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Stock Review
作者
cnxufei-tech
· GitHub ↗
· v1.0.0
831
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0
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10
当前安装
1
版本数
在 OpenClaw 中安装
/install stock-review
功能描述
Provides daily A-share market review with data on top traders, sector limits, fund flows, streaks, sentiment, and next-day strategies.
安全使用建议
Before installing, ask the skill author to explain how Feishu delivery is authenticated — which env var or webhook URL is required and where it will be stored. Confirm whether the agent's built-in web_fetch will be used for scraping and whether scraping those sites complies with their terms/rate limits. If you plan to enable automatic push to Feishu, prefer supplying a scoped webhook (not broad account credentials), test the skill in a sandbox account, and require the skill explicitly declare which environment variables it will use to avoid silent credential use.
功能分析
Type: OpenClaw Skill
Name: stock-review
Version: 1.0.0
The skill bundle describes a financial analysis tool that fetches public stock market data from specified financial websites (Eastmoney, Sina Finance, Xueqiu) using a built-in `web_fetch` tool. It generates a Markdown report and can push it to Feishu. The `SKILL.md` instructions are clear, align with the stated purpose, and do not contain any directives for the agent to perform malicious actions such as data exfiltration of sensitive local files, arbitrary command execution, or unauthorized network activity beyond fetching public financial data. The scheduled task is a standard feature for such analysis.
能力评估
Purpose & Capability
The skill's purpose (daily A-share review using Eastmoney, Sina, Xueqiu) matches the instructions to fetch web data and generate a Markdown report. However, the SKILL.md says reports 'can be pushed to Feishu' but the skill declares no required credentials, webhooks, or config for Feishu — pushing to Feishu normally requires a token/webhook, so this is an unexplained gap.
Instruction Scope
Instructions direct the agent to fetch data from external websites (东方财富, 新浪财经, 雪球) using a built-in web_fetch tool and to optionally push results to Feishu. The doc does not specify rate-limiting, error handling, or exactly how Feishu delivery is authenticated. The instructions therefore authorize network collection and external transmission without specifying required endpoints/credentials.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest risk for arbitrary code installation. Nothing is written to disk by an installer.
Credentials
No environment variables or credentials are declared, yet the skill implies it will push messages to Feishu. That typically requires a webhook URL or API token (sensitive). The absence of any declared credential is disproportionate to the stated external push capability.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and may run autonomously per platform defaults, which is expected. No modifications to other skills or system-wide settings are described.
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 stock-review - 安装完成后，直接呼叫该 Skill 的名称或使用
/stock-review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 stock-review skill.
- Provides daily A-share market recap analysis, including market movers, sector stats, capital flow, sentiment monitoring, and next-day strategy.
- Supports manual trigger with optional date or automatic daily execution after market close.
- Outputs a Markdown report, suitable for Feishu push.
- Integrates data from Eastmoney, Sina Finance, and optionally Xueqiu.
- No additional configuration required; uses built-in web_fetch tool.
元数据
常见问题
Stock Review 是什么？
Provides daily A-share market review with data on top traders, sector limits, fund flows, streaks, sentiment, and next-day strategies. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 831 次。
如何安装 Stock Review？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-review」即可一键安装，无需额外配置。
Stock Review 是免费的吗？
是的，Stock Review 完全免费（开源免费），可自由下载、安装和使用。
Stock Review 支持哪些平台？
Stock Review 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 Stock Review？
由 cnxufei-tech（@cnxufei-tech）开发并维护，当前版本 v1.0.0。
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