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Crypto Macro Regime Classifier

作者 JamieRossouw · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
1380
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1
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当前安装
1
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在 OpenClaw 中安装
/install crypto-macro-regime
功能描述
Classify current crypto macro regime (Risk-On / Risk-Off / Neutral) using Fear & Greed Index, BTC dominance, Reddit sentiment, on-chain signals, and macro ne...
使用说明 (SKILL.md)

Crypto Macro Regime Classifier

Determines the current macro regime for crypto markets and adjusts trading bias accordingly.

Regimes

Regime F&G Signals Bias
A — Risk On 50+ Positive news, low dominance Long bias +0.10
B — Neutral 25–50 Mixed No adjustment
C — Risk Off \x3C25 Fear, macro shock Short bias, reduce size
D — Extreme Fear \x3C15 Capitulation Contrarian long setup

What It Returns

  • Current regime (A/B/C/D) with confidence
  • Fear & Greed value + classification
  • Asset-specific bias adjustments
  • Key macro drivers (Fed, regulation, hack risks)
  • Recommended portfolio allocation %

Usage

Use crypto-macro-regime to get current market regime

Use crypto-macro-regime to check if now is a good time to go long BTC

Use crypto-macro-regime for today's macro briefing

Data Sources

  • alternative.me Fear & Greed API (free)
  • Reddit r/CryptoCurrency, r/Bitcoin sentiment
  • CoinDesk headlines
  • BTC difficulty and dominance data

Current Calibration

Regime D (Extreme Fear, F&G=8) = historically strong medium-term contrarian bullish signal. Best entries: RSI 35–55 range after panic selloff.

安全使用建议
This skill looks coherent and low-risk: it only describes how to gather public market and sentiment signals and makes no unusual requests. Before installing, consider: (1) The SKILL.md is vague about how it fetches data — at runtime the agent may perform web requests or scraping (expect network access). (2) If you want more reliable data, you may need to supply API keys (Reddit, CoinGecko, or news APIs); avoid providing unrelated secrets. (3) Treat its output as informational, not financial advice — validate signals and test with paper trading. (4) If you need to constrain behavior, require explicit credentials or specify approved data endpoints so the agent doesn't fetch arbitrary sites.
功能分析
Type: OpenClaw Skill Name: crypto-macro-regime Version: 1.0.0 The provided files consist of standard OpenClaw metadata (_meta.json) and a skill description (SKILL.md). The SKILL.md outlines a crypto market analysis tool that uses public data sources like the Fear & Greed API, Reddit sentiment, and CoinDesk headlines. There is no executable code, no evidence of prompt injection attempts, data exfiltration, malicious execution, or persistence mechanisms. The described functionality and data sources are consistent with a legitimate market analysis skill.
能力评估
Purpose & Capability
Name, description, and declared data sources (Fear & Greed, Reddit, CoinDesk, BTC metrics) align with a macro-regime classifier. No unrelated credentials, binaries, or config paths are required.
Instruction Scope
SKILL.md is high-level and instructs the agent to use the listed public data sources but does not provide exact endpoints or methods. That vagueness grants the agent discretion to fetch/scrape web content or call public APIs; this is expected for an instruction-only skill but worth noting because it could cause broad network access at runtime.
Install Mechanism
No install spec or code files — instruction-only skill. This is the lowest-risk model and nothing will be written to disk by an installer.
Credentials
The skill requests no environment variables or credentials. Some referenced data sources (e.g., Reddit API) can require API credentials for robust access, but the absence of requested credentials is coherent if the agent will rely on public endpoints or scraping.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request persistent or elevated privileges or modify other skills' config.
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-macro-regime
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /crypto-macro-regime 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: 4-regime classifier (A/B/C/D) with F&G, Reddit sentiment, asset bias adjustments.
元数据
Slug crypto-macro-regime
版本 1.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 1
常见问题

Crypto Macro Regime Classifier 是什么?

Classify current crypto macro regime (Risk-On / Risk-Off / Neutral) using Fear & Greed Index, BTC dominance, Reddit sentiment, on-chain signals, and macro ne... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1380 次。

如何安装 Crypto Macro Regime Classifier?

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

Crypto Macro Regime Classifier 是免费的吗?

是的,Crypto Macro Regime Classifier 完全免费(开源免费),可自由下载、安装和使用。

Crypto Macro Regime Classifier 支持哪些平台?

Crypto Macro Regime Classifier 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 Macro Regime Classifier?

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

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