memecoin-scanner
Autonomous memecoin discovery and paper trading system using gmgn.ai, dexscreener.com, and other scanners. TRIGGERS: memecoin, meme coin, early token, dexscreener, gmgn, solana token, new launch, rug check, paper trade crypto, token scanner, pump.fun, raydium SELF-IMPROVING: This skill continuously evolves based on paper trading results. Update this document with new strategies.
Why use this skill?
Discover, analyze, and paper trade Solana memecoins autonomously. Features advanced scanner integration, real-time Telegram updates, and self-improving trade logic.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/rimelucci/reef-memecoin-scannerWhat This Skill Does
The memecoin-scanner is an autonomous agentic skill designed for the high-frequency and volatile Solana memecoin ecosystem. It acts as an elite digital analyst that continuously scrapes data from industry-standard platforms like GMGN.ai, DexScreener, pump.fun, and Birdeye. By evaluating liquidity, smart money inflow, and contract safety against a rigorous 70-point scoring system, it filters through thousands of tokens to identify high-probability trading opportunities.
Beyond discovery, the skill functions as a self-improving paper trading engine. It maintains a dedicated, persistent ledger of all simulated trades, cross-referencing outcomes against a evolving strategy database. This enables the agent to learn from market cycles, adjusting its risk tolerance and entry criteria autonomously to improve future accuracy. It also maintains a proactive communication loop with the user, Rick, ensuring that the human lead is always informed of potential moonshots, active portfolio performance, and daily P&L summaries via Telegram.
Installation
To integrate the memecoin-scanner into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/rimelucci/reef-memecoin-scanner
Ensure your configuration file has the necessary API access keys for the mentioned data aggregators, and verify that your file system permissions allow for writing to references/trading_journal.md and references/strategy_evolution.md.
Use Cases
- Autonomous Scouting: Leave the agent running to watch for new launches while you are offline, capturing potential early entries.
- Risk Mitigation: Use the automated rug-check integrations to avoid honeypots and malicious contracts before even considering a trade.
- Performance Backtesting: Utilize the paper trading system to test new alpha sources without risking capital, refining strategies until they yield consistent gains.
- Reporting: Keep your investment portfolio transparent with automated, structured, and summarized Telegram updates formatted for quick reading.
Example Prompts
- "Analyze the current Solana market and scan for 3 new tokens on pump.fun with at least $15k liquidity and high smart money inflow."
- "Review the trading journal from the last 48 hours and identify which of our winning entries had the strongest social signal correlation."
- "Summarize the current active paper portfolio and update me on our progress against the $10,000 starting balance."
Tips & Limitations
- Stay Updated: Always ensure
references/strategy_evolution.mdis updated. If the agent notices a trend (e.g., volume spikes are currently less reliable than holder distribution), it will reflect this in its performance metrics. - Human Oversight: While autonomous, memecoin markets are extremely unpredictable. Regularly review the agent's logic in the logs.
- API Rates: Be mindful of external API rate limits; if scanning too frequently, consider increasing your subscription tiers on platforms like DexScreener or GMGN.ai.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-rimelucci-reef-memecoin-scanner": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api
Related Skills
agentmail
Email inbox for AI agents. Check messages, send emails, and communicate via your own @agentmail.to address.
paper-trader
Autonomous self-improving paper trading system for memecoins and prediction markets. Orchestrates multiple strategies with unified risk management, portfolio allocation, and continuous learning. TRIGGERS: paper trade, paper trading, trading bot, autonomous trader, memecoin trading, polymarket trading, prediction markets, trading strategy, self-improving trader, clawdbot trading MASTER SKILL: This is the top-level orchestrator. Individual strategies live in strategies/ folder.
polymarket-arbitrage
Autonomous Polymarket arbitrage discovery and paper trading system. Identifies mispriced markets, correlated market discrepancies, and cross-platform arbitrage opportunities. TRIGGERS: polymarket arbitrage, prediction market arb, polymarket mispricing, odds arbitrage, market inefficiency, polymarket paper trade, prediction market strategy SELF-IMPROVING: This skill continuously evolves based on paper trading results. Update this document with new arbitrage patterns discovered.
polymarket-research
Autonomous Polymarket research and directional trading system focused on maximizing PnL through information edge and probability assessment. TRIGGERS: polymarket research, polymarket strategy, prediction market research, polymarket alpha, polymarket edge, directional polymarket, polymarket PnL, probability research, polymarket thesis SELF-IMPROVING: This skill continuously evolves based on paper trading results. Update this document with research methods that work.
agentmail
Email inbox for AI agents. Check messages, send emails, and communicate via your own @agentmail.to address.