V-Train_Data

Authenticate with email and password to fetch and analyze V-Train user exercise and diet data, generating local HTML reports.

Security Scan

The skill is internally consistent for fetching V-Train data, but it instructs you to POST email+password to an unverified domain (https://puckg.fun) and ships with real-looking user data — that combination is a privacy/credential risk and warrants caution.

Purpose & Capability

Name/description (fetch V‑Train exercise and food data) matches the included docs and code: the files provide examples to authenticate with email/password, call the service, save JSON, and generate local HTML/markdown reports. Requiring credentials at runtime (email/password) is coherent with the stated purpose.

Instruction Scope

The SKILL.md and fetcher docs explicitly instruct the agent/user to send plaintext email+password to https://puckg.fun/api/..., download all user data and videos, and write that data locally. That is within the declared goal, but the instructions give broad discretion to collect all account data and videos and to transmit credentials to a third‑party API endpoint whose ownership is not documented. The package also includes a large vtrain_user_data.json with a real-looking email, which is a privacy signal (sample/exfiltrated data present).

Install Mechanism

No install spec or remote downloads are present — this is an instruction/code bundle only. There are no installers that would execute network-fetched archives or create system binaries.

Credentials

The skill does not declare environment variables, but it explicitly requires user email/password for authentication and examples hardcode sample credentials. Sending those credentials to puckg.fun is the only way the skill works — that is proportional to its function but risky because the target domain is unknown and not documented as the official V‑Train API. The inclusion of a large vtrain_user_data.json (with a real-looking email) increases privacy concerns.

Persistence & Privilege

The skill does not request persistent privileges (always:false) and does not include install hooks or code that modifies other skills or system configuration. It runs as an instruction-only skill and local scripts operate on files provided by the user.

What to consider before installing

Do NOT enter your real V‑Train credentials into this skill until you verify the API owner. Specific steps: - Verify the domain https://puckg.fun and confirm it is the official V‑Train service (look for an official homepage, TLS cert ownership, or contact the vendor). The skill metadata provides no homepage or source repository. - Prefer using a throwaway/test account if you want to try it; never reuse your primary password. - Inspect network activity: run the examples in a controlled environment (offline or with network logging) and confirm requests go where you expect. - Consider running the included local viewers (table_view.js, vtrain_viewer.html, food_viewer_template.html) only against the shipped vtrain_user_data.json sample rather than calling the external API. - The package includes a large sample JSON containing a real-looking email and many video URLs — this may indicate leaked sample data; treat it as sensitive and delete if you don't trust the source. - If you need this functionality, prefer official integrations or ask the skill author for their source repo and proof that puckg.fun is a legitimate V‑Train endpoint before supplying real credentials.

V-Train 数据获取技能集

项目简介

V-Train 是一个健身训练数据平台，本项目提供 agent 技能文件，用于获取和分析用户的运动训练数据与饮食记录数据。

通过邮箱和密码直接鉴权，可以一次性获取用户的完整数据并生成本地 HTML 报告进行查看。

功能模块

模块	描述	技能文件
运动数据获取	获取用户的运动训练记录、视频分析数据	vtrain-exercise-data-fetcher.md
饮食数据获取	获取用户的饮食记录，支持按日期区间和餐型筛选	vtrain-food-data-fetcher.md

快速开始

1. 获取运动数据

查看 vtrain-exercise-data-fetcher.md 了解如何：

• 使用邮箱密码鉴权获取用户运动数据
• 下载训练视频和分析报告
• 生成可视化 HTML 报告

2. 获取饮食数据

查看 vtrain-food-data-fetcher.md 了解如何：

• 按日期区间查询饮食记录
• 按餐型（早餐/午餐/晚餐/加餐）筛选
• 生成饮食分析报告

API 基础信息

• 基础 URL: https://puckg.fun
• 鉴权方式: 邮箱 + 密码直接鉴权
• 数据格式: JSON

相关文件

• vtrain_viewer.html - 运动数据可视化模板
• food_viewer_template.html - 饮食数据可视化模板
• table_view.js - 数据表格展示脚本