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 EthanAlgoX/LLM-TradeBot --skill global-macro-reviewgit clone --depth 1 https://github.com/EthanAlgoX/LLM-TradeBotWrote 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/ethanalgox/llm-tradebot/global-macro-review)<a href="https://agentmods.dev/skills/ethanalgox/llm-tradebot/global-macro-review"><img src="https://agentmods.dev/badge/skills/ethanalgox/llm-tradebot/global-macro-review/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/ethanalgox/llm-tradebot/global-macro-review"><img src="https://agentmods.dev/badge/skills/ethanalgox/llm-tradebot/global-macro-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00027 | $0.00306 |
| Opus 5 | $0.00014 | $0.00153 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
global-macro-review 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 5d 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.
What it actually says
全球宏观共同变量
此 Skill 的序列读取方法改造自 MIT 许可的 gauss314/skills 中 fred-macro，执行层已替换为平台只读 Tool。
按以下顺序分析，不得用常识补写快照中缺失的数值：
- 资金价格：美国 2Y、10Y 与 10Y 实际利率，区分政策预期、期限溢价和成长股折现压力。
- 全球流动性：DXY、USD/CNH、USD/JPY，观察美元金融条件与套息交易风险。
- 风险偏好：VIX 与高收益债利差，优先识别变化速度和跨资产背离。
- 全球周期：原油、铜、PMI、通胀和就业，区分增长、通胀及供给冲击。
输出必须区分事实观测、机制推断和策略含义。低频数据使用“较前值”，不得描述成“日涨跌”。
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.
- 5d ago First seen · 26 lines · 27 tokens per session scan A fef614442b05
global-macro-review is a skill published in the GitHub repository EthanAlgoX/LLM-TradeBot (316 stars, last pushed 4d ago), licensed MIT. It adds 27 tokens to every session and 306 once invoked, about $0.0001 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 2026-09-05.
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