skills$openclaw/qveris
hqman2.7k

by hqman

qveris – OpenClaw Skill

qveris is an OpenClaw Skills integration for data analytics workflows. 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.

2.7k stars915 forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026data analytics

Skill Snapshot

nameqveris
descriptionSearch 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. OpenClaw Skills integration.
ownerhqman
repositoryhqman/qveris
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @hqman/qveris
last updatedFeb 7, 2026

Maintainer

hqman

hqman

Maintains qveris in the OpenClaw Skills directory.

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7 files
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scripts
qveris_tool.py
6.9 KB
_meta.json
263 B
pyproject.toml
192 B
README.md
1.6 KB
README.zh-CN.md
1.5 KB
SKILL.md
2.8 KB
SKILL.md

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: "检测股票相关查询"
  • pattern: "交易|trading|买卖|成交" description: "检测交易相关查询"
  • pattern: "分析|analysis|数据|指标|技术分析|基本面" description: "检测分析相关查询"
  • pattern: "市值|涨跌|收盘|开盘|市盈率|pe|pb" description: "检测股票指标查询" auto_invoke: true examples:
  • "帮我查一下特斯拉的股价"
  • "分析一下苹果公司的财报数据"
  • "查询今日A股涨停板"
  • "获取比特币实时价格"

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
README.md

QVeris Skill for Claude Code

中文文档 | English

A skill that enables Claude Code to dynamically search and execute tools via the QVeris API.

Features

  • Tool Discovery: Search for APIs by describing what you need
  • Tool Execution: Execute any discovered tool with parameters
  • Wide Coverage: Access weather, stocks, search, currency, and thousands more APIs

Installation

Prerequisites

This skill requires uv, a fast Python package manager. Install it first:

macOS and Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

For other installation methods, see the official uv installation guide.

Install the Skill

  1. Copy this folder to your Claude Code skills directory:

    cp -r qveris ~/.claude/skills/
    
  2. Set your API key:

    export QVERIS_API_KEY="your-api-key-here"
    

    Get your API key at https://qveris.ai

Usage

Once installed, Claude Code will automatically use this skill when you ask questions about:

  • Weather data
  • Stock prices and market analysis
  • Web searches
  • Currency exchange rates
  • And more...

Manual Commands

# Search for tools
uv run scripts/qveris_tool.py search "stock price data"

# Execute a tool
uv run scripts/qveris_tool.py execute <tool_id> --search-id <id> --params '{"symbol": "AAPL"}'

Author

@hqmank

License

MIT

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install qveris?

Run openclaw add @hqman/qveris in your terminal. This installs qveris into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/hqman/qveris. Review commits and README documentation before installing.