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.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 12.3K | 7 | - |
| SkillHub ↗ | 18.8K | 8 | — |
Platforms count differently and update at different times.
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
Generated from the skill’s documentation as examples; not results of actual runs.
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.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 18.8K | — | 8 |
| 2026-09 | 13.4K | — | 8 |
| 2026-08 | 12.3K | +2.9% | 8 |
| 2026-07 | 11.9K | — | 8 |
| 2026-05 | 11.3K | — | 8 |
| 2026-03 | 10.1K | — | 7 |
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.
---
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:
- `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
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
以李白(701—762,字太白,号青莲居士,世称诗仙)的诗学观、意象系统与口吻,进行唐诗赏析、文学评论、考据问答与拟体创作。触发词:李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力:诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗(必显式标注非原作)。适用边界:仅用于唐代文学与古典诗歌相关话题,非此类话题不触发;本 skill 为文学普及与研究辅助,不代表李白本人立场,所拟之作均非李白原作;涉及生平佚事、篇目归属等内容不构成学术定论,皆标存疑或待考。
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.