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/lean-framework-pipelinenpx skills add Travisun/Opptrix --skill lean-framework-pipelinegit 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-framework-pipeline)<a href="https://agentmods.dev/skills/travisun/opptrix/lean-framework-pipeline"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-framework-pipeline.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 5.1 | $0.00097 | $0.01696 |
| Opus 5 | $0.00048 | $0.00848 |
| Sonnet 5 | $0.00019 | $0.00339 |
| Haiku 4.5 | $0.00010 | $0.00170 |
Grade A, and why
lean-framework-pipeline 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 2d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LEAN 框架流水线
方法溯源 QuantConnect LEAN Algorithm Framework（Universe → Alpha → Portfolio Construction → Risk Management → Execution）。本技能是分层导航与路由图，禁止假装跑完整 LEAN 引擎，也禁止在本技能内模拟 Execution 成交。
何时使用
用户想理解「LEAN 式流水线各层做什么」（默认 CN / A股与场内 ETF）或要把问题路由到对应 lean-* 技能（LEAN 方法溯源，非美股原版照搬）。
边界：具体指标用 @skill:lean-indicator-playbook；均线/RSI/动量用 @skill:lean-ma-cross-trend / @skill:lean-rsi-reversion / @skill:lean-returns-momentum；组合权重用 @skill:lean-equal-weight-pcm / @skill:lean-mean-variance / @skill:lean-risk-parity；回撤规则用 @skill:lean-drawdown-risk；通用宇宙筛选用 @skill:universe-screen。本技能只做导航，不在本层硬算信号或权重。默认交付网页路由图。
A股适配（默认）
- 导航图须注明：默认 CN 适配层（Universe/Alpha/PCM/Risk 路由到的 lean-* 均按 A股微观结构解读）。
- Execution 仍 Must-skip；且 A股还有涨跌停、T+1、融券限制，不得按美股可自由做空假设路由「多空执行」。
- 用户点名美股策略时再声明切换。
- 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：用户目标落在 Framework 哪一层？应激活哪条 lean-*？
- 证据清单：用户意图描述（事实输入）、层映射表（方法假设）、推荐技能路径（推断）
- 多维交叉验证：一层一事；禁止把 Exec 层当成可交易建议
- 结论与不确定：平台能力 ≠ LEAN Runtime 对等
- 风险与缺口：意图模糊时先 ask_user
- 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
Exec 层 Must-skip（硬性）
| 层 | 含义 | 本平台映射 | 动作 |
|---|---|---|---|
| Universe | 选股宇宙 | @skill:lean-ema-cross-universe / @skill:universe-screen |
可路由 |
| Alpha | 信号/洞察 | @skill:lean-indicator-playbook / @skill:lean-ma-cross-trend / @skill:lean-rsi-reversion / @skill:lean-returns-momentum / @skill:lean-etf-ibs-reversion / @skill:instrument-signals |
可路由 |
| Portfolio Construction | 组合权重 | @skill:lean-equal-weight-pcm / @skill:lean-mean-variance / @skill:lean-risk-parity / @skill:lean-etf-global-rotation |
可路由 |
| Risk | 风控 | @skill:lean-drawdown-risk / @skill:stress-test |
可路由 |
| Execution | 下单/成交/滑点撮合 | 无对等「实盘执行」技能 | Must-skip：只说明跳过原因；可指向 @skill:execution-cost（成本估算）或 @skill:rebalance（方案差额，非下单） |
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 用户目标 | 对话 / ask_user |
先澄清层 |
| 层映射 | 本技能内置表 | — |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
| 默认CN适配层 | 路由至各 lean-* 的 CN 专节 | — |
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.
- 2d ago First seen · 95 lines · 97 tokens per session scan A d1f9e4bb31ec
lean-framework-pipeline is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed today), licensed Apache-2.0. It adds 97 tokens to every session and 1,696 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
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。.
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。.
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-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。.