SenseNova-Skills is a collection of modular skills that extend SenseNova models with office-assistant capabilities such as image generation, presentation creation, spreadsheet analysis, and research. The skills are designed for use in agent runtimes and can be combined into productivity workflows; the catalogue entries are individual skills and agents from this collection.
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 OpenSenseNova/SenseNova-Skills --skill sn-search-financegit clone --depth 1 https://github.com/OpenSenseNova/SenseNova-SkillsWrote 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/opensensenova/sensenova-skills/sn-search-finance)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-search-finance"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-search-finance/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/opensensenova/sensenova-skills/sn-search-finance"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-search-finance.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 | $0.01421 |
| Opus 5 | $0.00028 | $0.00711 |
| Sonnet 5 | $0.00011 | $0.00284 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
sn-search-finance 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 9d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
金融财经搜索
凭证配置
API key、token 与 cookie 统一建议写在仓库根目录 .env（参考 .env.example），并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证；不要把真实密钥写入 skill payload、报告、日志或提交。
用于证券、指数、基金、财务报表、行情、K 线、公告线索、财经新闻和公司基本面的检索。API 脚本和 browser-use 可以混合使用；按任务需要选择，不设固定优先级。
工作流
- 先确认市场和标的：A 股/港股/美股/全球 ticker、公司名、证券代码、时间区间、需要的数据口径。
- 结构化数据用
scripts/finance_search.py：yfinance 查全球 ticker、行情、财务、新闻、SEC filings；mootdx 查通达信/A 股行情、K 线、财务包。 - 需要页面证据、新闻正文、交互筛选、图表核对、脚本失败或字段缺失时，用 browser-use 打开 Yahoo Finance、交易所、上市公司 IR、公告页或搜索结果页交叉核对。
- 输出结论时保留 ticker/证券代码、市场、数据区间、指标口径和来源 URL；不要把脚本结果当作投资建议。
- 遇到登录墙、验证码、付费墙、商业授权、异常限流或禁止用途提示时停止该来源，改用可公开访问的页面或说明无法取得。
API 脚本
脚本：scripts/finance_search.py。输出 JSON。依赖按命令懒加载。
首次运行或脚本提示缺库时，使用本技能的依赖清单安装到当前 Python 环境：
python3 -m pip install -r requirements.txt
不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用，停止使用对应命令并改用公开网页来源，说明缺少依赖。
yfinance
Yahoo Finance 代码后缀：美股直接用 AAPL；港股可用 0700.HK；A 股可用 600036.SH、600036.SS、000001.SZ，脚本会把 .SH 自动转成 .SS。不想自动转换时加 --no-normalize。
python scripts/finance_search.py yf-search "Tesla" --limit 5 --news-count 5
python scripts/finance_search.py yf-lookup "Tencent" --type stock --limit 10
python scripts/finance_search.py yf-profile AAPL --fields longName,sector,industry,marketCap,currentPrice,trailingPE
python scripts/finance_search.py yf-history AAPL --period 6mo --interval 1d --limit 120
python scripts/finance_search.py yf-download AAPL MSFT NVDA --period 1mo --interval 1d --group-by ticker
python scripts/finance_search.py yf-financials MSFT --statement income --freq yearly
python scripts/finance_search.py yf-financials MSFT --statement balance --freq quarterly
python scripts/finance_search.py yf-news TSLA --limit 8
python scripts/finance_search.py yf-sec-filings AAPL
常用命令：
| 命令 | 用途 |
|---|---|
yf-search |
搜公司、ticker、新闻和研究入口 |
yf-lookup |
按金融工具类型查找股票、ETF、指数、基金、期货、外汇、加密资产 |
yf-profile |
基本面画像和 fast_info |
yf-history / yf-download |
单标的或多标的历史行情 |
yf-financials |
利润表、资产负债表、现金流、盈利数据 |
yf-news |
ticker 相关新闻线索 |
yf-sec-filings |
SEC filings 线索 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 89 lines · 57 tokens per session scan A 21b89ef5efee
sn-search-finance is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 1,421 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
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stock-announcements
A tool guide for fetching official announcements from companies listed on China’s A-share stock markets.
stock-explorer
A Yahoo Finance (yfinance) powered financial analysis tool. Get real-time quotes, generate technical indicator reports (RSI/MACD/Bollinger/VWAP/ATR), summarize fundamentals, and run a one-shot report that outputs a text summary.
Total_Fees_Calculation
Skill for computing total payment processing fees for a merchant over a specific day, date range, or month in the dabstep dataset. Use this skill whenever the question asks for "total fees", "fees paid", or "fees charged" for a merchant over some time period. The computation requires matching each transaction to a fee…
applicable-fee-ids
Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which merchants are affected by fee Z", or any query involving…
Dataset_Metadata_and_Business_Rules
Answers questions about the structure, metadata, field definitions, and business rules of the dabstep payment processing dataset. Use this skill when questions ask about: column names, field meanings, fee rule structure, which factors affect fees, fee formula, boolean factor effects on cost, volume/fraud/capture-delay…