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 Travisun/Opptrix --skill lean-etf-constituentsgit 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/lean-etf-constituents)<a href="https://agentmods.dev/skills/travisun/opptrix/lean-etf-constituents"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-etf-constituents/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/travisun/opptrix/lean-etf-constituents"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-etf-constituents.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 | $0.00087 | $0.01625 |
| Opus 5 | $0.00044 | $0.00813 |
| Sonnet 5 | $0.00017 | $0.00325 |
| Haiku 4.5 | $0.00009 | $0.00162 |
Grade A, and why
lean-etf-constituents 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LEAN ETF成分宇宙
方法溯源 QuantConnect LEAN 社区算法/示例思路；本技能是平台工具编排的投研工作流，禁止假装跑完整 LEAN 引擎或输出 LEAN 回测曲线、订单日志冒充引擎结果。实际取数与计算仅限 Opptrix 工具（行情/财务/opptrix_run 沙盒等）。
何时使用
用户要以 场内 ETF（默认 A股） 持仓作为研究/筛选宇宙（成分+权重事实表），而非单只 ETF 概况尽调（LEAN 方法溯源，非美股原版照搬）。默认交付可预览网页。
边界：单只 ETF 概况/净值/持仓解读用 @skill:etf-research；主题多篮对照用 @skill:lean-etf-thematic-baskets；条件筛选事实表用 @skill:universe-screen。
A股适配（默认）
- 默认市场 CN（A股 / 场内 ETF）。用户点名美股/港股再切换，并声明数据口径与微观结构差异。
- 默认取数优先
search_instruments/get_index_constituents/get_sector_*/get_etf_*及 CN 可用指标与行情工具。 - 默认场内 ETF（如 510300 等由
ask_user确认代码）；用get_etf_holdings/get_etf_profile拉持仓。 - 美股原版 ETF 成分清单仅作溯源对照，禁止把美股持仓硬说成 A 股。
- 微观结构：成分权重与成交额受涨跌停影响时须注明；不做空假设。
- 不可硬适配或数据缺口时：首页横幅写清完整度（partial 或更严）+ 必要时
ask_user。
分析架构（投研方法）
- 问题/假设：该 ETF 持仓宇宙覆盖哪些标的？权重集中度如何？
- 证据清单：ETF 概况、持仓表、可选成分快照
- 多维交叉验证：宣称跟踪主题 vs 前十大；权重和 vs 100%；持仓时效 vs 报告日
- 结论与不确定：成分表≠可投资组合建议；权重滞后须披露
- 风险与缺口：缺持仓、联接基金差异、跨境标的不可得
- 微观/制度风险：涨跌停钝化、T+1、ST/停牌、融券受限（及相关会计口径差异）；不得按美股连续可成交或自由做空假设叙事
- 事实 | 假设 | 推断 分栏强制
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| ETF 定位 | get_etf_list / search_instruments / ask_user |
先确认代码 |
| 概况 | get_etf_profile |
仅写可得字段 |
| 持仓/权重 | get_etf_holdings |
降级为「无持仓」并中止宇宙表 |
| 成分行情（可选） | batch_instrument_snapshots |
省略行情列 |
| 固化 | workspace_write / opptrix_run |
仅聊天表并说明未落盘 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
| A股场内ETF | get_etf_* + ask_user 确认代码 |
无持仓则 partial + 缺口横幅 |
步骤
- 确认默认 CN：标的/宇宙为 A股或场内 ETF（用户点名其他市场再切换并声明差异）。应用涨跌停/T+1/融券受限等微观约束（见 A股适配）。
- 确认 ETF：一只或多只；多只时说明是并集还是分篮
- 写清 LEAN 溯源边界：灵感来自 LEAN ETF Universe Selection 思路；本会话不启动 LEAN Runtime
- 拉取概况与持仓：整理成分代码、权重、报告日
- 可选补行情：批量快照；缺字段记未知
- 事实/假设/推断分栏：权重为事实（带时效）；「代表性宇宙」为推断
- 交付网页（默认）：
list_web_vendor→create_web；已有则read_web/update_web
网页报告建议目录
- 范围：默认 A股/场内 ETF + LEAN 溯源
- ETF 卡片与持仓时效
- 成分与权重表（可排序）
- 集中度与覆盖统计
- 可选成分行情摘要
- 事实 / 假设 / 推断分栏
- 缺口与后续技能指引
- A股适配与限制（默认 CN；微观结构/代理/完整度）
- 免责声明（无买卖建议；非 LEAN 官方回测）
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 · 89 lines · 87 tokens per session scan A d304ada26c86
lean-etf-constituents is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 87 tokens to every session and 1,625 once invoked, about $0.0004 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 2026-09-03.
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