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-sentiment-nlpgit 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-sentiment-nlp)<a href="https://agentmods.dev/skills/travisun/opptrix/lean-sentiment-nlp"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-sentiment-nlp/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-sentiment-nlp"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/lean-sentiment-nlp.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 | $0.00089 | $0.01375 |
| Opus 5 | $0.00044 | $0.00687 |
| Sonnet 5 | $0.00018 | $0.00275 |
| Haiku 4.5 | $0.00009 | $0.00137 |
Grade A, and why
lean-sentiment-nlp 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
LEAN 情绪文本
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）。
能力声明（assumption-only）：本地无机构情绪数据库/商用 NLP 情绪指数。标注为模型启发式或规则打分，须标 assumption-only。禁止假装已接入卖方情绪库、社交媒体情绪终端或 LEAN 情绪数据源。
何时使用
用户要对 A股可得新闻/公告文本做启发式情绪/主题标注与时间线（LEAN 方法溯源，非美股原版照搬）。默认交付可预览网页。
边界：资讯摘要用 @skill:news-digest；公告精读用 @skill:announcement-deepread。本技能强调文本情绪假设框架。
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。
- 默认语料：中文公告 / 资讯（平台可得新闻与公告工具）；美股英文 10-K/Twitter 类语料仅用户点名。
- 情绪≠交易信号；涨跌停日情绪与可交易性脱节须注明。
- 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：样本文本的正/负/中性分布与主题如何？
- 证据清单：新闻/公告原文要点、标注表、时间线
- 多维交叉验证：多来源是否同向；标题 vs 正文
- 结论与不确定：启发式标注≠机构情绪指数
- 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 | search_instruments / ask_user |
可做主题不绑标的 |
| 文本 | list_news_articles / get_news_article / get_instrument_notices |
无文本则 not-feasible |
| 标注 | 模型启发式 + 可选 opptrix_run 计数 |
人工抽样并标假设 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
| A股中文语料 | 中文公告/资讯文本 | 无文本 → not-feasible / ask_user |
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）。
- 能力横幅：无机构情绪库
- 拉取文本并抽样：时效与来源
- 启发式标注与统计：主题时间线
- 分栏结论：禁止因情绪荐股
- 交付网页（默认）：
create_web
网页报告建议目录
- 范围：默认 A股/场内 ETF + LEAN 溯源；非机构情绪库
- LEAN 溯源与「非引擎」声明
- 样本与来源时效
- 情绪/主题标注表
- 时间线与分布
- 事实 / 假设 / 推断分栏
- 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）
禁止
- 荐股、目标价、仓位建议；编造未返回数字
- 假装机构情绪库、社交媒体情绪终端或官方情绪指数
- 把启发式分数写成「市场情绪金标准」
- 禁止假装跑完整 LEAN 引擎或伪造 LEAN 日志/回测净值
- 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）
- 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 · 85 lines · 89 tokens per session scan A 9c0294736ea3
lean-sentiment-nlp is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 89 tokens to every session and 1,375 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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