← 返回 Skills 市场
Quant Data Platform
作者
jason-aka-chen
· GitHub ↗
· v1.0.0
· MIT-0
140
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install quant-data-platform
功能描述
Comprehensive quantitative data platform for A-share market. Real-time quotes, historical data, alternative data (sentiment, news, fundamentals), factor data...
安全使用建议
This skill appears to do what it claims: provide A‑share real‑time and historical data using tushare/akshare. Before installing, consider: 1) Provide a TUSHARE_TOKEN if you want real data — the SKILL.md shows this but the registry metadata does not list it; verify you have a valid token and store it securely (not committed to code). 2) The skill will create and write cache files under ~/.quant_data/cache — if you prefer isolation, run it in a virtualenv or container and/or change cache_dir. 3) The pip packages recommended are common, but review and pin versions before installing into production. 4) The skill source and homepage are unknown; if you need higher assurance, review the full quant_data.py file yourself or request the maintainer/source provenance. If you accept those caveats, the skill is internally consistent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: quant-data-platform
Version: 1.0.0
The skill bundle provides a legitimate framework for a quantitative data platform targeting the Chinese A-share market. The implementation in `quant_data.py` uses standard libraries (Tushare, Akshare) and includes typical features like in-memory caching and mock data generation for testing, with no evidence of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
The name/description (quant data for A‑share) aligns with the included code and the recommended dependencies (tushare, akshare, pandas, numpy). However, SKILL.md demonstrates use of a TUSHARE_TOKEN while the registry metadata lists no required environment variables — this is an inconsistency that should be clarified (the platform does legitimately use a Tushare token).
Instruction Scope
The SKILL.md instructions stick to data acquisition, caching, and usage examples. They instruct installing tushare/akshare and optionally exporting TUSHARE_TOKEN. The instructions do not ask the agent to read unrelated system files or send data to unknown external endpoints. They do recommend creating/using a cache directory in the user's home (~/.quant_data/cache), which means data and cached files will be written to disk.
Install Mechanism
There is no automated install spec in the registry (instruction-only), and SKILL.md simply recommends pip installing well-known Python packages (tushare, akshare, pandas, numpy). This is a low-risk, common install pattern. No downloads from untrusted URLs or obscure installers are present.
Credentials
The code and documentation expect an optional/required TUSHARE_TOKEN (and use os.getenv to read it). The registry metadata did not declare required env vars or a primary credential — this mismatch should be corrected. The skill creates a cache directory in the user's home (~/.quant_data/cache), so it will write files to disk. No other secret or unrelated credential access is requested.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system-wide settings. It runs with normal agent invocation privileges. Creating its own cache directory is standard for this type of tool and not elevated privilege.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install quant-data-platform - 安装完成后，直接呼叫该 Skill 的名称或使用
/quant-data-platform触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of quant-data-platform.
- Provides comprehensive quantitative data platform for the Chinese A-share market.
- Supports real-time quotes, historical K-line and minute data, tick data, and order book.
- Delivers alternative data including sentiment analysis, news, fundamentals, insider trading, and short interest.
- Offers a wide range of technical, fundamental, alternative, and custom factor data.
- Implements robust data quality monitoring for completeness, accuracy, timeliness, and consistency.
- Includes sample usage, API reference, data sources, caching strategy, and rate limiting details.
元数据
常见问题
Quant Data Platform 是什么？
Comprehensive quantitative data platform for A-share market. Real-time quotes, historical data, alternative data (sentiment, news, fundamentals), factor data... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 140 次。
如何安装 Quant Data Platform？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quant-data-platform」即可一键安装，无需额外配置。
Quant Data Platform 是免费的吗？
是的，Quant Data Platform 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Quant Data Platform 支持哪些平台？
Quant Data Platform 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Quant Data Platform？
由 jason-aka-chen（@jason-aka-chen）开发并维护，当前版本 v1.0.0。
推荐 Skills