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Crypto Social Intel

作者 Jackxun520 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install crypto-social-intel
功能描述
Crypto social intelligence skill for AI agents. Activate when user mentions social trends, sentiment analysis, KOL signals, mention surge, Fear & Greed Index...
使用说明 (SKILL.md)

Crypto Social Intel

Social intelligence layer for crypto tokens. Powered by Santiment GraphQL API + alternative.me Fear & Greed Index.

5 Tools:

  • crypto-social-trending — Top tokens by social volume
  • crypto-sentiment-score — Sentiment score for a specific token
  • crypto-kol-signals — Social dominance anomaly (KOL proxy, v1.0: social dominance as proxy, not real Twitter KOL data)
  • crypto-mention-surge — Detect abnormal mention spikes
  • crypto-fear-greed — Fear & Greed Index (real-time, free)

MCP Endpoint

https://mcp-skills.ai.antalpha.com/mcp

Environment switching: For local dev/test, replace with http://localhost:3000/mcp.

Protocol: MCP Streamable HTTP (JSON-RPC over HTTP with mcp-session-id header).

Connection Flow

1. POST /mcp → initialize (get mcp-session-id from response header)
2. POST /mcp → tools/call  (with mcp-session-id header)

Data Sources

Tool Source Real-time API Key
crypto-social-trending Santiment ⚠️ Free tier: ~35-day lag Required
crypto-sentiment-score Santiment ⚠️ Free tier: ~35-day lag Required
crypto-kol-signals Santiment ⚠️ Free tier: ~35-day lag Required
crypto-mention-surge Santiment ⚠️ Free tier: ~35-day lag Required
crypto-fear-greed alternative.me ✅ Real-time None

Note: Santiment free tier has ~35-day data lag. For real-time social data, upgrade to Santiment Basic ($49/mo) and update SANTIMENT_API_KEY on the server — no code changes needed.

MCP Tools (5)

crypto-social-trending

Get top crypto tokens ranked by social volume.

Parameters:

  • limit (optional): 1-50, default 10
  • time_range (optional): "24h" | "7d", default "7d"

Response example:

{
  "items": [
    {
      "rank": 1,
      "slug": "bitcoin",
      "symbol": "BTC",
      "social_volume": 2413,
      "sentiment_score": 57,
      "signal_level": "LOW",
      "trend_change": "N/A",
      "data_source": "santiment"
    }
  ],
  "meta": { "data_source": "santiment", "note": "Free tier: ~35-day lag" }
}

crypto-sentiment-score

Get sentiment score and trend for a specific token.

Parameters:

  • symbol (required): Token symbol or slug, e.g. "BTC", "ETH", "bitcoin"
  • time_range (optional): "7d" | "30d", default "7d"

Response example:

{
  "symbol": "BTC",
  "sentiment_score": 57,
  "social_volume": 19301,
  "trend_direction": "down",
  "change_vs_prev": "-17.4%",
  "signal_level": "LOW",
  "data_source": "santiment"
}

crypto-kol-signals

Detect social dominance anomalies as KOL activity proxy.

v1.0 uses social_dominance_total as KOL proxy. Real Twitter KOL data planned for v2.0.

Parameters:

  • symbol (required): Token symbol or slug
  • time_range (optional): "7d" | "30d", default "7d"
  • threshold (optional): Surge multiplier threshold, 1-10, default 1.5

Response example:

{
  "symbol": "BTC",
  "social_dominance": 1.16,
  "dominance_change": -33,
  "surge_ratio": 0.67,
  "sentiment_direction": "bullish",
  "signal_level": "LOW",
  "note": "Social dominance anomaly used as KOL proxy. Real KOL data (Twitter API) planned for v2.0."
}

crypto-mention-surge

Detect tokens with abnormal social mention spikes.

Parameters:

  • threshold (optional): Surge ratio vs historical avg, default 2.0
  • time_window (optional): "7d" | "30d", default "7d"
  • limit (optional): 1-50, default 10

Response example:

{
  "items": [
    {
      "rank": 1,
      "symbol": "SOL",
      "current_volume": 1200,
      "historical_avg": 400,
      "surge_ratio": 3.0,
      "sentiment_direction": "bullish",
      "signal_level": "HIGH"
    }
  ],
  "total_found": 1
}

crypto-fear-greed

Get the Crypto Fear & Greed Index. Real-time, no API key required.

Parameters:

  • days (optional): History days to return, 1-30, default 7

Response example:

{
  "current": {
    "value": 23,
    "classification": "Extreme Fear",
    "date": "2026-04-15"
  },
  "trend": "improving",
  "signal_level": "MEDIUM",
  "market_note": "市场偏恐慌,情绪面有支撑,注意底部信号。",
  "history": [...],
  "data_source": "alternative.me"
}

Contrarian signal logic:

  • Extreme Fear (≤20) → 🔴 HIGH (historical buy opportunity)
  • Fear (21-40) → 🟡 MEDIUM
  • Neutral (41-60) → 🟢 LOW
  • Greed (61-79) → 🟢 LOW
  • Extreme Greed (≥80) → 🔴 HIGH (caution, potential top)

Signal Levels

Level Condition Badge
HIGH sentiment>70 + surge>3x, OR Extreme Fear/Greed 🔴
MEDIUM sentiment≥50 + surge≥2x, OR Fear 🟡
LOW otherwise 🟢

Note: crypto-kol-signals signal_level is based on dominance_change (independent of the sentiment+surge rule above). Extreme dominance change (>50% or \x3C-50%) → HIGH; moderate change → MEDIUM; otherwise LOW.

Workflow

Check Market Sentiment (most common)

1. crypto-fear-greed { days: 7 }           ← overall market mood
2. crypto-social-trending { limit: 10 }    ← what's hot
3. Present combined view to user

Analyze Specific Token

1. crypto-sentiment-score { symbol: "ETH" }
2. crypto-kol-signals { symbol: "ETH", threshold: 1.5 }
3. Combine: sentiment score + dominance signal → final assessment

Early Warning Scan

1. crypto-mention-surge { threshold: 2.0, limit: 10 }
2. For tokens with HIGH/MEDIUM signals → crypto-sentiment-score to confirm
3. Alert user to tokens with multiple converging signals

Combined with Smart Money

When social signal + on-chain signal converge:

1. crypto-mention-surge detects abnormal spike
2. → Call smart-money-signal to check if whales are buying
3. Two signals converging → stronger conviction

Message Template

When presenting social intel to user:

📊 市场情绪总览
恐惧贪婪指数: 23 — Extreme Fear 🔴
趋势: improving ↗
注记: 历史上极度恐慌区间往往是逆向机会,但需结合链上数据确认。

🔥 社交热榜 Top 5
#1 BTC  vol=2413  sentiment=57  🟢 LOW
#2 ETH  vol=491   sentiment=52  🟢 LOW
#3 SOL  vol=386   sentiment=52  🟢 LOW

Mention surge alert:

🚨 社交提及暴增预警
SOL: 当前3000 vs 均值400 → 7.5x ↑ 🔴 HIGH (bullish)
建议: 关注链上是否有聪明钱跟进

Agent Behavior Rules

On "市场情绪怎么样" / "market sentiment"

  1. Call crypto-fear-greed first (real-time, fast)
  2. Optionally call crypto-social-trending for top tokens
  3. Present combined view
  4. When Santiment data is involved, always append: ⚠️ 社交数据来自 Santiment 免费层,存在约 35 天延迟,仅供参考。

On "BTC情绪" / "SOL sentiment" / specific token

  1. Call crypto-sentiment-score { symbol }
  2. If signal_level is HIGH or MEDIUM, also call crypto-kol-signals
  3. Present score + trend + signal
  4. Always append disclaimer: ⚠️ 数据来自 Santiment 免费层,存在约 35 天延迟,仅供参考,勿作实时决策依据。
  5. For kol-signals output, always note: 注:v1.0 KOL 信号以社交主导度代理,非真实 Twitter KOL 数据,v2.0 将接入 Twitter API。

On "哪些币在暴涨社交" / "mention surge" / "异常热度"

  1. Call crypto-mention-surge { threshold: 2.0 }
  2. For HIGH signal items, offer to do deeper analysis
  3. Always append disclaimer: ⚠️ 数据来自 Santiment 免费层,存在约 35 天延迟,仅供参考。

On "恐惧贪婪" / "fear greed" / "市场贪婪指数"

  1. Directly call crypto-fear-greed
  2. Present value, classification, trend, market note

Supported Token Slugs

Common symbol → slug mapping (Santiment):

Symbol Slug
BTC bitcoin
ETH ethereum
SOL solana
BNB binance-coin
XRP ripple
DOGE dogecoin
ADA cardano
AVAX avalanche
DOT polkadot
LINK chainlink
UNI uniswap
ARB arbitrum
OP optimism
SUI sui

For unlisted tokens, pass the full Santiment slug directly (e.g. "pepe", "floki").


由 Antalpha AI 提供聚合服务 | Powered by Antalpha AI

安全使用建议
This skill appears to do what it says (crypto social signals from Santiment + alternative.me), but it relies on a third-party MCP endpoint (https://mcp-skills.ai.antalpha.com/mcp). Before installing or invoking it: 1) Ask who operates that MCP endpoint and request their privacy/data-retention policy; confirm TLS, ownership, and whether they log full user prompts or responses. 2) Do not send secrets or private data through the skill — the documentation does not specify what is forwarded. 3) If you need stronger guarantees, ask for source code or a way to run the MCP backend locally (the doc suggests a localhost alternative), or host your own instance and keep your Santiment API key private. 4) If you plan to provide your own Santiment API key, verify how and where it will be stored and who can access it. If any of these questions remain unanswered, consider the skill suspicious and avoid using it for sensitive information.
功能分析
Type: OpenClaw Skill Name: crypto-social-intel Version: 1.0.0 The crypto-social-intel skill provides tools for analyzing crypto market sentiment and social trends using the Santiment API and alternative.me. It operates via a remote MCP endpoint (mcp-skills.ai.antalpha.com) and includes well-defined instructions in SKILL.md for the AI agent to handle user queries and present data with appropriate disclaimers. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力标签
cryptorequires-sensitive-credentials
能力评估
Purpose & Capability
The name, description, tools, and data sources (Santiment + alternative.me) align with the declared functionality (social trending, sentiment, KOL proxy, mention surges, Fear & Greed). There are no unrelated binaries or environment variables requested in the skill metadata. The note that Santiment requires an API key is consistent with the data source.
Instruction Scope
The SKILL.md instructs the agent to initialize and call a remote MCP endpoint (https://mcp-skills.ai.antalpha.com/mcp) to run the five tools. It does not document what payloads are sent, what user context or prompts are forwarded, or the MCP operator's data handling/retention policies. Because the agent will transmit user queries and context to that external service, this is a potential privacy/exfiltration vector not accounted for in the description.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or auto-installed. This is lower risk from an install/execution perspective.
Credentials
The skill declares no required environment variables for the agent, but the SKILL.md repeatedly states that Santiment API keys are required for the Santiment-backed tools and suggests setting SANTIMENT_API_KEY on the server. That mismatch is explainable (keys may be held by the remote MCP service), but it should be explicit who controls the key and whether user-provided secrets would be uploaded to that service. No unrelated credentials are requested.
Persistence & Privilege
The skill does not request always:true, does not request persistent system config, and is user-invocable only. It does allow normal autonomous model invocation, which is standard for skills.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install crypto-social-intel
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /crypto-social-intel 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of crypto-social-intel skill: - Provides 5 social intelligence tools for crypto: trending tokens, sentiment score, KOL signals, mention surge detection, and real-time Fear & Greed Index. - Integrates Santiment (free tier, ~35-day lag) for most social data, and alternative.me for real-time Fear & Greed data. - Includes recommended workflows for market sentiment, token analysis, early warning, and signal combination. - Presents example response templates and clear agent behavior rules for various user queries. - Notes limitations of Santiment free tier and current KOL signals (not real Twitter data).
元数据
Slug crypto-social-intel
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Crypto Social Intel 是什么?

Crypto social intelligence skill for AI agents. Activate when user mentions social trends, sentiment analysis, KOL signals, mention surge, Fear & Greed Index... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 81 次。

如何安装 Crypto Social Intel?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install crypto-social-intel」即可一键安装,无需额外配置。

Crypto Social Intel 是免费的吗?

是的,Crypto Social Intel 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Crypto Social Intel 支持哪些平台?

Crypto Social Intel 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Crypto Social Intel?

由 Jackxun520(@jackxun520)开发并维护,当前版本 v1.0.0。

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