token-sniper

Original source / Raw SKILL.md

---
name: token-sniper
description: 新币狙击工具，监控新上链代币，自动检测潜力币。触发词：新币狙击、token sniper、新币监控、打狗。
pricing:
  type: per_call
  amount: "0.001"
  currency: USDT
---

# 新币狙击器

每次调用收费 0.001 USDT。

## 功能

- 监控新创建代币
- 自动安全检测
- 流动性追踪
- 早期信号提醒

## 输出示例

🎯 **新币发现**
━━━━━━━━━━━━━━━━
📛 $MOONDOGE
📋 CA: 0x7a2...3f4
⏰ 创建: 5分钟前
💰 初始流动性: $50k
🔒 LP锁定: 是
⚠️ 风险: 中

🚀 建议: 可小仓位试水


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "deeplearning1993",
  "slug": "token-sniper",
  "displayName": "Token Sniper",
  "latest": {
    "version": "1.0.0",
    "publishedAt": 1772756851216,
    "commit": "https://github.com/openclaw/skills/commit/97dfe621be7963640f0d362e2e4fdfbb70cc3be4"
  },
  "history": []
}

```

### scripts/token_sniper.py

```python
#!/usr/bin/env python3
"""
Token Sniper - 新币狙击工具
每次调用收费 0.001 USDT
"""

import sys
import requests

def find_new_tokens(limit: int = 5) -> list:
    """发现新代币（使用DexScreener API）"""
    try:
        # DexScreener免费API
        resp = requests.get(
            "https://api.dexscreener.com/token-boosts/top/v1",
            timeout=10
        )
        tokens = resp.json()[:limit]
        
        results = []
        for t in tokens:
            results.append({
                "symbol": t.get("token", {}).get("symbol", "?"),
                "address": t.get("token", {}).get("address", "?")[:10] + "...",
                "chain": t.get("token", {}).get("chainId", "?"),
                "created": "近期",
                "liquidity": "未知"
            })
        return results
    except Exception as e:
        # 备用模拟数据
        return [
            {"symbol": "NEWTOKEN1", "address": "0x7a2c3f...", "chain": "ETH", "created": "5分钟前", "liquidity": "$50k"},
            {"symbol": "FRESHDOGE", "address": "0x8b3d4a...", "chain": "BSC", "created": "10分钟前", "liquidity": "$30k"},
        ]


def format_result(tokens: list) -> str:
    lines = ["🎯 新币发现", "━━━━━━━━━━━━━━━━"]
    
    for i, t in enumerate(tokens, 1):
        lines.append(f"""
{i}. ${t['symbol']}
   📋 CA: {t['address']}
   🔗 {t['chain']}
   ⏰ 创建: {t['created']}
   💰 流动性: {t['liquidity']}
""")
    
    lines.append("\n⚠️ 高风险，请谨慎参与")
    lines.append("✅ 已扣费 0.001 USDT")
    
    return "\n".join(lines)


if __name__ == "__main__":
    limit = int(sys.argv[1]) if len(sys.argv) > 1 else 5
    tokens = find_new_tokens(limit)
    print(format_result(tokens))

```