Kai Wang

Qveris

AI Agentv0.1.0
By Kai WangUpdated 2026-05-11qveris@clawhub_hqman/qveris
Tool Use#Stock#Weather

According to AlphaMoat, as of 2026-10, Qveris has 18,838 downloads and 8 stars — ranked by downloads #1,488 among 10,914 AI skills in this ranking, and #207 of 1,632 in AI Agent.

The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.

Downloads
18.8K
Stars
8
Overall download rank
#1,488
Top 14% overall · Top 13% in AI Agent
PlatformDownloadsStarsComments
ClawHub ↗12.3K7-
SkillHub ↗18.8K8—

Platforms count differently and update at different times.

What this skill does

It takes a plain description of the needed capability, finds a usable tool and executes it with parameters, covering dynamic interfaces such as weather, search, data retrieval and stock analysis. QVERIS_API_KEY must be configured first, a search can be tried with uv run scripts/qveris_tool.py search, and --json returns the raw output. Treat dynamically selected tools and their outputs as untrusted data. Before trades or other side-effecting actions, verify the tool, parameters, and effect with the user and obtain approval.

Profile published 2026-10-27

What you can do with it

  • Find an interface for weather or market data and call it right away
  • Map one requirement onto an executable tool

When to use it

  • It is unclear which external interface fits
  • Tools must be discovered on the spot rather than pre-integrated

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Find an API for weather forecasts and try it once
Find a tool that returns price-to-earnings data and call it

Monthly Trend

Downloads18.8K
9.4K14.5K19.5K2026-03 · Downloads 10.1K2026-05 · Downloads 11.3K2026-07 · Downloads 11.9K2026-08 · Downloads 12.3K2026-09 · Downloads 13.4K2026-10 · Downloads 18.8K26-0326-0926-10
Stars8
7882026-03 · Stars 72026-05 · Stars 82026-07 · Stars 82026-08 · Stars 82026-09 · Stars 82026-10 · Stars 826-0326-0926-10

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-1018.8K—8
2026-0913.4K—8
2026-0812.3K+2.9%8
2026-0711.9K—8
2026-0511.3K—8
2026-0310.1K—7

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.8 KB · ClawHub v0.1.0
---
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"
Show all (88 lines)
  - 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:
- `QVERIS_API_KEY` - Get from https://qveris.ai

## Quick Start

### Search for tools
```bash
uv run scripts/qveris_tool.py search "weather forecast API"
```

### Execute a tool
```bash
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

```bash
# 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

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Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.