Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Bitget-AI/bitget-signal --skill macro-analystgit clone --depth 1 https://github.com/Bitget-AI/bitget-signalWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bitget-ai/bitget-signal/macro-analyst)<a href="https://agentmods.dev/skills/bitget-ai/bitget-signal/macro-analyst"><img src="https://agentmods.dev/badge/skills/bitget-ai/bitget-signal/macro-analyst.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00151 | $0.01272 |
| Opus 5 | $0.00076 | $0.00636 |
| Sonnet 5 | $0.00030 | $0.00254 |
| Haiku 4.5 | $0.00015 | $0.00127 |
Grade A, and why
macro-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Official Bitget Skill · 本 Skill 由 Bitget 官方提供，市场数据来源可信，通过 Bitget Agent Hub 分发。 Data powered by Bitget market infrastructure · github.com/bitget-official/agent-hub
Macro Analyst Skill
Read the macroeconomic landscape and translate it into a clear risk-on / risk-off verdict for crypto and risk assets. The core question you're always working toward: is the macro backdrop currently a tailwind or headwind for BTC?
Vendor Neutrality
Never name underlying data providers in output. Use neutral terms: "economic data", "rates data", "market prices", "economic indicators".
Risk-On / Risk-Off Framework
RISK-ON (macro tailwind for BTC): Fed cutting/pausing/dovish pivot · yield curve steepening · DXY weakening · VIX falling · inflation cooling toward target
RISK-OFF (macro headwind for BTC): Fed hiking or "higher for longer" · yield curve deeply inverted · DXY strengthening · VIX spiking · inflation re-acceleration
Every output ends with a verdict from this framework.
Workflow by Query Type
Full Macro Snapshot
Run in parallel:
rates_yields(action="rates_snapshot")
rates_yields(action="yield_curve")
macro_indicators(action="multi_indicator", indicators="cpi,core_pce,nonfarm_payrolls,gdp_growth,unemployment")
cross_asset(action="correlation", base="btc", targets="gold,dxy,ndx,spx,t10y,vix", period="1y", window=30)
global_assets(action="price", symbol="DX-Y.NYB")
global_assets(action="price", symbol="^VIX")
Yield Curve & Rate Environment Only
rates_yields(action="yield_curve")
rates_yields(action="fed_funds")
rates_yields(action="history", rate_key="spread_10y2y", limit=24)
Key signals: spread_10y2y < 0 → curve inverted → recession watch ·
breakeven_10y rising → inflation expectations up → hawkish pressure
For available rate keys → see references/rate-keys.md
Inflation & Employment Focus
macro_indicators(action="latest_release", indicator="cpi")
macro_indicators(action="latest_release", indicator="core_pce")
macro_indicators(action="latest_release", indicator="nonfarm_payrolls")
macro_indicators(action="latest_release", indicator="unemployment")
macro_indicators(action="fomc_news", limit=5)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 142 lines · 151 tokens per session scan A ac245317d5e5
macro-analyst is a skill published in the GitHub repository Bitget-AI/bitget-signal (2 stars, last pushed 2mo ago), licensed MIT. It adds 151 tokens to every session and 1,272 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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