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 theme-policy-mapgit 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/theme-policy-map)<a href="https://agentmods.dev/skills/travisun/opptrix/theme-policy-map"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/theme-policy-map/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/theme-policy-map"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/theme-policy-map.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 | $0.00055 | $0.00737 |
| Opus 5 | $0.00028 | $0.00368 |
| Sonnet 5 | $0.00011 | $0.00147 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
theme-policy-map 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
主题政策地图
何时使用
用户要把政策/主题叙事映射到相关板块与标的观察名单。
vs @skill:industry-chain：产业链技能画上下游结构；本技能画政策主题 → 板块/标的映射，不替代产业链节点图。
分析架构（投研方法）
- 问题/假设：政策文本提到的方向对应哪些可观察板块/标的？
- 证据清单：资讯/公告、板块列表与成分、市场动态
- 多维交叉验证：政策表述 vs 板块涨跌；主题热度 vs 基本面（若有）
- 事实 | 假设 | 推断 分栏：政策原文为事实；映射关系多为假设/推断
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 主题确认 | ask_user |
先确认政策文本/主题名 |
| 资讯公告 | list_news_articles / get_news_article / get_instrument_notices |
标明无来源则拒绝编造 |
| 板块 | get_sector_list / get_sector_constituents |
用用户清单 |
| 市场 | get_market_dynamics |
可省略 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
步骤
- 确认主题与政策来源（须可引用）。
- 抽取政策要点 → 映射板块/标的（映射标为假设）。
- 对照市场表现；与产业链技能分工写清。
- 交付网页（默认）：地图/表；见
@skill:create-web。
网页报告建议目录
- 主题、来源与和产业链的分工说明
- 政策要点（引用）
- 主题 → 板块/标的映射表
- 市场对照
- 事实 / 假设 / 推断分栏
- 免责声明
禁止
- 无来源编造「国家已定调XX」
- 把映射名单写成荐股池
- 用产业链上下游图冒充本技能交付
- 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 · 64 lines · 55 tokens per session scan A 0c911747aeaa
theme-policy-map is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 55 tokens to every session and 737 once invoked, about $0.0003 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.