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TradingView技术指标分析助手
作者
xiaochengzhen
· GitHub ↗
· v1.0.6
· MIT-0
164
总下载
0
收藏
0
当前安装
7
版本数
在 OpenClaw 中安装
/install tv-indicators-analysis
功能描述
通过调用Prana平台上的远程 agent 执行 TradingView 技术指标相关的分析与计算，并将结果返回给调用方
安全使用建议
This skill appears to do what it says: forward TradingView indicator queries to a Prana remote agent. Before installing or running it, confirm you are comfortable with the following: (1) requests and any user-provided queries will be sent to https://www.prana.chat — review Prana's privacy and terms and verify the domain; (2) the skill will persist a PRANA_SKILL_API_FLAG in OpenClaw's global config if not already present — ensure you consent to storing that token and understand its lifetime and scope; (3) verify how the api_key is generated (the skill says GET /api/v2/api-keys is unauthenticated) so you know whether the returned token is truly user-specific and what it authorizes; (4) do not include any sensitive credentials or account data in user queries (the SKILL.md reiterates this); and (5) consider revoking the stored PRANA key when you no longer need the skill. Require the agent to explicitly prompt for user permission before fetching or setting the environment variable.
能力评估
Purpose & Capability
The name/description state that remote Prana agents will perform TradingView indicator analysis; the skill only requires PRANA_SKILL_API_FLAG and calls prana.chat endpoints (agent-run, agent-result, api-keys, skill-purchase-history-url), which is coherent and proportionate to that purpose. Minor nit: skill.json uses duplicated slashes in some URLs (https://www.prana.chat//api/...), but this is likely syntactic and not a capability mismatch.
Instruction Scope
SKILL.md confines runtime behavior to obtaining/using a PRANA_SKILL_API_FLAG and calling prana.chat APIs. It does not instruct reading unrelated files or other credentials. It does instruct writing a persistent OpenClaw environment variable and contains an admonition to confirm with the user before obtaining the key — that user-consent requirement is somewhat ambiguous in practice (the doc both tells the agent how to fetch and how to set the global env var), so operators should ensure the agent actually prompts for consent before making changes.
Install Mechanism
Instruction-only skill; no install spec and no code files, so nothing is downloaded or written beyond the described environment-variable update.
Credentials
The skill requests exactly one environment variable (PRANA_SKILL_API_FLAG) which is appropriate for authenticating to prana.chat. Two points to be aware of: (1) the SKILL.md instructs generating this key via an unauthenticated GET /api/v2/api-keys call — the doc states this returns a user-specific token, but you should verify the token's scope/validity before trusting it; (2) the skill asks to persist the key globally via 'openclaw config set env...', which stores the credential persistently and could have cost/usage implications if the key is shared or long-lived.
Persistence & Privilege
The skill is not always-included and does not request elevated platform privileges. However, it instructs writing a global persistent environment variable (PRANA_SKILL_API_FLAG) into the OpenClaw config; that is a lasting change and should only be done with explicit user consent. Autonomous invocation remains allowed by platform defaults (not a new concern 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 tv-indicators-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/tv-indicators-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
v1.0.6
- Updated Prana platform API endpoints to use https://www.prana.chat domain.
- Changed environment variable terminology from api_flag to api_key, and updated retrieval method to use /api/v2/api-keys.
- Adjusted HTTP request headers to use x-api-key instead of api_flag.
- Revised API skills flow descriptions and clarified parameter handling, including improved security and data privacy instructions.
- Modified endpoint URLs for agent execution and history retrieval.
- Added clarification about how api_key is obtained and its usage.
v1.0.5
Major refactor to environment variable and API usage.
- Replaces PRANA_SKILL_PUBLIC_KEY/SECRET_KEY with PRANA_SKILL_API_FLAG for authentication.
- Requires new environment variable setup and OpenClaw gateway restart for changes to take effect.
- Updates API endpoints and request headers; now uses api_flag in headers.
- Skill now guides environment configuration and checks, with explicit failure if not present.
- History interface changed from "skill-purchase-history-url" to "skill-request-history-url".
- Documentation expanded for setup, security, and rationale.
v1.0.4
- Added required environment variables PRANA_SKILL_PUBLIC_KEY and PRANA_SKILL_SECRET_KEY for authentication.
- Updated API usage instructions to include x-api-key headers with both public and secret key.
- Documented that secret keys are read from runtime environment variables.
- Clarified the need for API key configuration before accessing order history.
- No changes to code files; documentation update only.
v1.0.3
No functional changes; documentation update only.
- Updated SKILL.md to clarify the instructions for calling the purchase history URL interface.
- Simplified section numbering and removed redundant configuration steps from the historical order section.
v1.0.2
- 更新 skill 描述，更准确地反映该工具通过 prana.chat 远程 agent 执行 TradingView 技术指标相关分析与计算
- SKILL.md 增加了 network_requests 字段，明确声明了对外接口调用方式
- 示例 API 请求中去除了 API 密钥相关演示说明，接口调用更简洁
v1.0.1
- 移除环境变量和密钥获取配置流程，简化了技能的接入与使用步骤
- 相关接口调用示例已简化，无需单独配置 x-api-key 头，仅需直接填写请求体
- 获取历史订单流程更新，直接提供接口调用命令
- 文档内容更简明，易于新用户快速上手
v1.0.0
- Initial release of TradingView技术指标分析助手.
- Provides a Python toolkit based on 100 popular TradingView Pine Script indicators, supporting calculation, analysis, and visualization of technical indicators.
- Includes clear setup instructions for environment variables and integration with the OpenClaw environment.
- Supports secure API authentication and step-by-step workflow for technical analysis and purchase history retrieval.
元数据
常见问题
TradingView技术指标分析助手 是什么？
通过调用Prana平台上的远程 agent 执行 TradingView 技术指标相关的分析与计算，并将结果返回给调用方. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 164 次。
如何安装 TradingView技术指标分析助手？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tv-indicators-analysis」即可一键安装，无需额外配置。
TradingView技术指标分析助手 是免费的吗？
是的，TradingView技术指标分析助手 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
TradingView技术指标分析助手 支持哪些平台？
TradingView技术指标分析助手 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 TradingView技术指标分析助手？
由 xiaochengzhen（@xiaochengzhen）开发并维护，当前版本 v1.0.6。
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