLI Quick Reference

# Inference
0g-compute-cli inference list-providers                        # List all providers
0g-compute-cli inference verify --provider <ADDR>              # Verify TEE attestation
0g-compute-cli inference acknowledge-provider --provider <ADDR> # Required before first use
0g-compute-cli inference get-secret --provider <ADDR>          # Get API key for direct calls
0g-compute-cli inference serve --provider <ADDR> --port 3000   # Local OpenAI-compatible proxy

# Fine-tuning
0g-compute-cli fine-tuning list-providers                      # List fine-tuning providers
0g-compute-cli fine-tuning list-models                         # List available models

# Web UI
0g-compute-cli ui start-web                                    # Launch at localhost:3090

Troubleshooting

ProblemSolution
Insufficient balancedeposit --amount 5 then transfer-fund --provider <ADDR> --amount 2
Provider not acknowledgedinference acknowledge-provider --provider <ADDR>
Provider busy (fine-tuning)Wait and retry, or choose a different provider
Web UI port conflictui start-web --port 3091

Resources

Note: A unified skill covering all 0G services (Compute, Storage, Chain) exists at 0g-agent-skills.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.