qveris

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Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable.

hqman By hqman schedule Updated 2/17/2026

name: qveris description: Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable. triggers:

  • pattern: "股票|stock|股价|股市" description: "Detect stock-related queries"
  • pattern: "交易|trading|买卖|成交" description: "Detect trading-related queries"
  • pattern: "分析|analysis|数据|指标|技术分析|基本面" description: "Detect analysis-related queries"
  • pattern: "市值|涨跌|收盘|开盘|市盈率|pe|pb" description: "Detect stock indicator queries" auto_invoke: true examples:
  • "Check Tesla stock price"
  • "Analyze Apple's financial data"
  • "Get Bitcoin real-time price"
  • "Show me current weather in Tokyo"

QVeris Tool Search & Execution

QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.

Setup

Requires environment variable:

Quick Start

Search for tools

uv run scripts/qveris_tool.py search "weather forecast API"

Execute a tool

uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'

Script Usage

scripts/qveris_tool.py <command> [options]

Commands:
  search <query>     Search for tools matching a capability description
  execute <tool_id>  Execute a specific tool with parameters

Options:
  --limit N          Max results for search (default: 5)
  --search-id ID     Search ID from previous search (required for execute)
  --params JSON      Tool parameters as JSON string
  --max-size N       Max response size in bytes (default: 20480)
  --json             Output raw JSON instead of formatted display

Workflow

  1. Search: Describe the capability needed (not specific parameters)

    • Good: "weather forecast API"
    • Bad: "get weather for London"
  2. Select: Review tools by success_rate and avg_execution_time

  3. Execute: Call tool with tool_id, search_id, and parameters

Example Session

# Find weather tools
uv run scripts/qveris_tool.py search "current weather data"

# Execute with returned tool_id and search_id
uv run scripts/qveris_tool.py execute openweathermap_current_weather \
  --search-id abc123 \
  --params '{"city": "Tokyo", "units": "metric"}'

Use Cases

  • Weather Data: Get current weather, forecasts for any location
  • Stock Market: Query stock prices, historical data, earnings calendars
  • Search: Web search, news retrieval
  • Data APIs: Currency exchange, geolocation, translations
  • And more: QVeris aggregates thousands of API tools
Install via CLI
npx skills add https://github.com/hqman/my-skills --skill qveris
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