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Meme Token Analyzer

v2.0.0

Meme 代币财富基因检测系统。输入任意代币名称(如 PEPE、DOGE、$SHIB),基于实时 Web 情绪数据输出四维分析报告与 🌟钻石手/🌙登月/🗑️纸手/💩屎币 评级。支持主流币自动识别(BTC/ETH/SOL),无数据时不幻觉。触发词:meme 分析、代币评级、财富基因、PEPE分析、meme...

1· 129·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for deanpeng-dotcom/meme-token-analyzer.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Meme Token Analyzer" (deanpeng-dotcom/meme-token-analyzer) from ClawHub.
Skill page: https://clawhub.ai/deanpeng-dotcom/meme-token-analyzer
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install meme-token-analyzer

ClawHub CLI

Package manager switcher

npx clawhub@latest install meme-token-analyzer
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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Suspicious
medium confidence
Purpose & Capability
The capability described (real-time web search + LLM analysis for token sentiment/rating) is coherent with the skill's name and description. It legitimately needs web search and LLM access. However, the SKILL.md references an Antalpha MCP server, llm-proxy, and Tavily API as backends yet the skill declares no required credentials or primary credential — creating a gap between claimed infrastructure and declared requirements.
!
Instruction Scope
The runtime instructions tell the agent to (a) run an external registration step via an 'antalpha-register' tool to obtain an agent_id and (b) call an MCP tool 'meme-analyze' that will use llm-proxy and Tavily search. Those instructions route user queries and any provided context to external services. The SKILL.md does not document what data is sent to these services, whether agent_id is sensitive, or how API keys / billing/telemetry are handled. This gives the skill broad discretion to transmit user input externally without declared safeguards.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. That minimizes local disk writes and arbitrary-code install risk. However, being instruction-only increases runtime reliance on external tools/services referenced in the doc (antalpha-register, Meme MCP endpoints).
!
Credentials
The skill declares no required environment variables or credentials, yet runtime operation clearly depends on service access (MCP server, llm-proxy, Tavily). It requires performing an 'antalpha-register' flow to obtain an agent_id (a credential-like value) but does not declare how it's stored or protected. The absence of declared credentials/API keys and lack of clarity about who controls the external endpoints is disproportionate to the simple analysis task.
Persistence & Privilege
The skill does not request always: true and does not declare persistent system modifications. It appears to operate by calling remote services at runtime; that is normal for an API-backed skill. There is no instruction to modify other skills or system-wide settings.
What to consider before installing
This skill relies on external services (Antalpha MCP, llm-proxy, Tavily) and asks you to register an agent but doesn't declare what credentials or keys are needed or how data is handled. Before installing or invoking it: 1) Verify the maintainer and source repo (the SKILL.md references a GitHub repo but 'Source' is unknown); inspect that repo for real code and license. 2) Ask the maintainer: what data is sent to llm-proxy/Tavily and where are those services hosted? Who controls them and how is telemetry logged? 3) Confirm how agent_id is issued, stored, and revoked; never provide private keys or secrets. 4) Prefer running initial tests with non-sensitive queries to observe where traffic goes, and request documented privacy/billing behavior. If you cannot confirm these points, treat the skill as untrusted for sensitive data.

Like a lobster shell, security has layers — review code before you run it.

latestvk97a7tk50kt27tkpz5j8sy9hm185kc93
129downloads
1stars
3versions
Updated 2d ago
v2.0.0
MIT-0

Meme Token Analyzer 🚀

Meme 代币财富基因检测系统 V2 基于 Antalpha MCP Server,接入 llm-proxy 统一管控,全面替代 Coze 方案


使用前提

需先完成 Agent 注册(获取 agent_id):

调用 antalpha-register 工具完成注册,保存 agent_id

核心能力

  • 🔍 实时 Web 搜索:Tavily API,过滤最近 30 天数据,带 AI 摘要
  • 🤖 LLM 多维分析:四维分析框架,via llm-proxy 统一计量计费
  • 💎 财富基因评级:四档精准评级,Degen 风格毒舌点评
  • 🧠 主流币识别:自动检测 BTC/ETH/SOL 等并切换分析视角
  • 🚫 无幻觉设计:无数据时明确说明,不编造价格或社区数据

触发场景

用户说自动执行
"帮我分析一下 PEPE"meme-analyze
"DOGE 的财富基因是什么"meme-analyze
"$SHIB 值得买吗"meme-analyze
"这个 meme 币怎么样:BONK"meme-analyze
"BTC 算 meme 吗"meme-analyze(自动切换价值币视角)

MCP Tool 说明

meme-analyze

输入参数:

参数类型说明
token_namestring代币名称或符号,如 PEPE、$SHIB、Bitcoin
agent_idstring (UUID)从 antalpha-register 获取的 Agent ID

输出结构:

{
  "token": "PEPE",
  "is_major_coin": false,
  "major_coin_warning": null,
  "rating": "moonshot",
  "rating_emoji": "🌙",
  "rating_label": "登月",
  "report": {
    "narrative_magic": "叙事魔力分析...",
    "community_hype": "社区炒作能力...",
    "risk_warning": "风险提示..."
  },
  "search_summary": "Tavily AI 摘要...",
  "data_freshness": "ok",
  "sources": ["https://...", "https://..."],
  "disclaimer": "本报告仅供娱乐和教育目的,不构成投资建议。"
}

评级标准:

评级值Emoji中文含义
diamond_hand🌟钻石手顶级叙事 + 强社区 + VC 背书,万倍潜力
moonshot🌙登月有效叙事 + 活跃社区,百倍合理预期
paper_hand🗑️纸手叙事薄弱,高风险
shitcoin💩屎币无叙事无社区,立即远离

输出示例

🌙 PEPE — 登月

🎯 叙事魔力:PEPE 是互联网最具代表性的 Meme 形象,文化底蕴深厚,叙事自带传播力。
📢 社区炒作:Twitter/X 活跃度极高,持仓地址数量庞大,Degen 文化认同感强。
⚠️ 风险提示:高度投机,价格波动极大,注意仓位控制。

📊 数据新鲜度:✅ 充足

💡 本报告仅供娱乐和教育目的,不构成投资建议。DYOR。

注意事项

  • 分析结果仅供娱乐和教育参考,不构成任何投资建议
  • 主流币(BTC/ETH/SOL 等)会自动切换为价值币分析视角
  • 冷门代币可能因 Web 数据不足而返回 data_freshness: "no_data"

技术架构

  • 后端:NestJS + Antalpha MCP Server
  • LLM:via llm-proxy(统一计量,fast-cheap tier)
  • 搜索:Tavily API(30天时间过滤,带 AI 摘要)
  • 版本:v2.0.0(完全替代 Coze LangGraph 方案)

Maintainer: AntalphaAI | License: MIT

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