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在 OpenClaw 中安装
/install openclaw-tradingview-quant
功能描述
Professional quantitative investment analysis frameworks and methodologies based on TradingView data structures. Use when users ask about stock analysis, tec...
安全使用建议
This skill appears to be a documentation-rich, instruction-only toolkit for TradingView-style analysis and is not actively installing code. However: 1) Do not assume live data access is available out-of-the-box — the README/SECURITY docs refer to RapidAPI and a RAPIDAPI_KEY even though the skill metadata doesn't declare required env vars; verify whether you'll need to provide a RapidAPI key and how you'll store it (use environment variables or a secrets manager, not chat). 2) Confirm billing, rate limits and trustworthiness of the referenced RapidAPI provider (tradingview-data1.p.rapidapi.com) before enabling live queries. 3) Avoid pasting any real API keys or private credentials into conversational prompts; instead configure them in your agent's secure settings. 4) The skill's content warns about prompt-injection in news data (good), but if you plan to run autonomous agents that fetch external data, monitor API usage and permissions. If the developer can update the skill metadata to declare RAPIDAPI_KEY (or explicitly mark real-time data as optional) and remove contradictory 'no API keys needed' claims, that will resolve the primary coherence concern.
功能分析
Type: OpenClaw Skill
Name: openclaw-tradingview-quant
Version: 0.1.1
The openclaw-tradingview-quant skill bundle is a comprehensive framework for quantitative investment analysis. It provides the AI agent with detailed methodologies for technical analysis, risk management, and market screening based on TradingView data structures. The bundle includes explicit security instructions in SKILL.md to protect the agent against prompt injection from external news sources. All code snippets provided in the reference files (e.g., pattern-library.md, risk-management.md) are for calculation logic and analysis rather than system-level execution. No indicators of data exfiltration, malicious execution, or unauthorized persistence were found.
能力评估
Purpose & Capability
The skill is an instruction-only quantitative analysis framework based on TradingView data structures, which matches its name and description. However, README and SECURITY.md both discuss RapidAPI and recommend a RAPIDAPI_KEY, while the registry metadata declares no required environment variables and README also claims 'No API keys needed' — this contradiction is incoherent and may mislead users about whether credentials/configuration are required for real-time data.
Instruction Scope
SKILL.md stays within the stated purpose: it provides frameworks, references, and safe-processing rules for market/news data. It does not instruct the agent to read arbitrary local files, access unrelated system state, or transmit data to unexpected endpoints; example API calls are limited to the TradingView/RapidAPI endpoints in the references.
Install Mechanism
No install spec or code is present (instruction-only). That minimizes installation risk because nothing is downloaded or executed by the skill package itself.
Credentials
The skill metadata declares no required environment variables, but the README and SECURITY.md explicitly instruct users to set a RAPIDAPI_KEY (and show examples using x-rapidapi-key). This mismatch is a proportionality/visibility problem: the skill will likely need an API key for live data, but it doesn't declare it as required, so users and the platform may not be prompted to provide secrets securely. The docs also claim 'No API keys needed' in one place, which is contradictory.
Persistence & Privilege
The skill does not request persistent platform privileges (always:false) and contains no code that would modify system or other skills' configurations. Default autonomous invocation is allowed (platform default) but is not combined with other red flags here.
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 openclaw-tradingview-quant - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-tradingview-quant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
v0.1.1
- Major redesign: Focus shifted from AI-centric workflow integration to user-facing quantitative investment analysis frameworks and methodologies.
- SKILL.md rewritten to guide users on interpreting TradingView market data formats instead of controlling agent API behavior.
- Clear separation between data analysis frameworks and data access—users are now advised to source TradingView data themselves; the skill provides guidance and methodology only.
- Security and prompt injection sections clarified; terminology updated for relevance to manual analysis.
- Documentation structure and descriptions updated for greater clarity and broader accessibility.
v0.1.0
Initial release of openclaw-tradingview-quant.
- Guides usage of TradingView API for quantitative investment analysis via OpenClaw integration.
- Provides structured workflows for stock analysis, screening, pattern recognition, risk assessment, and market/event analysis.
- Includes detailed API reference (endpoints, data types, request/response examples, and documentation).
- Outlines robust content safety and prompt injection prevention measures for processing external news data.
- Supplies methodology guides and frameworks for both technical and fundamental market analysis.
- Designed for secure and professional use by AI agents to generate actionable investment insights from real market data.
元数据
常见问题
Openclaw Tradingview Quant 是什么？
Professional quantitative investment analysis frameworks and methodologies based on TradingView data structures. Use when users ask about stock analysis, tec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 783 次。
如何安装 Openclaw Tradingview Quant？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-tradingview-quant」即可一键安装，无需额外配置。
Openclaw Tradingview Quant 是免费的吗？
是的，Openclaw Tradingview Quant 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Openclaw Tradingview Quant 支持哪些平台？
Openclaw Tradingview Quant 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 Openclaw Tradingview Quant？
由 ljsd666（@ljsd666）开发并维护，当前版本 v0.1.1。
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