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TradingView技术指标分析助手Agent

Name: TradingView技术指标分析助手Agent
Author: gocybertrade

by goCyberTrade · GitHub ↗ · v1.0.23 · MIT-0

cross-platform ⚠ suspicious

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Install in OpenClaw

/install tview-indicators-analysis

Description

通过调用 Prana 平台上的远程 agent 完成以下处理：基于100个热门TradingView Pine Script指标转换的Python技术分析工具集，提供专业的技术指标计算、分析和可视化功能 IMPORTANT: This skill has a mandatory step-by-step proc...

Usage Guidance

This skill invokes a remote agent at https://claw-uat.ebonex.io and requires an API key stored in the environment variable PRANA_SKILL_API_FLAG. Before using: (1) confirm you trust the remote host/operator — any question or data you submit will be sent there; (2) prefer setting the key as a temporary session env rather than making it global, because a global env/config entry can be reused by other local processes or skills; (3) follow the skill's required confirmation flow if you allow it to fetch an API key for you (do not permit key retrieval or global writes unless you explicitly approve); (4) do not paste sensitive secrets into chat — the skill already warns not to do so. If you are unsure about trusting the endpoint (claw-uat.ebonex.io), do not persist the key and consider running the client only in an isolated environment.

Capability Analysis

Type: OpenClaw Skill Name: tview-indicators-analysis Version: 1.0.23 The skill is a legitimate interface for the Prana technical analysis platform, allowing users to calculate TradingView-style indicators via a remote agent. The bundle contains thin client scripts in Node.js and Python (`scripts/prana_skill_client.js` and `scripts/prana_skill_client.py`) that communicate exclusively with `https://claw-uat.ebonex.io`. The `SKILL.md` file contains highly detailed instructions for the AI agent to manage an API key (`PRANA_SKILL_API_FLAG`), including procedures for acquisition and persistence via the `openclaw` CLI. While the instructions are prescriptive and use prompt-injection-like formatting to enforce state management, they are transparently aligned with the service's operational requirements and lack any indicators of malicious intent, data exfiltration, or unauthorized execution.

Capability Tags

cryptocan-make-purchases

Capability Assessment

✓ Purpose & Capability

Name/description (TradingView indicator analysis via a remote Prana agent) match the included client scripts and declared network endpoints. The only required secret is PRANA_SKILL_API_FLAG which is used as the x-api-key for the Prana endpoints — this is appropriate for a remote-agent integration.

ℹ Instruction Scope

SKILL.md prescribes a strict 3-step flow (confirm → GET api_key → set PRANA_SKILL_API_FLAG) and requires user confirmation before key acquisition and before setting global env. The scripts themselves do not fetch keys and will fail if the env var is absent, which is consistent. Note: running the scripts will transmit user questions/requests to the remote service (https://claw-uat.ebonex.io); do not send sensitive/private data unless you trust that endpoint and its operator.

✓ Install Mechanism

No install spec; the skill is instruction + small client scripts (JS/Python) that are executed locally. No external archives or downloads are performed by the skill package itself.

✓ Credentials

Only PRANA_SKILL_API_FLAG is declared and used. That single env var is proportional to the stated remote-agent integration. There are no unrelated credentials requested.

ℹ Persistence & Privilege

The documentation recommends (and offers a command for) writing PRANA_SKILL_API_FLAG as a global config value; doing so persists the key system-wide which increases its blast radius (other local tools or skills running in the same environment could potentially reuse it). The skill itself does not set other skills' config or require always:true. Prefer temporary/session env when possible and only persist the key if you trust the environment and operator.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install tview-indicators-analysis
After installation, invoke the skill by name or use /tview-indicators-analysis
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.23

tview-indicators-analysis 1.0.23 - Major update to usage process and compliance requirements; strict new step-by-step execution rules added. - Full procedural details now provided, with mandatory user confirmation for API key acquisition and environment configuration. - Enforced prohibition on skipping, merging, or reordering steps; key fetching/refresh forbidden if PRANA_SKILL_API_FLAG is already set. - Users must explicitly choose between session-only or global environment variable setup for API key. - Automatic or background fetching of API keys, or leaking of sensitive data in chat, is strictly prohibited. - History/record lookup is now opt-in only—never performed unless explicitly requested by the user.

v1.0.22

Version 1.0.22 - Improved thread_id parameter usage: now maintained separately for each skill to better preserve dialog context in multi-skill scenarios. - Updated documentation to clarify how thread_id should be managed and passed when invoking the skill multiple times within OpenClaw.

v1.0.21

tview-indicators-analysis 1.0.21 - 新增 Node.js 和 Python 客户端脚本：scripts/prana_skill_client.js 和 scripts/prana_skill_client.py。 - SKILL.md 说明更新，指明可选用 Node.js（默认）或 Python3 客户端执行主流程。 - 优化环境变量声明流程，精简接口描述，并补充多语言执行方式示例。 - 明确不在日志或存储中保存历史请求的完整链接，直接展示给用户。 - 部分接口声明修正，细化安全与授权说明。

v1.0.20

- 修正了所有网络请求中的 host 域名，从带 "www." 的地址统一为不带 "www."（例如由 "https://www.claw-uat.ebonex.io" 调整为 "https://claw-uat.ebonex.io"）。 - 其余功能与接口调用保持不变，未新增或删减功能说明。

v1.0.19

No changes detected in this version.

v1.0.18

- Updated all API endpoint URLs to use https://www.claw-uat.ebonex.io instead of https://www.prana.chat. - Updated instructions, examples, and documentation to reflect the new API domain. - No changes in functionality or parameters; endpoint addresses only.

v1.0.17

v1.0.17 - No file changes detected in this release. - No updates or modifications have been made to the skill's features or documentation.

v1.0.16

- 更新全部 API 调用地址为 prana.chat 域名，替换原 claw-uat.ebonex.io - 相应修改 network_requests 配置，全部指向新域名 - 技能描述与安全说明中的平台名称与接口说明同步调整为 prana.chat - 更新历史请求页面等所有访问链接为 prana.chat 域名

v1.0.15

- 更新了 prana 服务公网首页地址为 https://www.prana.chat/ - 安全与审计说明部分增加了第6点（内容未填写） - 其余内容未变

v1.0.14

- 明确说明 /api/v2/api-keys 接口无需认证，并解释其返回的 api_key 为用户专属令牌。 - 增加了安全与审计说明的内容，详细阐述获取 api_key 行为的机制与理由。 - 其它功能和流程未作更改。

v1.0.13

No visible changes detected in this version. - Version 1.0.13 introduces no updates to files or documentation.

v1.0.12

Version 1.0.12 - 修正了历史请求地址接口，改为使用 skill-purchase-history-url 作为获取历史记录的正确接口路径。 - 相应地，文档中的接口调用范例与说明同步更新以反映此变更。

v1.0.11

Version 1.0.11 - The skill's GET history URL network request definition was updated from /api/claw/skill-request-history-url to clarify usage. - Response examples and command details were updated in documentation for more accurate endpoint naming: changed references from "skill-request-history-url" to "skill-purchase-history-url" in some API examples and outputs. - No changes to code or functional endpoints; documentation and output consistency improved.

v1.0.10

tview-indicators-analysis 1.0.10 - 文档中“历史请求地址”相关描述由“技能使用记录”调整为“技能获取记录”。 - 获取历史请求链接的接口调用命令由 `/api/claw/skill-request-history-url` 更正为 `/api/claw/skill-purchase-history-url`。

v1.0.9

tview-indicators-analysis v1.0.9 - 优化了技能使用场景描述，使示例更符合技术指标分析定位。 - 删除了与财报和涨跌幅查询相关的示例与说明，聚焦于技术指标分析。 - 精简脚本执行部分，明确参数用途和限制。 - 其他内容与接口使用流程未发生变动。

v1.0.8

- 切换所有远程接口调用地址，从 prana.chat 调整为 claw-uat.ebonex.io - 更新接口说明、示例 curl 命令及所有相关文档中的域名与接口路径 - 安全与审计部分同步更新为 claw-uat.ebonex.io - prana服务公网首页地址相应变更

v1.0.7

Version 1.0.7 - No file changes detected in this release. - No updates to functionality, configuration, or documentation.

v1.0.6

- 接口调用由 v1 升级至 v2，获取标识字段从 api_flag 变更为 api_key - 所有请求头中的认证方式由 api_flag 变更为 x-api-key - agent-run 的 skill_key 值由 indicators-analysis-public 更新为 100_indicators_analysis - 请求示例和参数字段名称进行了同步调整以匹配新接口 - 优化了历史记录接口返回参数和安全提示描述

v1.0.5

- Minor metadata update in skill.json. - No changes to functionality or usage.

v1.0.4

- 更新了 SKILL.md 中 network_requests 部分的接口地址，调整为 https://prana.chat/api/api-keys - 修改了脚本执行流程，要求禁止传入任何用户的敏感信息或账户数据 - 移除了关于 Node.js/Python 客户端选择的相关表述 - 文档表达更加清晰，进一步规范了用户信息与参数传递

Metadata

Slug tview-indicators-analysis

Version 1.0.23

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 24

Frequently Asked Questions

What is TradingView技术指标分析助手Agent?

通过调用 Prana 平台上的远程 agent 完成以下处理：基于100个热门TradingView Pine Script指标转换的Python技术分析工具集，提供专业的技术指标计算、分析和可视化功能 IMPORTANT: This skill has a mandatory step-by-step proc... It is an AI Agent Skill for Claude Code / OpenClaw, with 196 downloads so far.

How do I install TradingView技术指标分析助手Agent?

Run "/install tview-indicators-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is TradingView技术指标分析助手Agent free?

Yes, TradingView技术指标分析助手Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does TradingView技术指标分析助手Agent support?

TradingView技术指标分析助手Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created TradingView技术指标分析助手Agent?

It is built and maintained by goCyberTrade (@gocybertrade); the current version is v1.0.23.

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