Adds 5 market analysis skills to Claude Code, Codex & OpenClaw — macro policy, on-chain whale flows, sentiment indicators, technical analysis, and market news — powered by Bitget's official data. No account. No API key.
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@bitget-ai/bitget-signal is Bitget's official cryptocurrency market analysis skill package and the Signal Stack of the Bitget Agent Hub. It adds 5 market analysis skills to Claude Code, Codex, and OpenClaw, backed by Bitget's official public MCP data service.
No Bitget account. No API key. Just install and start asking about crypto markets.
- Node.js ≥ 20
- Python with
pandasandnumpy(optional, only for thetechnical-analysisskill)
npx @bitget-ai/bitget-signal --target allAfter installation, restart your AI tool so the new skills take effect.
Ask your AI: "What is the current Bitcoin Fear & Greed Index?"
If it returns data, both the skill files and the MCP data server are correctly configured.
Each of the 5 skills connects to a dedicated Bitget official data source. Each skill carries explicit trigger phrases so your AI assistant invokes the right one without you needing to be technical.
| Ask Your AI | Skill | Powered By |
|---|---|---|
| "How is Fed policy affecting BTC?" · "Is BTC correlated with Nasdaq?" | macro-analyst |
Fed policy, FOMC news, yield curve, cross-asset correlation (BTC vs Gold/DXY/Nasdaq/S&P/10Y) |
| "Are whales moving assets on-chain?" · "Is ETF money flowing in or out?" | market-intel |
On-chain capital flows, ETF data, DeFi TVL, cycle indicators |
| "Is the market fearful or greedy?" · "Are funding rates positive?" | sentiment-analyst |
Fear & Greed Index, long/short ratio, OI, funding rates, taker ratio, Reddit signals |
| "Is BTC RSI overbought?" · "Where's the support level?" | technical-analysis |
23 indicators across 6 categories (trend, volatility, oscillator, volume, momentum, support/resistance) |
| "What's important in crypto today?" | news-briefing |
44 RSS/Atom feeds, social trending boards, narrative synthesis |
The
technical-analysisskill requires a local Python environment (pandas,numpy). The other four skills do not need Python.
# All supported AI tools (Claude Code + Codex + OpenClaw)
npx @bitget-ai/bitget-signal --target all
# Default — Claude Code only
npx @bitget-ai/bitget-signal
# Specific targets
npx @bitget-ai/bitget-signal --target claude,codex
# Interactive picker
npx @bitget-ai/bitget-signal --interactiveWhat the installer does, in order:
- Copies the five skill folders into your AI tool's skill directory.
- Registers the public
bitget-signalMCP server (HTTP transport) in your tool's MCP config.
| Target | Skill location | MCP config |
|---|---|---|
| Claude Code | ~/.claude/skills/ |
via claude mcp add |
| Codex | ~/.codex/skills/ |
written to ~/.codex/config.toml |
| OpenClaw | ~/.openclaw/skills/ |
written to ~/.openclaw/config.json |
Close and reopen your AI tool to load the new skills and MCP server.
Ask your AI: "What is the current Bitcoin Fear & Greed Index?"
Expected: returns the current index value with interpretation.
bitget-signal is two things bundled:
- The five skill files — markdown that teaches your AI assistant what each skill does and when to invoke it. Pure text, no runtime process.
- An MCP server registration — your AI host gets pointed at Bitget's public market-data MCP (HTTP transport). When the AI calls a tool, the request goes to the public server and results come back. No proxy through your machine, no credentials needed.
The skills are the prompt; the MCP server is the tools. The installer wires up both in one command.
bitget-signal (this package) |
bitget-agent-skill (trading) |
|
|---|---|---|
| Purpose | Analyze market data | Trade on your Bitget account |
Requires bitget-agent-cli? |
No — runs standalone | Yes — must be installed together |
| Requires API key? | No | Yes (your Bitget credentials) |
| Triggers on | "Is BTC overbought?" · "Whale flows" · "Fed policy" | "Buy / sell / check positions / cancel order" |
Both can be installed side by side — use bitget-signal to analyze, then bitget-agent-skill + bitget-agent-cli to act.
Beyond generic skills, bitget-signal will ship signals only Bitget can produce — built directly from Bitget's exchange data:
top-trader-flow— aggregated, anonymised positioning of Bitget's top copy-trading leaders.derivatives-structure— perp basis, term structure, and funding-rate curve from Bitget's orderbook.large-flow-detect— whale-sized order detection on Bitget pairs in real time.
These will ship as additional skills inside this same package — no reinstall required.
- ✅ No credentials required: accesses only public market data — no Bitget account or API key.
- ✅ MCP server maintained by Bitget: data delivered via Bitget's public MCP service over HTTP.
- ✅ Skill files have no runtime process: pure Markdown, no local resource consumption.
If you previously installed under an older name:
- npm install -g bitget-skill-hub # deprecated
- npm install -g bitget-ai-analyst # deprecated
+ npx @bitget-ai/bitget-signal # canonical nameAlso remove the old market-data MCP entry from your AI host config — the new install registers the server under the name bitget-signal.
Re-running the installer is idempotent: it refreshes the skill files and skips any MCP entry that is already configured.
npx @bitget-ai/bitget-signal --target all| Package | Purpose |
|---|---|
| bitget-agent-cli | Terminal AI trading tool |
| bitget-agent-skill | AI reasoning guide for trading |
| bitget-agent-sdk | SDK for building Bitget trading agents |
| bitget-agent-mcp | Desktop AI MCP server |
| agent_hub | Ecosystem entry point |
bitget-signal is Bitget's official cryptocurrency market analysis skill package for Claude Code, Codex, and OpenClaw. It provides 5 natural language analysis skills covering macro policy, on-chain flows, sentiment, technical indicators, and market news. No account or API key required.
Yes. bitget-signal accesses only public market data — no Bitget account or API key required.
Run npx @bitget-ai/bitget-signal --target all, then restart your AI tool.
The technical-analysis skill requires pandas and numpy. The other four skills do not need Python.
Yes. Market data is provided and maintained by Bitget, delivered via a public MCP service.
Absolutely — and recommended. Use bitget-signal to analyze, then bitget-agent-skill + bitget-agent-cli to trade.
Five dimensions: macro policy, on-chain intelligence, market sentiment, technical analysis (23 indicators), and market news (44 sources).
After restarting your AI tool, ask: "What is the current Bitcoin Fear & Greed Index?" If it returns data, setup is correct.
See the Updates section above.
Yes. MIT-licensed and free. The data backend is maintained by Bitget at no cost.
MIT License — free for personal and commercial use.
Official Bitget Agent Hub tool · Signal Stack. Market analysis content is for informational purposes only and does not constitute investment advice. Cryptocurrency markets carry risk.
Part of the Bitget Agent Hub ecosystem · Built for traders, analysts, and AI enthusiasts.
