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 etf-analysisgit 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/etf-analysis)<a href="https://agentmods.dev/skills/skloxo/tidetrading/etf-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/etf-analysis/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/etf-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/etf-analysis.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 | $0.00039 | $0.08862 |
| Opus 5 | $0.00019 | $0.04431 |
| Sonnet 5 | $0.00008 | $0.01772 |
| Haiku 4.5 | $0.00004 | $0.00886 |
Grade A, and why
etf-analysis 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 etf-analysis — 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 — 871 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ETF 分析 Skill
定位
ETF（交易所交易基金）是被动投资与资产配置的核心工具。本 skill 覆盖 ETF 产品分析、选择方法论、策略应用、中国市场特色以及数据驱动的量化分析方法，为构建基于 ETF 的量化策略与组合提供完整框架。
1. ETF 产品分类
1.1 按标的资产分类
| 类型 | 代表产品 | 特点 |
|---|---|---|
| 宽基 ETF | 沪深300ETF (510300)、中证500ETF (510500)、创业板ETF (159915)、科创50ETF (588000) | 流动性最好，交易成本最低，适合核心仓位 |
| 行业 ETF | 消费ETF (159928)、医疗ETF (512170)、半导体ETF (512480)、银行ETF (512800) | 行业轮动工具，持仓集中度高 |
| 主题 ETF | 新能源ETF (516160)、碳中和ETF、元宇宙ETF | 主题炒作属性强，生命周期短 |
| 策略ETF / Smart Beta | 红利ETF (510880)、低波ETF、质量ETF、动量ETF | 因子暴露明确，费率通常略高于宽基 |
| 商品 ETF | 黄金ETF (518880)、豆粕ETF (159985)、原油ETF (162411) | 实物/期货支撑，注意展期损耗 |
| 债券 ETF | 国债ETF (511010)、信用债ETF、可转债ETF (511380) | 利率敏感，久期管理关键 |
| 跨境 ETF (QDII) | 纳指ETF (159632)、标普500ETF (513500)、日经225ETF (513880) | 汇率风险+溢价风险双重叠加 |
| 货币 ETF | 华宝添益 (511990)、银华日利 (511880) | T+0 申赎，流动性管理工具 |
1.2 结构类型
- 普通 ETF：场内交易，实物申赎（一篮子股票换购），折溢价有套利机制自动收敛
- LOF（上市开放式基金）：场内外均可交易，折溢价套利路径相同但效率略低
- ETF 联接基金：场外渠道购买的 ETF 替代品，T+1 申赎，无折溢价，适合定投
- 杠杆/反向 ETF：日内恒定杠杆，长期持有有衰减效应（见第 3.4 节）
2. ETF 核心指标
2.1 跟踪误差（Tracking Error）
衡量 ETF 复制指数能力的最核心指标。
日跟踪误差 = std(ETF日收益率 - 指数日收益率)
年化跟踪误差 = 日跟踪误差 × √252
评级标准（A股宽基ETF）：
- 优秀：年化跟踪误差 < 0.2%
- 合格：0.2% ~ 0.5%
- 较差：> 0.5%
跟踪误差来源：
- 管理费和托管费（持续拖累，每日计提）
- 分红处理时机（分红再投资延迟）
- 成分股纳入/剔除时的买卖冲击
- 现金仓位（申赎带来的暂时性现金拖累）
- 停牌股处理（用替代品或现金替代）
- 指数编制方法（全复制 vs 抽样复制）
2.2 信息比率（Information Ratio）
IR = (ETF年化收益率 - 指数年化收益率) / 年化跟踪误差
对 ETF 来说 IR 通常为负（因费率拖累），IR 越接近 0 越好。
2.3 折溢价率
折溢价率 = (ETF市价 - ETF净值IOPV) / ETF净值IOPV × 100%
- 正溢价：市价 > 净值，套利者卖出 ETF / 申购一篮子股票换购，溢价收敛
- 负折价：市价 < 净值，套利者买入 ETF / 赎回一篮子股票，折价收敛
- 异常溢价场景：跨境 QDII ETF（额度限制导致持续溢价）、停牌股比例高的行业 ETF
2.4 流动性指标
| 指标 | 含义 | 参考阈值 |
|---|---|---|
| 日均成交额 | 买卖方便程度 | 宽基 > 1亿，行业 > 2000万 |
| 买卖价差（Spread） | 即时交易成本 | < 0.05% 为优质 |
| 盘口深度 | 单笔大额交易冲击 | 买卖各5档累计 > 500万为佳 |
| 换手率 | 活跃程度 | 过低则流动性风险高 |
2.5 费率体系
综合费率 = 管理费 + 托管费 + 指数使用费
（不含交易佣金、印花税、申赎费）
长期费率影响公式：
N年费率复利损耗 = (1 - 年费率)^N
例：年费率0.5% vs 0.15%，10年差距 ≈ 3.5%，20年差距 ≈ 6.8%
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 · 871 lines · 39 tokens per session scan A d18b107bad10
etf-analysis is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 8,862 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 etf-analysis, differing in 0 lines, and is treated as a copy.
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