nirholas/pump-fun-sdk · Archived

pump-ai-agents

AI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management rules for GitHub Copilot, Claude, and Gemini.

First seen Jun 21, 2026

Installation

$ npx skills add nirholas/pump-fun-sdk --skill pump-ai-agents

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Also in this package

Other skills from nirholas/pump-fun-sdk.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Declared
Windsurf Not declared
Gemini CLI Declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 115
License LICENSE
Default branch main
Open issues 2
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code github-copilot gemini clawdbot
More metadata
openclaw
{"homepage":"https:\/\/github.com\/nirholas\/pump-fun-sdk"}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,340 B
  • docs SUMMARY.md 247 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

AI Agent Integration — Agent Scaffolding & Discovery

Configure AI agents (GitHub Copilot, Claude, Gemini) to work effectively with the Pump SDK through instruction files, skill registries, and MCP server integration.

Agent Instruction Files

File Agent Purpose
AGENTS.md Universal Project overview, architecture, security rules
CLAUDE.md Claude Code Key patterns, critical rules
COPILOT.md GitHub Copilot Instructions pointer
GEMINI.md Google Gemini Instructions pointer
.github/copilot-instructions.md Copilot Chat SDK patterns, security rules

.well-known Discovery Files

File Purpose
.well-known/ai-plugin.json AI plugin manifest
.well-known/agent.json Agent capabilities and config
.well-known/skills.json Skills registry (15+ skills)
.well-known/security.txt Security contact information

LLM Context Documents

File Size Purpose
llms.txt Short Quick reference for LLMs
llms-full.txt Long Comprehensive LLM context

Skills Registry Schema

{
    "schema_version": "v1",
    "name": "pump-fun-sdk",
    "skills": [
        {
            "id": "pump-sdk-core",
            "name": "Pump SDK Core",
            "description": "...",
            "path": ".github/skills/pump-sdk-core.skill.md",
            "tags": ["typescript", "solana", "sdk"]
        }
    ]
}

Terminal Management (Agent Rules)

  • Always use background terminals (isBackground: true) for every command
  • Always kill the terminal after completion — never leave terminals open
  • Do not reuse foreground shell sessions
  • If a terminal appears unresponsive, kill it and create a new one

Security Invariants for Agents

  • ONLY official Solana Labs crypto: solana-sdk, @solana/web3.js, solana-keygen
  • Zeroize all key material after use
  • File permissions 0600 for keypairs
  • No network calls for key generation
  • All amounts use BN (bn.js) — never JavaScript number for financial math
  • createInstruction (v1) is deprecated — use createV2Instruction

MCP Server Integration

{
    "mcpServers": {
        "solana-wallet": {
            "command": "npx",
            "args": ["-y", "pump-fun-mcp"],
            "transportType": "stdio"
        }
    }
}

Patterns to Follow

  • Keep agent instruction files concise and actionable
  • Point agents to specific skill files for domain knowledge
  • Update skills.json when adding or modifying skill files
  • Maintain consistency between AGENTS.md, CLAUDE.md, and COPILOT.md

Common Pitfalls

  • Agent instruction files that are too long get truncated or ignored
  • Missing skills from skills.json means agents won't discover them
  • Terminal management rules are critical in Codespaces — stale terminals block operations
  • MCP server must be registered in the agent's tool configuration