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/factor-exposurenpx skills add Travisun/Opptrix --skill factor-exposuregit 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/factor-exposure)<a href="https://agentmods.dev/skills/travisun/opptrix/factor-exposure"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/factor-exposure.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 | $0.00081 | $0.01053 |
| Opus 5 | $0.00041 | $0.00526 |
| Sonnet 5 | $0.00016 | $0.00211 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
factor-exposure 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 3d 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
因子暴露（组合结构诊断）
何时使用
用户要看组合或关注列表相对行业/风格/集中度的暴露结构，而非单只个股尽调或完整回测。边界：因子有效性检验用 @skill:factor-research；扰动稳健性用 @skill:robustness-check。
能力声明：本技能基于 analyze_portfolio 与持仓摘要做结构暴露诊断，不是官方 Barra / 商业风险模型（无完整因子协方差与特异风险分解）。
分析架构（投研方法）
- 问题/假设：组合是否过度集中于少数行业/个股？风格倾斜是否与用户认知一致？
- 证据清单：持仓/关注列表、组合摘要、
analyze_portfolio诊断输出 - 多维交叉验证：权重集中度 vs 收益贡献（若可得）；行业权重 vs 个股头部
- 结论与不确定：暴露为结构事实；「风险过高」属推断
- 风险与缺口：无持仓、价格刷新失败、跨市场行业口径不一致
- 事实 | 假设 | 推断 分栏：持仓权重为事实；代理风格标签为假设；风险含义为推断
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 范围 | ask_user：持仓 / 关注列表 |
先确认再分析 |
| 列表与持仓 | get_watchlist / get_portfolio_holdings |
说明为空，给下一步 |
| 摘要 | portfolio_summary |
用明细自行汇总并标注 |
| 诊断 | analyze_portfolio |
省略诊断章，仅做集中度表 |
| 标的核对 | search_instruments / get_instrument_snapshot |
跳过价格刷新 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认范围：持仓、关注列表或用户给定代码清单。
- 取数：列表/持仓 → 摘要 →
analyze_portfolio。 - 结构化暴露：行业/个股集中度、头部权重、可得的风格代理字段；显式声明非 Barra。
- 交叉验证：摘要指标 vs 明细加总；事实/假设/推断分栏。
- 交付网页（默认）：
list_web_vendor→create_web（权重饼图/条形图用本地 vendor）；已有则read_web/update_web。完整 HTML 规范见@skill:create-web。
网页报告建议目录
- 范围、时效与能力声明（非 Barra）
- 组合摘要 KPI
- 行业/个股暴露表
- 集中度与头部持仓
- 诊断要点（事实 / 推断分栏）
- 风险、缺口与后续观察
- 免责声明（无调仓建议）
禁止
- 荐股、调仓、目标仓位；编造暴露数字
- 禁止把结果写成「官方 Barra 因子暴露」或商业风险模型输出
- 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）
- 降级数据须标注可信度受限
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.
- 3d ago First seen · 69 lines · 81 tokens per session scan A de47f298c1ff
factor-exposure is a skill published in the GitHub repository Travisun/Opptrix (229 stars, last pushed today), licensed Apache-2.0. It adds 81 tokens to every session and 1,053 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 2026-08-30.
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caijing-ipo-hk
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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。.
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caijing-valuation
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