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-market-cngit 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-market-cn)<a href="https://agentmods.dev/skills/opensensenova/sensenova-skills/sn-search-market-cn"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-search-market-cn/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-market-cn"><img src="https://agentmods.dev/badge/skills/opensensenova/sensenova-skills/sn-search-market-cn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 48 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 52 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 67 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00056 | $0.01814 |
| Opus 5 | $0.00028 | $0.00907 |
| Sonnet 5 | $0.00011 | $0.00363 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
sn-search-market-cn 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
中国市场商业搜索
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。
只使用本技能列出的中国官方免费资源。不要补充表外资源；遇到注册、登录、验证码、授权码、API key、OAuth、数字签名对接、商业试用、付费墙、访问防护或加密货币数据，立即放弃该资源。
工作流
- 明确研究对象：行业、公司、地区、时间段、指标口径和需要的证据类型。
- A 股公告、年报、季报、问询函先用 API 脚本；脚本拿不到再用 browser-use 打开巨潮页面。
- 其它资源统一用 browser-use 正常访问网页，通过站内搜索、栏目导航、筛选器和公开下载文件取数。
- 宏观、监管、招投标、采购、行业运行数据优先引用官方页面或官方文件链接；结论中保留来源 URL、指标口径和时间范围。
- 不绕过验证码、防护页、登录墙、签名接口或授权申请；不要采集个人敏感信息。
API 脚本
脚本：scripts/free_market_api.py。只依赖 Python 标准库。
可用接口：
| 命令 | 来源 | 适合用途 |
|---|---|---|
cninfo-announcements |
巨潮资讯公告查询接口 | A 股公告、年报、季报、问询函、招股书线索 |
示例：
python scripts/free_market_api.py cninfo-announcements --keyword 年报 --start-date 2026-01-01 --end-date 2026-05-18 --page-size 5
python scripts/free_market_api.py cninfo-announcements --keyword 业绩说明会 --page-size 10
python scripts/free_market_api.py cninfo-announcements --keyword 问询函 --start-date 2026-04-01 --end-date 2026-05-18
输出 JSON 中的 data.announcements[].pdfUrl 是公告 PDF 地址，可直接作为引用或交给 browser-use 打开核对原文。
Browser-use 资源
以下资源没有可直接使用的免 key API，或接口需要签名/授权；统一用 browser-use 访问网页。
| 场景 | 资源 | URL | 用法 |
|---|---|---|---|
| 宏观经济 | 国家统计局国家数据 | https://data.stats.gov.cn/ | GDP、CPI、PPI、PMI、工业、社零、固定资产投资、房地产、人口、就业 |
| 宏观经济 | 国家统计局官网 | https://www.stats.gov.cn/ | 统计公报、月度/年度统计、专题数据、新闻发布稿 |
| 金融货币 | 中国人民银行调查统计 | https://www.pbc.gov.cn/diaochatongjisi/116219/index.html | M2、社融、贷款、利率、金融统计报告 |
| 外汇 | 国家外汇管理局统计数据 | https://www.safe.gov.cn/safe/tjsj1/index.html | 外储、汇率、国际收支、结售汇、跨境收支 |
| 商贸 | 商务部商务数据中心 | https://data.mofcom.gov.cn/index.shtml | 国内贸易、外资、ODI、服务贸易、商品市场 |
| 政府采购 | 中国政府采购网 | https://www.ccgp.gov.cn/xxgg/ | 采购公告、中标公告、预算金额、供应商、采购人 |
| 招投标 | 全国公共资源交易平台 | https://www.ggzy.gov.cn/ | 工程建设、政府采购、土地矿权、产权交易 |
| 信用风控 | 信用中国 | https://www.creditchina.gov.cn/ | 行政处罚、失信、信用承诺、信用信息公示 |
| 司法风险 | 中国执行信息公开网 | http://zxgk.court.gov.cn/ | 被执行人、失信被执行人、限制消费线索 |
| 破产风险 | 全国企业破产重整案件信息网 | https://pccz.court.gov.cn/ | 破产、重整、清算案件和招募投资人信息 |
| 上市公司 | 巨潮资讯 | https://www.cninfo.com.cn/new/index | A 股公告、年报、季报、招股书、问询函；优先用脚本 |
| 证券交易所 | 上海证券交易所 | https://www.sse.com.cn/ | 沪市公告、监管信息、上市公司、债券、基金、市场数据 |
| 证券交易所 | 深圳证券交易所 | https://www.szse.cn/ | 深市公告、监管信息、上市公司、市场数据 |
| 证券交易所 | 北京证券交易所 | https://www.bse.cn/ | 北交所公告、上市公司、市场统计 |
| 证券监管 | 中国证监会 | https://www.csrc.gov.cn/ | 监管政策、处罚、IPO、基金、证券期货统计 |
| 知识产权 | 国家知识产权局 | https://www.cnipa.gov.cn/ | 专利、商标、地理标志、知识产权政策 |
| 知识产权 | 专利检索及分析系统介绍 | https://www.cnipa.gov.cn/art/2023/2/13/art_3166_182074.html | 专利检索入口说明、技术路线和竞品研发趋势线索 |
| 医疗器械 | NMPA 医疗器械 UDI 数据共享 | https://udi.nmpa.gov.cn/toDetail.html?CatalogId=3&infoId=40 | 只用页面查询/数据下载；不要申请或使用接口授权码 |
| 医保 | 国家医保局 | https://www.nhsa.gov.cn/ | 医保目录、集采、支付标准、医保政策 |
| 农业 | 农业农村部数据平台 | https://data.moa.gov.cn/ | 农产品价格、农业生产、畜牧、水产、市场监测 |
| 交通物流 | 交通运输部数据 | https://www.mot.gov.cn/shuju/ | 货运、客运、港口吞吐量、公路水路运输 |
| 快递物流 | 国家邮政局 | https://www.spb.gov.cn/ | 快递业务量、业务收入、区域结构 |
| 民航 | 中国民航局 | https://www.caac.gov.cn/ | 旅客吞吐量、货邮吞吐量、航班、机场统计 |
| 能源 | 国家能源局 | https://www.nea.gov.cn/ | 电力、煤炭、油气、新能源、能源政策 |
| 环境 | 生态环境部环境质量 | https://www.mee.gov.cn/hjzl/ | 空气质量、水质、生态环境公报、环保监管 |
| 电力 | 中国电力企业联合会 | https://www.cec.org.cn/ | 发电量、用电量、电力行业运行、行业指数 |
| 工业运行 | 工业和信息化部 | https://www.miit.gov.cn/ | 工业经济、通信业、软件业、中小企业、政策 |
What ships with it
1 file 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 · 82 lines · 56 tokens per session scan A bf201deff6dc
sn-search-market-cn is a skill published in the GitHub repository OpenSenseNova/SenseNova-Skills (5,570 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 1,814 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.
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