According to AlphaMoat, as of 2026-09, 监管最新动态追踪(金融监管总局、证监会、央行) has 1,977 downloads and 5 stars — ranked #4,443 of 5,078 AI skills overall, and #343 of 399 in Data Analysis.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 30 | 1.2K | 1 | - |
| SkillHub ↗ | 346 | 2.0K | 5 | — |
Platforms count differently and update at different times.
Using requests and beautifulsoup4, it collects policies, penalties, announcements and risk alerts for selected NFRA, CSRC or PBOC sources and a lookback period. Output is Markdown or plain text with titles, dates, official links and attachments. Verify actual coverage and official pages; install dependencies in a non-privileged virtual environment. The metadata claims Word support, while the detailed workflow shows Markdown output; verify Word export before relying on it.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.0K | — | 5 |
| 2026-08 | 1.6K | +11.2% | 5 |
| 2026-07 | 1.4K | +21.6% | 4 |
| 2026-06 | 1.2K | +17.7% | 3 |
| 2026-05 | 989 | — | 2 |
| 2026-03 | 547 | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: regulation-monitor description: "监控中国金融监管机构网站(国家金融监管总局NFRA、证监会CSRC、央行PBOC等),抓取最新监管政策、行政处罚、通知公告、风险提示等内容,并以标题+摘要格式输出,支持Word和纯文本。当用户说\"帮我看看最新的监管动态\"、\"查一下最新监管政策\"、\"有没有新的处罚案例\"、\"监管有什么新动态\"、\"看看NFRA/证监会/央行最新发布了什么\"时,必须使用此Skill。即使用户只是问\"最近有什么监管新闻\",也应优先触发此Skill。" --- # 监管动态追踪 Skill 帮助用户追踪中国主要金融监管机构的最新动态,包括政策法规、行政处罚、通知公告和风险提示,并整理输出结构化摘要。 ---
## 前置依赖 `scripts/crawler.py` 依赖以下第三方 Python 包,首次使用前需安装: ```bash pip install requests beautifulsoup4 ``` | 包名 | 用途 | |------|------| | `requests` | 发送 HTTP 请求,抓取监管机构网页 | | `beautifulsoup4` | 解析 HTML 页面,提取标题、日期、正文等字段 | --- ## 执行流程 ### Step 1:抓取网页内容 使用 `scripts/crawler.py` 获取目标页面内容。脚本支持指定监管机构(`--regulator`)和回溯天数(`--days`)。 **监管机构参数说明:** - `nfra`: 国家金融监督管理总局 - `csrc`: 证监会 - `pboc`: 央行 - `all`: 所有机构(默认值) **执行示例:** ```bash # 抓取所有机构最近 14 天的动态 python scripts/crawler.py --days 14 # 抓取所有机构最近 14 天的动态(明确指定 all) python scripts/crawler.py --regulator all --days 14 # 仅抓取监管总局最近 14 天的动态 python scripts/crawler.py --regulator nfra --days 14 # 仅抓取证监会最近 14 天的动态 python scripts/crawler.py --regulator csrc --days 14 # 仅抓取央行最近 14 天的动态 python scripts/crawler.py --regulator pboc --days 14 ``` ### Step 2:处理正文内容 对 Step 1 输出的每条动态: - 如果包含「📖 正文内容」字段,对该正文进行总结,提炼核心要点(3~5条要点,每条不超过50字) - 如果只有「📝 摘要」字段,直接使用摘要 ### Step 3:结构化输出 用 **Markdown 格式**输出,确保链接可点击。按以下格式输出每条动态: ```markdown ## [📌 标题文字](原文链接) 📅 **日期:** YYYY-MM-DD 📝 **要点:** - 要点1 - 要点2 - 要点3 📎 **附件:** [PDF 下载](pdf链接) | [DOC 下载](doc链接) --- ``` 所有动态输出完毕后,最后用 2~3 句话给出整体趋势判断。
The data layer for AdMapix: turn ad and app queries into API calls that return raw JSON only.
Searches the public web through Tavily and returns structured results with links and snippets.
A data-analysis skill that turns databases, spreadsheets, and raw exports into decision-ready conclusions.
A skill that analyzes stocks and cryptocurrencies on Yahoo Finance data and tracks a portfolio.
Manages a local stock watchlist and summarizes recent quotes for its codes from the Tonghuashun stock pages.
全网招中标数据查询与分析助手。当用户涉及以下任何场景时,必须使用此SKILL:查询招标/中标公告、搜索标讯、查找临期/即将到期项目、商机预测、推荐潜在投标供应商、分析公司主营业务/历史中标、查询公司上下游合作客户与供应商、分析竞争对手/竞对企业、查询Top采购单位/Top中标单位/Top中标品牌、招中标数据统计分析(按月/季/年/省份/品牌等维度)、查询品牌型号历史中标单价/价格趋势、市场分析/行业分析/采购寻源/渠道拓展等采购与投标相关场景。即使用户没有提到「知了标讯」,只要涉及招投标、采购、中标、供应商、竞争对手等关键词,都应使用本SKILL。
Track blog and RSS/Atom feed updates from the command line.
Summarises per-model usage cost for Codex or Claude.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.