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 watchlist-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/watchlist-digest)<a href="https://agentmods.dev/skills/travisun/opptrix/watchlist-digest"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/watchlist-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/watchlist-digest"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/watchlist-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 | $0.00057 | $0.00852 |
| Opus 5 | $0.00028 | $0.00426 |
| Sonnet 5 | $0.00011 | $0.00170 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
watchlist-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
关注列表摘要
何时使用
用户要对自己的 关注/自选池 做行情与资讯要点摘要，而非全市场早报或论点跟踪板。边界：vs @skill:morning-market-brief——早报面向大盘与板块；本技能 只覆盖关注池。vs @skill:thesis-tracker——跟踪论点状态而非池内涨跌摘要。vs @skill:portfolio-review——复盘可含持仓结构诊断；本技能偏 池内速览。
分析架构（投研方法）
- 问题/假设：关注池今日/本期哪些变动值得注意？资讯是否触及池内标的？
- 证据清单：关注列表、批量快照、逐只或抽样资讯
- 多维交叉验证：涨跌幅极值 vs 资讯催化；空池与拉取失败分开处理
- 结论与不确定：行情为事实；「值得关注」排序为推断
- 风险与缺口：空列表、快照部分失败
- 事实 | 假设 | 推断 分栏强制
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 关注列表 | get_watchlist |
空态说明如何添加自选 |
| 行情 | batch_instrument_snapshots |
标明失败代码 |
| 资讯 | get_instrument_news（抽样/按异动优先） |
仅行情表 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
get_watchlist；空则交付空态页并结束主分析。- 批量快照；排序涨跌与异动。
- 对异动/用户点名标的补资讯。
- 事实 | 假设 | 推断 分栏写要点。
- 交付网页（默认）：
list_web_vendor→create_web；已有则read_web/update_web。
网页报告建议目录
- 关注池范围与时效
- 行情速览表
- 异动与资讯要点
- 事实 | 假设 | 推断分栏
- 数据缺口（失败代码）
- 免责声明（无买卖建议；非全市场早报）
禁止
- 扩展成全市场早报（应转 morning-market-brief）
- 荐股；编造关注池外标的冒充自选
- 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）
- assumption / not-feasible 须诚实降级
- 禁止把论点看板需求做成纯涨跌表（应转 thesis-tracker）
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 · 65 lines · 57 tokens per session scan A 446807bb8e11
watchlist-digest is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 57 tokens to every session and 852 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.