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-ibs-reversiongit 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-ibs-reversion)<a href="https://agentmods.dev/skills/travisun/opptrix/lean-etf-ibs-reversion"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-etf-ibs-reversion/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-ibs-reversion"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-etf-ibs-reversion.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 | $0.00098 | $0.01458 |
| Opus 5 | $0.00049 | $0.00729 |
| Sonnet 5 | $0.00020 | $0.00292 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
lean-etf-ibs-reversion 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LEAN ETF IBS 回归
方法溯源 QuantConnect LEAN 社区/文档中常见的 IBS(Internal Bar Strength) 均值回归思路:(IBS = (Close - Low) / (High - Low))。本技能做IBS 状态与阈值规则解读,禁止假装跑完整 LEAN 引擎。
何时使用
用户要对 场内 ETF/A股标的 计算/解读 IBS,并对照低 IBS「超卖回归」类规则(LEAN 方法溯源,非美股原版照搬)。
边界:RSI 回归用 @skill:lean-rsi-reversion;单只 ETF 持仓尽调用 @skill:etf-research;指标手册用 @skill:lean-indicator-playbook。默认交付网页。
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。
- 默认标的池:A股 / 场内 ETF(
get_etf_list/search_instruments);用户点名美股再切换。 - IBS + 微观结构:涨跌停或一字板常致 High≈Low → IBS 无定义或信号失效,须剔除/标注;T+1 使「当日 IBS 极端 → 次日开盘交易」叙述须诚实。
- 禁止假设可自由做空;规则默认多头侧或空仓,不做空头 IBS 套利指令。
- 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:在约定 K 线周期下,IBS 是否处于极端低/高区?是否与趋势冲突?
- 证据清单:OHLC 推得 IBS(事实)、阈值(假设)、回归叙述(推断)
- 多维交叉验证:IBS vs 多日均值;与均线趋势是否背离
- 结论与不确定:缺口/涨跌停导致 High=Low;趋势市假信号
- 风险与缺口:无 OHLC、周期未确认
- 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 |
|---|---|---|
| 标的/ETF | search_instruments / get_etf_list / ask_user |
先确认 |
| OHLC/图表 | get_instrument_chart |
not-feasible |
| 快照 | get_instrument_snapshot |
可选 |
| 净值(ETF) | get_etf_nav |
用价格序列并说明 |
| 阈值 | ask_user |
显式默认(如 IBS < 0.2)并标假设 |
| 计算 | opptrix_run |
手工并披露公式 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
| 市场/微观结构 | CN 场内 ETF/股票 OHLC;涨跌停日剔除 | High=Low 标无效;样本不足则降级 |
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)。
- 确认标的与 K 线周期、IBS 阈值。
- 声明非 LEAN Runtime;写出 IBS 公式。
- 取 OHLC 计算 IBS;处理 High=Low 特例。
- 对照阈值与趋势冲突。
- 分栏结论 → 默认
create_web。
网页报告建议目录
- 范围:默认 A股/场内 ETF + LEAN 溯源
- IBS 定义与阈值规则
- 当前 IBS 与近期序列(事实)
- 与趋势指标的冲突检查
- 事实 / 假设 / 推断
- 局限(缺口、涨跌停、样本)
- A股适配与限制(默认 CN;微观结构/代理/完整度)
- 免责声明(IBS 状态≠买卖建议)
禁止
- 荐股;把低 IBS 写成「抄底」
- 禁止假装跑完整 LEAN 引擎或编造历史 IBS 胜率
- 禁止无交付就结束(默认 web)
- 在 High=Low 时强行除零却不披露
- 禁止把美股成分/ETF 清单不经映射直接当 A股结果
- 禁止假设可自由融券做空
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 · 87 lines · 98 tokens per session scan A d354fd517110
lean-etf-ibs-reversion is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 98 tokens to every session and 1,458 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 2026-09-03.
Other skills, from other repositories
national-team-position
A Chinese-language analysis tool that estimates changes in China’s government-backed ETF holdings by tracking ETF share counts and related index prices. ETFs are funds traded on stock exchanges, and the “national team” refers here to Central Huijin, a state investment company.
caijing-ipo-hk
A Chinese-language adviser for Hong Kong stock initial public offerings, or IPOs—the first sale of a company's shares to the public. It covers how to apply, how much to apply for, and risks such as the share price falling below the offering price.
caijing-fundamental
A finance research skill for writing a detailed, forward-looking analysis of a listed company’s business, financials, valuation, risks, and investment arguments. It covers companies listed in mainland China and Hong Kong.
rodya-caijing-studio
A toolkit for researching Chinese A-share and Hong Kong-listed companies and producing financial content. It includes separate workflows for company fundamentals, earnings, valuation, risks, industries, and IPO checks.
caijing-earnings
A finance research skill for reviewing listed companies’ earnings reports, or preparing for an upcoming report. It focuses on Chinese A- and Hong Kong-listed companies.
caijing-industry
A finance research skill for mapping an industry or investment theme from its drivers through its suppliers, customers, and representative companies. It is about the wider sector, not ranking individual stocks.