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在 OpenClaw 中安装
/install toc-trading
功能描述
TOC 股票助手 - AI股神挑战 + 股票分析 + 交易模拟 功能： - AI股神挑战：AI自主选股决策，每日同步操作和收益 - 四大行业分析：AI/消费品/汽车/医疗板块涨跌 - 市场热点：热门概念、板块资金流向 - 股票池：自选股管理 - 持仓模拟：买入/卖出/盈亏计算 - 演练模式：假设交易收益计算 触发...
安全使用建议
This skill appears to implement what it claims: simulated trades, stock-pool, recommendations and simple monitoring using AKShare/Tushare. Before installing: (1) be prepared to allow network access so akshare/tushare can fetch market data; (2) only provide TUSHARE_TOKEN if you need Tushare and trust the skill; (3) inspect the notifier/push code before supplying any Feishu (or other) credentials so you understand what messages will be sent; (4) note that the skill persists JSON files (positions, trades, challenge, stock pool) to the skill's data directory — if you have privacy concerns, review or change that path. If you want extra assurance, review the (truncated) notifier and tushare_client source files to confirm they do not transmit data to unexpected endpoints.
功能分析
Type: OpenClaw Skill
Name: toc-trading
Version: 1.0.0
The 'toc-trading' skill bundle is a comprehensive stock market analysis and trading simulation tool. It utilizes legitimate financial data libraries, AKShare and Tushare, to fetch market data and provides features like a simulated stock pool, position management, and a trading 'challenge' mode. The code is well-structured, stores data locally in JSON files (src/data/), and lacks any indicators of malicious intent, data exfiltration, or unauthorized execution. All functionalities align with the provided documentation (SKILL.md and docs/).
能力评估
Purpose & Capability
Name/description (TOC 股票助手: 分析、推荐、持仓模拟、挑战赛) match the included code and declared dependencies: akshare and tushare are reasonable data sources for A‑share data; optional TUSHARE_TOKEN is declared. The services, parser, storage and monitor modules align with the stated functionality.
Instruction Scope
SKILL.md instructs calling TOCTTrading.process() and describes only market queries, simulation and local storage. The code reads/writes JSON files (stock_pool.json, positions.json, trades.json, challenge.json) and calls akshare/tushare APIs — behaviour consistent with the purpose. No instructions or code paths were found that read unrelated system secrets or reach out to unknown endpoints. Note: monitor and notifier components reference push notifications (Feishu) in docs; however no Feishu credentials are declared in SKILL.md. Review notifier code before providing push credentials.
Install Mechanism
There is no install spec that downloads arbitrary code or runs remote installers — the skill is instruction+source only. The declared Python packages (akshare, tushare) are appropriate and expected. No external/untrusted archive downloads were found.
Credentials
SKILL.md declares a single optional sensitive env var (TUSHARE_TOKEN) which is appropriate for the optional Tushare data source. No other credentials are requested. If you provide other push/notification tokens (Feishu/etc.) those would grant the skill ability to send messages — only provide such secrets if you trust the skill.
Persistence & Privilege
The skill persists user data to JSON files. The storage implementation writes into a data directory relative to the package (src/../data) — code will create and persist files there. Product docs mention a ~/.openclaw/workspace path which is inconsistent with the storage code; confirm desired storage location if you care about where files are written. always:false (no forced global inclusion) and no changes to other skills were detected.
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 toc-trading - 安装完成后，直接呼叫该 Skill 的名称或使用
/toc-trading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
TOC Stock - AI股票助手 v1.0.0 初始版本发布：
- 提供 AI股神挑战、交易模拟、持仓管理、自选股、行业分析等多功能集成。
- 支持通过自然语言命令进行“买入/卖出/挑战/分析/推荐”等操作。
- 集成 AKShare、Tushare 等数据源，覆盖A股公开行情与行业数据。
- 可模拟持仓收益与AI自动选股挑战，适合练习和辅助投资决策。
- 实现模块化服务，便于功能维护和扩展。
元数据
常见问题
Toc Trading 是什么？
TOC 股票助手 - AI股神挑战 + 股票分析 + 交易模拟 功能： - AI股神挑战：AI自主选股决策，每日同步操作和收益 - 四大行业分析：AI/消费品/汽车/医疗板块涨跌 - 市场热点：热门概念、板块资金流向 - 股票池：自选股管理 - 持仓模拟：买入/卖出/盈亏计算 - 演练模式：假设交易收益计算 触发... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 119 次。
如何安装 Toc Trading？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install toc-trading」即可一键安装，无需额外配置。
Toc Trading 是免费的吗？
是的，Toc Trading 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Toc Trading 支持哪些平台？
Toc Trading 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 Toc Trading？
由 wuritu（@wuritu）开发并维护，当前版本 v1.0.0。
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