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 taxueseek/fund-investment-guide --skill invest-macrogit clone --depth 1 https://github.com/taxueseek/fund-investment-guideWrote 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/taxueseek/fund-investment-guide/invest-macro)<a href="https://agentmods.dev/skills/taxueseek/fund-investment-guide/invest-macro"><img src="https://agentmods.dev/badge/skills/taxueseek/fund-investment-guide/invest-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/taxueseek/fund-investment-guide/invest-macro"><img src="https://agentmods.dev/badge/skills/taxueseek/fund-investment-guide/invest-macro.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 | $0.00125 | $0.01447 |
| Opus 5.5 | $0.00050 | $0.00579 |
| Sonnet 5.5 | $0.00025 | $0.00289 |
| Haiku 4.5 | $0.00013 | $0.00145 |
Grade A, and why
invest-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 1mo 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
invest-macro：宏观与市场环境
市场环境决定大类资产的方向。先看水位，再看情绪，最后看抄底信号。 数据来源见 invest-cli（intent macro / Wind economic_data）或公开检索，时效性强。
场景判断
| 用户问题 | 激活维度 |
|---|---|
| 「流动性」「美联储」「SOFR」「缩表」「钱紧不紧」 | 宏观流动性 |
| 「美股情绪」「NAAIM」「市场过热」「恐惧贪婪」 | 美股情绪 |
| 「比特币抄底」「BTC底部」「MVRV」 | 加密底部 |
| 「市场环境」「市场风险」「仓位管理」 | 全部三个 |
维度A：宏观流动性（4 大核心指标）
核心公式：净流动性 = 美联储总资产 − TGA 余额 − ON RRP 余额
| 指标 | 含义 | 信号 |
|---|---|---|
| 美联储净流动性 | 美联储实际注入市场的钱 | 单周下降 >5% → 预警；缓慢下降 → 关注 |
| SOFR 隔夜融资利率 | 银行间资金紧张度 | 突升 → 钱紧 |
| MOVE 美债波动率指数 | 债市动荡程度 | >120 → 预警 |
| 日元套利交易信号 | USDJPY + 全球风险 | 日元急升 + 美股大跌 → 套利平仓 |
综合输出：流动性评级（充裕 / 收紧 / 紧张）＋ 风险应对建议。
维度B：美股情绪
| 指标 | 信号 |
|---|---|
| NAAIM 暴露指数 | >80 机构满仓预警，<40 反向抄底 |
| 机构股票配置比例 | 历史极值区域预警 |
| 散户净买入额 | 散户狂热往往是顶部信号 |
| 标普500 远期市盈率 | >20 偏高，<15 偏低 |
| 对冲基金杠杆率 | 高杠杆增加系统性风险 |
| 恐惧贪婪指数 | >80 极端贪婪（顶区），<20 极端恐慌（反向机会） |
综合输出：情绪评级（贪婪 / 正常 / 恐慌）＋ 仓位建议（减仓 / 持有 / 加仓）。
维度C：加密底部信号
| 指标 | 信号 |
|---|---|
| BTC 周线 RSI | <30 严重超跌（历史底部区域） |
| 成交量萎缩 | <30日均量70%，卖压枯竭 |
| MVRV 比率 | <1 被低估，<0.8 严重低估 |
| 恐惧贪婪指数 | <20 极端恐慌（反向指标） |
| 矿机关机价 | 价格接近关机价 = 底部支撑 |
| 长期持有者行为 | LTH 增持 = 底部吸筹 |
综合输出：抄底评级（A/B/C/D，A=强烈信号）＋ 分批建仓与止损。
输出格式
# 市场环境分析
[激活维度名称]
━━━━━━━━━━━━━━━━━━━━
指标1：当前值 | 信号 | 简评
指标2：当前值 | 信号 | 简评
...
综合评级：____
关键结论：____
行动建议：____
数据来源：invest-cli（intent macro / Wind economic_data）或公开检索
免责声明：基于公开信息的分析框架，不构成投资建议。
数据获取（invest-cli）
intent macro 优先走 FRED 净流动性结构化通道，无 key 或取数失败自动降级 argo 检索：
# 宏观流动性（FRED：净流动性 = 总资产 − TGA − ON RRP + SOFR；需 FRED_API_KEY，免费注册）
# 无 key 时自动降级 argo nbs_stats；PATH 无 invest-cli 时兜底 python3 "$HOME/.agents/skills/invest-cli/scripts/invest_cli.py"
invest-cli intent macro
# 宏观检索兜底/背景（argo nbs_stats 等引擎池）
# 流动性/宏观经济（Wind economic_data）
invest-cli wind economic_data query_economic_indicator_data --input '{"indicatorCode":""}'
FRED key 配置（免注册费）：环境变量 FRED_API_KEY 或 ~/.config/invest-cli/fred.env 写入 FRED_API_KEY=xxx。
与系列技能分工
- 「分析黄金/白银/原油/债券/可转债/REITs」→ invest-asset
- 「市场环境/仓位管理」→ invest-macro
- 「美股个股」→ invest-stock
- 「资产配置再平衡」→ invest-allocation
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.
- 1mo ago Changed · +5 lines 44931bc784c2
- 1mo ago First seen · 125 lines · 125 tokens per session scan A d322d3a572ae
invest-macro is a skill published in the GitHub repository taxueseek/fund-investment-guide (21 stars, last pushed 1mo ago), licensed MIT. It adds 125 tokens to every session and 1,447 once invoked, about $0.0005 per session on Opus 5.5. 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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