← 返回 Skills 市场
A股T+0基金5分钟级别买卖监控
作者
newhackerman
· GitHub ↗
· v1.0.0
· MIT-0
193
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install t0-fund-monitor
功能描述
T+0 基金 5 分钟级别实时监控，支持批量代码输入，自动生成买入/卖出信号。 **触发场景：** - "监控基金 XXX" - "开始监控这些代码：xxx, xxx, xxx" - "添加 XXX 到监控列表" - "查看监控信号" - "停止监控 XXX" 支持场内 ETF、跨境 QDII、债券 ETF 等...
安全使用建议
This skill appears to do what it claims (fund monitoring and signal generation). Before installing: 1) Be prepared to install TA-Lib system libraries (install.sh attempts to install TA-Lib but requirements.txt doesn't list it) — run in a VM/container if you want to limit system changes. 2) Review and set notify.dingtalk.webhook and notify.wechat.key only if you trust the destination; those webhooks will receive signal content. 3) The code fetches data from public finance endpoints (sina, qt.gtimg, akshare/eastmoney) — if you need to restrict outbound network access, run it in a sandbox. 4) Consider pinning dependency versions and installing into a virtualenv. 5) Inspect log/data files (~/.openclaw/skills/fund-monitor/data and logs) after first runs to confirm behavior. If you want higher assurance, ask the author to add TA-Lib to requirements.txt or remove the build attempt from install.sh and provide clear installation notes.
功能分析
Type: OpenClaw Skill
Name: t0-fund-monitor
Version: 1.0.0
The fund-monitor skill bundle is a legitimate tool for real-time tracking of T+0 funds and generating trading signals based on technical indicators (MACD, KDJ, RSI). The code is well-structured and its behaviors—including fetching market data from public APIs (Sina, Tencent, EastMoney), managing local configuration/data files in the skill's directory, and providing user-configurable notifications via DingTalk or WeChat—are entirely consistent with its stated purpose. No evidence of data exfiltration, malicious execution, or prompt injection was found across the Python modules (monitor.py, data_fetch.py) or shell scripts.
能力评估
Purpose & Capability
The code, CLI, config, and notifier match the described purpose (real-time fund monitoring, indicator calculation, signal generation, optional webhook notifications). One small mismatch: several modules (indicators.py, health_check.sh) import or reference TA-Lib (talib), but the SKILL metadata and requirements.txt do not list TA-Lib explicitly; install.sh tries to install TA-Lib and falls back to instructions for system packages. This looks like an author oversight rather than malicious intent, but it is a functional inconsistency you should be aware of.
Instruction Scope
SKILL.md and the CLI instructions direct the agent/user to run the included monitor scripts, edit the skill's config, and manage the watchlist. At runtime the code only reads/writes files under the skill directory (~/.openclaw/skills/fund-monitor), fetches market data from public finance endpoints (sina, qt.gtimg, akshare/eastmoney), and sends notifications to user-configured webhooks (DingTalk/WeChat) or terminal. There are no instructions to read unrelated system files or arbitrary environment variables.
Install Mechanism
There is no remote, arbitrary binary download; installation relies on pip installs and an included install.sh. The pip packages are sensible for this use case (akshare, pandas, requests, APScheduler, pyyaml). The install.sh attempts to install TA-Lib which may require system-level libraries (libta-lib-dev) and can fail; it does not download code from obscure hosts. Recommend running install.sh in a controlled environment (or installing dependencies manually) because TA-Lib can be tricky to build.
Credentials
The skill requests no environment variables and declares no credentials. Optional notification webhooks/keys are stored in the skill's config file (config/default.yaml) — that is expected. There are no hidden credential collection steps, and network calls are limited to public market data endpoints and user-configured notification webhooks.
Persistence & Privilege
The skill writes its own files under ~/.openclaw/skills/fund-monitor (config, data, logs), creates a PID file, and runs as a normal user process. always is false and the skill does not modify other skills or system-wide settings. This level of persistence is proportionate for a monitoring tool.
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 t0-fund-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/t0-fund-monitor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
- 初始版本发布，提供 T+0 基金 5 分钟级别实时监控工具
- 支持批量添加、移除、停止和查询基金代码
- 自动根据 MACD、KDJ、成交量等指标生成买入/卖出信号
- 支持场内 ETF、QDII 等多类型 T+0 基金
- 可配置多种通知方式：终端、钉钉、企业微信
- 提供命令行接口和详细使用文档
元数据
常见问题
A股T+0基金5分钟级别买卖监控 是什么？
T+0 基金 5 分钟级别实时监控，支持批量代码输入，自动生成买入/卖出信号。 **触发场景：** - "监控基金 XXX" - "开始监控这些代码：xxx, xxx, xxx" - "添加 XXX 到监控列表" - "查看监控信号" - "停止监控 XXX" 支持场内 ETF、跨境 QDII、债券 ETF 等... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 193 次。
如何安装 A股T+0基金5分钟级别买卖监控？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install t0-fund-monitor」即可一键安装，无需额外配置。
A股T+0基金5分钟级别买卖监控 是免费的吗？
是的，A股T+0基金5分钟级别买卖监控 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
A股T+0基金5分钟级别买卖监控 支持哪些平台？
A股T+0基金5分钟级别买卖监控 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 A股T+0基金5分钟级别买卖监控？
由 newhackerman（@newhackerman）开发并维护，当前版本 v1.0.0。
推荐 Skills