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在 OpenClaw 中安装
/install super-trend-analysis
功能描述
综合趋势分析技能，融合移动平均线、MACD、RSI、布林带等多种技术分析方法，生成趋势判断、买卖信号和可视化图表。使用场景：(1) "分析贵州茅台的趋势"，(2) "生成药明康德的技术分析报告"，(3) "判断当前是买入还是卖出信号"。
安全使用建议
What to consider before installing: (1) This tool runs arbitrary Python code locally and will read any CSV file path you pass (or many CSVs if you run batch), and it writes reports under 'trend_reports' — only run it on datasets you trust. (2) It has no network calls or credential requests, so it won't exfiltrate data by itself, but because it executes Python code you should inspect the scripts (already provided) or run them in a sandbox/virtualenv. (3) The SKILL requires Python libraries (pandas, numpy, matplotlib, seaborn, ta); installing third-party packages can pull additional dependencies — prefer a virtualenv. (4) This is an analysis aid, not investment advice; outputs include a disclaimer. (5) If you need higher assurance, run the scripts in an isolated VM/container and review the code lines that read/write files (load_data, find_csv_files, output path creation).
功能分析
Type: OpenClaw Skill
Name: super-trend-analysis
Version: 1.0.1
The skill bundle is a legitimate stock trend analysis tool that calculates technical indicators (MA, MACD, RSI, Bollinger Bands) from local CSV files. The Python scripts (analyze_trend.py, batch_analyze.py, indicators.py) use standard libraries like pandas and numpy to process data and generate Markdown reports, with no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
The name/description claim a multi-indicator technical analysis tool and the code + SKILL.md implement that: indicators.py computes SMA/EMA/MACD/RSI/Bollinger, analyze_trend.py generates reports, batch_analyze.py processes directories. Required capabilities (pandas/numpy/etc.) are proportional and expected for this purpose. There are no unrelated requirements (no cloud credentials, no unrelated binaries).
Instruction Scope
SKILL.md instructs the agent to run local Python scripts against local CSV files and to optionally generate plots; the actual scripts read CSVs, compute indicators, write markdown reports and CSVs to a local 'trend_reports' directory. There are no instructions to read unrelated system files, access environment secrets, or transmit data externally. Note: the --plot flag is present but plot generation is 'coming soon' in code (prints a placeholder).
Install Mechanism
This is instruction-only (no install spec). Dependencies are standard Python libs installed via 'pip install pandas numpy matplotlib seaborn ta' per SKILL.md — this is expected and traceable. No remote downloads or archive extraction are present in the skill bundle.
Credentials
The skill does not declare or use any environment variables, credentials, or config paths. All file access is limited to CSV inputs provided by the user and the local output directory. No secrets or external service tokens are requested.
Persistence & Privilege
Flags show no 'always' privilege and the skill does not modify other skills or system-wide agent settings. It creates a local output directory for reports (trend_reports) which is appropriate for its function. Autonomous invocation is allowed by default but not unusual for this type of skill.
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 super-trend-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/super-trend-analysis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
v1.0.1
Version 1.0.1 of super-trend-analysis contains no user-visible changes.
- No file changes detected compared to the previous version.
- Features and behavior remain identical to version 1.0.0.
v1.0.0
Initial release of super-trend-analysis:
- Integrates moving averages, MACD, RSI, and Bollinger Bands for comprehensive trend analysis.
- Generates professional trend judgments, trading signals, and visual analysis reports.
- Supports single stock and batch analysis with command-line scripts.
- Outputs detailed Markdown reports and multi-indicator chart images.
- Provides a composite trend scoring system (0–100 scale).
- Includes clear standards for bull/bear/sideways trends and detailed usage instructions.
元数据
常见问题
Super Trend Analysis 是什么？
综合趋势分析技能，融合移动平均线、MACD、RSI、布林带等多种技术分析方法，生成趋势判断、买卖信号和可视化图表。使用场景：(1) "分析贵州茅台的趋势"，(2) "生成药明康德的技术分析报告"，(3) "判断当前是买入还是卖出信号"。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 234 次。
如何安装 Super Trend Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install super-trend-analysis」即可一键安装，无需额外配置。
Super Trend Analysis 是免费的吗？
是的，Super Trend Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Super Trend Analysis 支持哪些平台？
Super Trend Analysis 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 Super Trend Analysis？
由 军舰（@wang-junjian）开发并维护，当前版本 v1.0.1。
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