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Openserv Launch

OrganizationPopular
internet-court
openserv-launch

Launch tokens on Base blockchain via the OpenServ Launch API. Creates ERC-20 tokens with Aerodrome concentrated liquidity pools. Use when launching tokens, deploying memecoins, or building agents that create tokens with locked LP. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents. You can launch tokens for your OpenServ agents.

Overview

Publisherinternet-court
Repositoryinternet-court-skill
Skill nameopenserv-launch
Stars
6.7K
Forks
114
Bundled files
6
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by internet-court on GitHub. Read the source before you install it.

Installation

Install the Openserv Launch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-launch
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/openserv/openserv-launch .claude/skills/openserv-launch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openserv Launch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openserv Launch on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openserv Launch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenServ Launch API

Launch tokens instantly on Base blockchain with one-sided concentrated liquidity pools on Aerodrome Slipstream.

Reference files:

  • reference.md - Full API reference for all endpoints
  • troubleshooting.md - Common issues and solutions
  • examples/ - Complete code examples

Base URL: https://instant-launch.openserv.ai


What This API Does

  • Deploys ERC-20 tokens - 1 billion supply, standard token contract
  • Creates Aerodrome CL pools - One-sided liquidity with 2,000,000x price range
  • Locks LP for 1 year - Automatic rug-pull protection
  • Splits fees 50/50 - Creator wallet receives 50% of all trading fees

Quick Start

Dependencies

bash
npm install axios

Launch a Token

typescript
import axios from 'axios'

const response = await axios.post('https://instant-launch.openserv.ai/api/launch', {
  name: 'My Token',
  symbol: 'MTK',
  wallet: '0x1234567890abcdef1234567890abcdef12345678',
  description: 'A cool memecoin',
  imageUrl: 'https://example.com/logo.png',
  website: 'https://mytoken.com',
  twitter: '@mytoken'
})

console.log(response.data)
// {
//   success: true,
//   token: { address: '0x...', name: 'My Token', symbol: 'MTK', supply: '1000000000' },
//   pool: { address: '0x...', tickSpacing: 500, fee: '2%' },
//   locker: { address: '0x...', lpTokenId: '12345', lockedUntil: '2027-02-03T...' },
//   txHashes: { tokenDeploy: '0x...', lpMint: '0x...', lock: '0x...', buy: '0x...' },
//   links: { explorer: '...', aerodrome: '...', dexscreener: '...' }
// }

Endpoints Overview

EndpointMethodDescription
/api/launchPOSTCreate a new token with LP pool
/api/tokensGETList launched tokens
/api/tokens/:addressGETGet token details by address

Launch Request Fields

FieldTypeRequiredDescription
namestringYesToken name (1-64 characters)
symbolstringYesToken symbol (1-10 chars, uppercase, alphanumeric)
walletstringYesCreator wallet address (receives 50% of fees)
descriptionstringNoToken description (max 500 characters)
imageUrlstringNoDirect link to image file (jpg, png, gif, webp, svg)
websitestringNoWebsite URL (must start with http/https)
twitterstringNoTwitter handle (with or without @)

Launch Response

typescript
interface LaunchResponse {
  success: true
  internalId: string           // Database record ID
  creator: string              // Creator wallet address
  token: {
    address: string            // Deployed token contract
    name: string
    symbol: string
    supply: string             // Always "1000000000"
  }
  pool: {
    address: string            // Aerodrome CL pool
    tickSpacing: number        // 500
    fee: string                // "2%"
  }
  locker: {
    address: string            // LP locker contract
    lpTokenId: string          // NFT position ID
    lockedUntil: string        // ISO date (1 year from launch)
  }
  txHashes: {
    tokenDeploy: string        // Token deployment tx
    stakingTransfer: string    // 5% staking allocation tx
    lpMint: string             // LP position mint tx
    lock: string               // LP lock tx
    buy: string                // Initial buy tx
  }
  links: {
    explorer: string           // Basescan token page
    aerodrome: string          // Aerodrome swap page
    dexscreener: string        // DEXScreener chart
    defillama: string          // DefiLlama swap
  }
}

Token Defaults

SettingValue
Token Supply1 billion
Initial Market Cap$15,000
Price Range2,000,000x (~$30B)
Pool Fee2%
Tick Spacing500
Fee Split50/50 (creator/platform)
Lock Duration1 year
Staking Allocation5%
Initial Buy0.0005 ETH

Example: Agent with Token Launch Capability

typescript
import { Agent, run } from '@openserv-labs/sdk'
import { provision, triggers } from '@openserv-labs/client'
import { z } from 'zod'
import axios from 'axios'

const agent = new Agent({
  systemPrompt: 'You help users launch tokens on Base blockchain.'
})

agent.addCapability({
  name: 'launch_token',
  description: 'Launch a new ERC-20 token with LP pool on Aerodrome',
  schema: z.object({
    name: z.string().describe('Token name (1-64 chars)'),
    symbol: z.string().describe('Token symbol (1-10 chars, uppercase)'),
    wallet: z.string().describe('Creator wallet address'),
    description: z.string().optional().describe('Token description'),
    imageUrl: z.string().optional().describe('Logo image URL'),
    website: z.string().optional().describe('Website URL'),
    twitter: z.string().optional().describe('Twitter handle')
  }),
  async run({ args }) {
    const response = await axios.post('https://instant-launch.openserv.ai/api/launch', args)
    const { token, pool, links } = response.data
    return `Token launched! Address: ${token.address}, Pool: ${pool.address}, Trade: ${links.aerodrome}`
  }
})

async function main() {
  await provision({
    agent: {
      instance: agent,
      name: 'token-launcher',
      description: 'Launch tokens on Base with Aerodrome LP'
    },
    workflow: {
      name: 'Token Launcher',
      goal: 'Launch ERC-20 tokens on Base blockchain with Aerodrome concentrated liquidity pools',
      trigger: triggers.webhook({ waitForCompletion: true, timeout: 600 })
    }
  })
  await run(agent)
}

main().catch(console.error)

Rate Limits

  • 1 token per wallet per 24 hours (spam prevention)
  • Creator wallet must have on-chain activity (not empty)

Network

All tokens are deployed on Base Mainnet (chainId: 8453).


Updating This Skill

This skill may be outdated. The OpenServ team ships updates regularly—new features, API changes, and bug fixes won't be reflected here until you update. If something isn't working as expected, or you want to make sure you have the latest information, update the skill before proceeding.

bash
# Check if updates are available
npx skills check

# Update all installed skills to latest versions
npx skills update

Or reinstall the OpenServ skills directly:

bash
npx skills add openserv-labs/skills

Related Skills

  • openserv-agent-sdk - Build agents with token launch capabilities
  • openserv-client - Provision and deploy agents on the platform
  • openserv-multi-agent-workflows - Multi-agent collaboration patterns
  • openserv-ideaboard-api - Find ideas and ship token-related services

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Openserv Launch AI skill do?

Launch tokens on Base blockchain via the OpenServ Launch API. Creates ERC-20 tokens with Aerodrome concentrated liquidity pools. Use when launching tokens, deploying memecoins, or building agents that create tokens with locked LP. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents. You can launch tokens for your OpenServ agents.

Why use Openserv Launch on TypingMind?

Because you install it once and use it with any model. Openserv Launch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openserv Launch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/internet-court/internet-court-skill/tree/main/vendored/openserv/openserv-launch. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Openserv Launch?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openserv Launch?

As many as you like. As long as a model supports skills, you can use Openserv Launch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openserv Launch AI skill free?

It is published on GitHub by internet-court. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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