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 agentmods add skills/travisun/opptrix/etf-researchnpx skills add Travisun/Opptrix --skill etf-researchgit clone --depth 1 https://github.com/Travisun/OpptrixWrote 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/travisun/opptrix/etf-research)<a href="https://agentmods.dev/skills/travisun/opptrix/etf-research"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/etf-research.svg" alt="Measured on agentmods" 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 | $0.00093 | $0.00879 |
| Opus 5 | $0.00046 | $0.00439 |
| Sonnet 5 | $0.00019 | $0.00176 |
| Haiku 4.5 | $0.00009 | $0.00088 |
Grade A, and why
etf-research 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
ETF 研究
何时使用
用户要了解 ETF/场内基金 的概况、净值走势或持仓结构（不是个股尽调，也不是全市场早报）。默认交付可预览网页。
分析架构（投研方法）
- 问题/假设：该 ETF 跟踪什么、暴露什么风险？持仓是否与宣称主题一致？
- 证据清单：列表定位、概况（指数/规模/费用）、净值序列、持仓与行业分布
- 多维交叉验证：概况跟踪指数 vs 持仓前十大；净值波动 vs 持仓集中度
- 结论与不确定：结构事实优先；「适合/不适合某场景」须标推断且不构成建议
- 风险与缺口：缺净值、持仓延迟、场外联接差异
- 事实与推断必须分开
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 定位 | get_etf_list / 搜索 |
多候选请用户选择 |
| 概况 | get_etf_profile |
仅写可得字段 |
| 净值 | get_etf_nav |
省略净值图 |
| 持仓 | get_etf_holdings |
省略持仓章并说明 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认 ETF 代码/名称（可对比多只时先确认清单）。
- 按维度取数：概况 → 净值 → 持仓。
- 交叉验证与结构化结论：概况 → 净值要点 → 持仓/行业 → 局限。
- 交付网页（默认）：
list_web_vendor→create_web（净值可用本地 vendor 图表）；已有则read_web/update_web。 - 备选：用户点名画布 / 结构图时改用对应工具。
网页报告建议目录
- ETF 卡片：代码、名称、跟踪指数
- 规模、费用与关键概况字段
- 净值走势要点（图/表）
- 持仓与行业分布
- 结构风险与数据局限
- 免责声明（无买卖建议）
禁止
- 荐股或编造持仓/净值
- 禁止无交付就结束（默认须有 web 产物，除非用户明确只要口头要点）
- 把个股尽调流程硬套到 ETF（用户明确要个股时转
@skill:equity-deep-dive）
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 · 64 lines · 93 tokens per session scan A c14e541d2277
etf-research is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed today), licensed Apache-2.0. It adds 93 tokens to every session and 879 once invoked, about $0.0005 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.
Other skills, from other repositories
national-team-position
估计中国 A 股"国家队"(中央汇金)的宽基 ETF 持仓变动趋势——追踪上交所沪深300/上证50/中证500/中证1000/中证A500/科创50 的 ETF 份额变化,叠加各自指数走势,生成六合一总图与各指数单图。Estimates China's "national team" (Central Huijin) broad-base ETF positioning by tracking Shanghai Stock Exchange ETF share changes. Use when the user asks about 国家队持仓 / 国家队仓位 / 中央汇金持仓 / 国家队加仓 / 国家队减仓 /…
caijing-ipo-hk
财经·港股打新——完整打新顾问 + 发行体检。回答"这只港股新股怎么打、打多少、破发统计风险多大"。内置：可配置用户档案（券商/资金/风险偏好）、主流券商费率预设、申请档位与历史配售证据、绝对孖展金额、因子体检（保荐人/基石/定价四分位/结构/热度/情绪/18A/18C）、三档条件性方案与执行清单。含招股期与数据时效 gate；默认自用模式可给条件性申购建议，对客输出仍按 compliance-rendering 降级。触发："分析这个新股""XX招股了""怎么打""打多少手""港股打新""孖展""暗盘"；命令 /caijing:ipo-hk。.
caijing-fundamental
财经·基本面——产出一份分析师级、全面、详细、前瞻、论点驱动的深度研究文档。对 A股/港股上市公司：立核心论点与分歧视角（市场信什么、我哪里不同），在 2–3 个决定命运的胜负手上量化钻透（带估算区间与置信度），十四段全面框架每段有真分析与子项，配三情景前瞻盈利、估值矩阵、多投资哲学对撞、Pre-Mortem 反偏见与长期跟踪清单。默认产出研报级 docx；客户合规版按需。触发："全面分析XX""XX基本面怎么样""这公司质地如何"；命令 /caijing:fundamental。.
rodya-caijing-studio
财经内容台——面向个人投资者、研究人员与券商投顾/客户经理的 A股+港股专业研究和内容生产工具包。用于全面分析公司基本面、点评财报、判断估值位置、排查财务风险、梳理产业链、体检 A股/港股新股；所有使用者默认获得同一专业研究内核和研报级 docx，客户合规版按需生成，卡片/文案/PPT 按用户点名触发。稳定命令：/caijing:fundamental、/caijing:earnings、/caijing:valuation、/caijing:risk、/caijing:industry、/caijing:ipo-a、/caijing:ipo-hk。.
caijing-earnings
财经·财报——只回答"这季财报行不行/财报前该看什么"。财报发布后的事件驱动快评：最新期核验 gate、同比环比速览、超预期三层基准判定（一致预期优先于公司指引，公司指引优先于历史季节性）、扣非与现金流含金量验证、前瞻指标（合同负债/订单/资本开支）、对投资逻辑支柱的增强/削弱/中性影响；财报发布前可做 earnings preview（关键指标、三情景、催化清单）。默认产出专业版财报点评 docx；客户版财报速览卡+文案按需。触发："XX出财报了""点评XX年报/中报/季报""这季业绩怎么样""财报前看什么""业绩预览"；命令 /caijing:earnings。.
caijing-industry
财经·产业链——只回答"题材链条怎么分、代表公司有哪些"（题材层，不是个股层）。覆盖题材驱动、行业指标、渗透率 S 曲线、上下游图谱、利润池五因子、竞争方式和代表公司纯度；客户合规版保留利润沉淀与供给约束判断，但不做推荐排序。默认产出专业版产业链梳理 docx；客户版图谱卡+文案按需。触发："XX题材梳理""XX产业链""受益标的有哪些""这个概念怎么看"；命令 /caijing:industry。.