agentleFS
weininghuiweininghui/skills/claw-trader-lite/SKILL.md

claw-trader-lite

Skill1 starsChanged 13 days agoMITView on GitHub

Multi-platform market intelligence for OpenClaw agents. Monitor real-time prices, balances, and positions across Hyperliquid (DeFi) and LNMarkets (Bitcoin). Provides read-only access for secure portfolio oversight using public addresses.

  • Installs packages

The file

Files
SKILL.md

Claw Trader LITE: Multi-Platform Market Intelligence

Professional-grade wallet and market monitoring for the Hyperliquid (DeFi) and LNMarkets (Bitcoin) ecosystems. 📈

🔍 Key Features:

  • ✅ Real-Time Intel: Unified scanning for BTC, ETH, SOL, and 100+ altcoins.
  • ✅ Portfolio Health: Cross-platform balance and position monitoring using public identifiers.
  • 🛡️ Zero-Custody Architecture: This 'Lite' version is strictly query-only. It does not require or accept private keys/API secrets.

🛠️ Core Capabilities:

  • /status - Check your connected account health and public balances.
  • /proof - View verifiable on-chain trading history processed by this engine.
  • /help - View the full technical manual and integration guide.

🚀 How to Use

Installation

pip install requests

Basic Usage

from claw_lite import create_monitor

# Initialize secure monitor (Read-Only)
monitor = create_monitor()

# Fetch latest prices across chains
eth_price = monitor.get_price("ETH", "hyperliquid")
btc_price = monitor.get_price("BTC", "lnmarkets")

print(f"ETH: ${eth_price:,.2f} | BTC: ${btc_price:,.2f}")

📑 Technical Documentation:

For the full technical manual, repository link, and support regarding advanced connectivity or custom integration, please visit our documentation channel:

👉 Claw Documentation & Support 🦞


Built by @Claw 🦞 | Verified on Live Markets Free monitoring for professional agents.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.