Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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 HKUDS/Vibe-Trading --skill global-macrogit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/hkuds/vibe-trading/global-macro)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/global-macro"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/global-macro/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/global-macro"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/global-macro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01810 |
| Opus 5 | $0.00018 | $0.00905 |
| Sonnet 5 | $0.00007 | $0.00362 |
| Haiku 4.5 | $0.00004 | $0.00181 |
Grade A, and why
global-macro 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- global-macro — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global Macro Analysis
Overview
Builds a macro analysis framework from three dimensions: central-bank policy, exchange-rate regimes, and geopolitics. Outputs quantifiable macro factor signals to drive cross-asset allocation decisions. Core logic: macro cycles determine major asset direction, while micro-level timing is delegated to other skills.
Core Concepts
1. Central Bank Policy Transmission Chain
Policy-rate changes → government bond yield curve → credit spreads → financing costs for the real economy → corporate earnings → equity valuation
Monitoring framework for the three major central banks:
| Central Bank | Core Indicators | Forward Signals | Lagging Confirmation |
|---|---|---|---|
| Federal Reserve (Fed) | FFR, dot plot, SEP | CME FedWatch probabilities | nonfarm payrolls / CPI / PCE |
| European Central Bank (ECB) | Main refinancing rate | Eurozone PMI, HICP | credit growth |
| Bank of Japan (BOJ) | YCC band, policy rate | JPY exchange rate, JGB yields | core CPI |
Historical transmission of Fed hiking / cutting cycles to China A-shares (empirical):
- Late in a Fed hiking cycle (the last 1-2 hikes), China A-shares often have already priced it in, and the average drawdown of the CSI 300 narrows to -3%
- In the 3 months after the first Fed cut, the CSI 300 has averaged +8.2% (mean of the 2001 / 2007 / 2019 cycles)
- But rate cuts do not automatically mean gains. In 2008, cuts came with recession and China A-shares still fell
2. Exchange Rate Forecasting Framework
Three-layer model:
| Model | Applicable Horizon | Core Variables | Accuracy |
|---|---|---|---|
| Purchasing Power Parity (PPP) | 3-5 years | CPI gap between two countries | Long-term anchor |
| Interest Parity (UIP/CIP) | 3-12 months | rate differential + forward premium/discount | Medium-term direction |
| BEER model | 1-3 years | terms of trade + net foreign inflows + productivity | Equilibrium estimate |
USD/CNY practical checklist:
- China-US 10Y spread > 0: appreciation pressure on the RMB (capital inflows)
- China-US 10Y spread < -150bp: rising depreciation pressure on the RMB
- Net FX settlement surplus / deficit: directly reflects conversion direction of corporates and households
- PBOC fixing vs market expectation: signal that the countercyclical factor has been activated
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.
- 11d ago First seen · 157 lines · 36 tokens per session scan A aaedaf75ab7f
global-macro is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 1,810 once invoked, about $0.0002 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 2026-08-30.
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