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 pairs-rvgit 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/pairs-rv)<a href="https://agentmods.dev/skills/travisun/opptrix/pairs-rv"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/pairs-rv/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/pairs-rv"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/pairs-rv.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 | $0.00071 | $0.00913 |
| Opus 5 | $0.00036 | $0.00456 |
| Sonnet 5 | $0.00014 | $0.00183 |
| Haiku 4.5 | $0.00007 | $0.00091 |
Grade A, and why
pairs-rv 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
配对价差(相对价值)
何时使用
用户要研究两只(或一组)标的的价差/比值相对价值,而非单边趋势或组合因子暴露。边界:组合行业/风格暴露用 @skill:factor-exposure;本技能做双侧价差/比值框架(assumption-only,无原生协整库)。
完整度:assumption-only。本地无原生协整/Johansen 库;不得假装已做严格统计协整检验,除非用户自备脚本且结果可复核。
分析架构(投研方法)
- 问题/假设:价差是否偏离历史区间?偏离是否可由基本面解释?
- 证据清单:双侧快照与图表、沙盒计算的价差序列
- 多维交叉验证:价格比 vs 价差;短期冲击 vs 中期区间
- 结论与不确定:均值回归仅为假设;无协整证明不得写成「已协整」
- 事实 | 假设 | 推断 分栏
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 配对确认 | search_instruments / ask_user |
先确认双侧代码 |
| 双侧行情 | get_instrument_snapshot / get_instrument_quotes |
标明缺失侧 |
| 双侧图表 | get_instrument_chart(两侧都要) |
仅文字描述,勿画假图 |
| 价差序列 | opptrix_run(可 workspace_write) |
用离散点手工表并标假设 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
步骤
- 确认配对与价差定义(价差 / 比值 / 对数比)。
- 拉取双侧快照与 chart(报告须有双侧图或明确缺失)。
- 沙盒价差:
opptrix_run计算;声明无原生协整库。 - 区间与偏离:历史分位仅为描述统计,不作交易信号承诺。
- 交付网页(默认):双侧图 + 价差图;见
@skill:create-web。
网页报告建议目录
- 配对定义、假设与能力声明(无原生协整库)
- 双侧行情卡片
- 双侧价格/结构图
- 价差或比值序列与描述统计
- 事实 / 假设 / 推断分栏
- 风险与缺口
- 免责声明(无开平仓建议)
禁止
- 荐股或「开多A空B」指令
- 编造协整 p 值或假装调用了专业协整库
- 只分析单边却自称配对研究
- 禁止无交付就结束
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 · 67 lines · 71 tokens per session scan A d7d3abb94295
pairs-rv is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 71 tokens to every session and 913 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.
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-valuation
A Chinese-language adviser that assesses whether a stock's current valuation looks high or low. It adapts the comparison to the industry and examines historical and peer-company valuation ranges.