Gmgn Trading

Community

mogons

gmgn-trading

GMGN AI OpenAPI integration for Robinhood Chain smart money tracking, sniper ratio audit, and meme coin entry screening.

Overview

Publisher	mogons
Repository	`noraz-agent`
Skill name	`gmgn-trading`
Stars	169
Forks	167
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by mogons on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/mogons/noraz-agent/tree/master/.agents/skills/gmgn-trading
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.

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/mogons/noraz-agent.git /tmp/noraz-agent
mkdir -p .claude/skills
cp -r /tmp/noraz-agent/.agents/skills/gmgn-trading .claude/skills/gmgn-trading

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gmgn Trading 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 Gmgn Trading 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 Gmgn Trading 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.

GMGN AI Screening & Smart Money Trading Skill

This skill defines the screening criteria and smart money tracking standards powered by GMGN AI (https://gmgn.ai) for the Robinhood Chain (EVM, chain ID 4663). The GMGN OpenAPI adapter (src/adapters/gmgn-adapter.ts) is the single source of truth for all GMGN requests.

1. GMGN Smart Money & Sniper Audit Criteria

Before generating any high-confidence meme call or executing an entry:

A. Smart Money & Whale Tracking

Smart Money Inflow: Verify at least 2+ verified GMGN Smart Trader wallets have bought the same token (agent default: minTrackWallets=2, total buy minTrackBuyUsd=$10k, fresh within trackFreshMinutes=30).
Accumulation Cluster: 3+ smart-money/KOL wallets buying the same token in the fresh window adds a confidence boost (+20) to qualifying signals.

B. Insider & Sniper Risk Control (fail-open per field — null = not reported, skipped)

Insider (rat trader) Ratio: Total supply held by insider wallets MUST be < 30% (agent default maxRatTraderRate=0.3).
Dev Holding Ratio: Dev wallet holding MUST be <= 10% (or burned/renounced) — dev_team_hold_rate / creator_close.
Top-10 Holders: MUST be < 40% (agent default maxTop10HolderRate=0.4).
Rug Ratio: MUST be < 30% (agent default maxRugRatio=0.3).
Wash Trading Check: Reject tokens flagged is_wash_trading.
Bundler: NOT gated (alpha tokens often have high bundler — bundler filter removed 2026-08-09).

2. Robinhood Chain Screening Support (GMGN API)

Chain parameter: chain=robinhood on every endpoint.
Separate key: GMGN_API_KEY_ROBINHOOD for the robinhood agent (per-key rate limits); falls back to GMGN_API_KEY. Backups auto-rotate via GMGN_BACKUP_KEYS on 401/403/429.
Dedicated screening agent: src/agents/meme-robinhood/robinhood-screening-agent.ts — 3 candidate sources (all graduated DEX tokens, 1H timeframe):
1. /v1/market/rank (interval 1h, filters: not_honeypot, verified, renounced, is_out_market)
2. /v1/trenches (completed only, max_rug_ratio/max_insider_ratio filters)
3. /v1/market/hot_searches (migrated, not_honeypot, verified, renounced)

3. GMGN OpenAPI Reference (as implemented in `gmgn-adapter.ts`)

Base URL: https://openapi.gmgn.ai
Auth: X-APIKEY header (pool of stackable keys + GMGN_BACKUP_KEYS rotation on 401/403/429).
Signing: every request appends timestamp (unix seconds) and client_id (UUID) query params.
429 Retry Policy: read X-RateLimit-Reset (or error body reset_at), wait until reset + 1s buffer, retry AT MOST once; long bans (>30s) or RATE_LIMIT_BANNED are skipped — the next pass (~5m later) retries. Global pacing queue (GMGN_REQUEST_SPACING_MS, default 300ms) protects the leaky bucket (rate=20/capacity=20 per key).
Endpoints:
- /v1/market/rank — trending tokens per interval (GET).
- /v1/trenches — newly launched tokens per category (POST, version v2).
- /v1/market/hot_searches — most-searched tokens (POST).
- /v1/market/token_signal — signal events (price spikes, smart money buys, CTO, KOL buys) — used as a confidence booster overlay, NOT a candidate source (GMGN never fills volume/swaps for robinhood events).
- /v1/token/info — per-token detail (GET).
- /v1/token/security — per-token security audit (honeypot, blacklist, renounced, sell-lock, tax, burn, lock) — fail-closed: unavailable audit = reject (10-min module cache).
- /v1/user/smartmoney — real-time smart-money wallet trade feed (60s cache).
- /v1/user/kol — real-time KOL wallet trade feed (60s cache).

4. Signal Card Embed Format & Quick Links

Provide direct GMGN chart links in call cards: https://gmgn.ai/robinhood/token/{contract_address}
Include GMGN Smart Money net buy volume, sniper/insider ratios, and security audit status in the card fields.

Frequently asked questions

What does the Gmgn Trading AI skill do?

GMGN AI OpenAPI integration for Robinhood Chain smart money tracking, sniper ratio audit, and meme coin entry screening.

Why use Gmgn Trading on TypingMind?

Because you install it once and use it with any model. Gmgn Trading 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 Gmgn Trading in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mogons/noraz-agent/tree/master/.agents/skills/gmgn-trading. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gmgn Trading?

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 Gmgn Trading?

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

Is the Gmgn Trading AI skill free?

Yes. It is published on GitHub by mogons under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GMGN AI Screening & Smart Money Trading Skill

1. GMGN Smart Money & Sniper Audit Criteria

A. Smart Money & Whale Tracking

B. Insider & Sniper Risk Control (fail-open per field — null = not reported, skipped)

2. Robinhood Chain Screening Support (GMGN API)

3. GMGN OpenAPI Reference (as implemented in gmgn-adapter.ts)

4. Signal Card Embed Format & Quick Links

Frequently asked questions

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3. GMGN OpenAPI Reference (as implemented in `gmgn-adapter.ts`)