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 news-digestgit 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/news-digest)<a href="https://agentmods.dev/skills/travisun/opptrix/news-digest"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/news-digest/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/news-digest"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/news-digest.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 | $0.00079 | $0.00797 |
| Opus 5 | $0.00039 | $0.00398 |
| Sonnet 5 | $0.00016 | $0.00159 |
| Haiku 4.5 | $0.00008 | $0.00080 |
Grade A, and why
news-digest 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
资讯 / 公告摘要
何时使用
用户要近期资讯或个股公告的要点摘要(不是完整个股尽调,也不是市场早报栏目全集)。默认交付可预览网页。
分析架构(投研方法)
- 问题/假设:哪些信息可能影响指定标的/主题的预期?
- 证据清单:资讯列表、正文要点、个股公告原文可核对字段
- 多维交叉验证:多源标题是否互相印证;公告事实 vs 媒体转述
- 结论与不确定:按重要性排序;传闻与未证实信息单独标注
- 风险与缺口:缺正文、付费墙、延迟
- 事实与推断必须分开:标题/披露日期为事实;「利好/利空」为推断
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 资讯列表 | list_news_articles |
说明无可用条目 |
| 正文深读 | get_news_article(关键 3–8 条) |
仅保留标题级摘要 |
| 个股公告 | get_instrument_notices |
跳过公告章 |
| 交付 | list_web_vendor → create_web |
用户明确只要口头要点时可跳过 |
步骤
- 确认范围:全市场 / 主题 / 标的。
- 按维度取数:列表 → 深读关键条 → 按需公告。
- 交叉验证与结构化结论:时间线 + 相关性(推断标注)+ 信息缺口。
- 交付网页(默认):
list_web_vendor→create_web;已有则read_web/update_web。 - 备选:用户点名画布 / 结构图时改用对应工具。
网页报告建议目录
- 范围与时间窗
- 要点时间线(3–8 条)
- 与标的/主题的相关性(推断标注)
- 待核实与信息缺口
- 免责声明(无荐股)
禁止
- 荐股;把传闻写成已确认事实
- 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)
- 用早报技能冒充本技能(全市场开市简报转
@skill:morning-market-brief)
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 · 62 lines · 79 tokens per session scan A 71fc82d89df6
news-digest is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 79 tokens to every session and 797 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-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.