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 skloxo/TideTrading --skill global-macrogit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/global-macro)<a href="https://agentmods.dev/skills/skloxo/tidetrading/global-macro"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/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/skloxo/tidetrading/global-macro"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/global-macro.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00036 | $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 9d 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.
This is a copy
100% identical to global-macro — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- 9d ago First seen · 157 lines · 36 tokens per session scan A aaedaf75ab7f
global-macro is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 2d ago), 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. It is 100% identical to global-macro, differing in 0 lines, and is treated as a copy.
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