据 AlphaMoat 统计,截至 2026-09,QVerisAI 累计下载 1,885 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 4,506 位,在「AI 智能体」分类(969 个)中排名第 891 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 52 | 1,668 | - | - |
| SkillHub ↗ | 177 | 1,885 | - | — |
各平台的计数口径不同,统计时间不一致。
主文说明可按能力查找工具,再提交参数执行外部服务调用,涵盖天气、搜索、金融、地理位置和健康数据等场景。需配置 QVERIS_API_KEY;请求会发送给外部服务,调用前应核实工具、参数及数据分享范围。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 1,885 | — | - |
| 2026-08 | 1,618 | +5.5% | - |
| 2026-07 | 1,534 | +12.1% | - |
| 2026-06 | 1,369 | +6.1% | - |
| 2026-05 | 1,290 | — | - |
| 2026-03 | 1,029 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: qverisai
description: Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically — covers weather, search, stocks, finance, economics, geolocation, AIGC, news, social media, health data, and thousands more. Requires QVERIS_API_KEY environment variable.
env:
- QVERIS_API_KEY
requirements:
env_vars:
- QVERIS_API_KEY
credentials:
primary: QVERIS_API_KEY scope: read-only
endpoint: https://qveris.ai/api/v1
auto_invoke: true
source: https://qveris.ai
examples:
- "Show me current weather in Tokyo"
- "Search for latest tech news"
- "Check Tesla stock price"
- "Analyze Apple's financial data"
- "What is the US GDP growth rate"
- "Generate an image of a sunset over mountains"
- "Get trending topics on Twitter"
- "Find clinical trials for diabetes treatment"
---
# 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
No additional dependencies — uses Node.js built-in `fetch`.
## Security
- **Credential**: Only `QVERIS_API_KEY` is accessed. No other env vars or secrets are read.
- **Network**: API key is sent only to `https://qveris.ai/api/v1` over HTTPS. No other endpoints are contacted.
- **Storage**: The key is never logged, cached, or written to disk.
- **Recommendation**: Use a scoped, revocable API key. Monitor usage at https://qveris.ai.
## Quick Start
### Search for tools
```bash
node scripts/qveris_tool.mjs search "weather forecast API"
```
### Execute a tool
```bash
node scripts/qveris_tool.mjs execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'
```
## Script Usage
```
node scripts/qveris_tool.mjs <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: 10)
--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)
--timeout N Request timeout in seconds (default: 30 for search, 60 for execute)
--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
node scripts/qveris_tool.mjs search "current weather data"
# Execute with returned tool_id and search_id
node scripts/qveris_tool.mjs execute openweathermap_current_weather \
--search-id abc123 \
--params '{"city": "Tokyo", "units": "metric"}'
```
## Use Cases
- **Weather**: Get current weather, forecasts for any location
- **Search**: Web search, information retrieval
- **Stocks & Finance**: Query stock prices, historical data, earnings calendars
- **Economics**: GDP, inflation rates, economic indicators
- **Geolocation**: IP lookup, geocoding, reverse geocoding
- **AIGC**: Image generation, text-to-speech, AI content creation
- **News**: Headlines, article search, trending topics
- **Social Media**: Trending topics, post analytics, engagement data
- **Health Data**: Clinical trials, drug info, health statistics
- **And more**: QVeris aggregates thousands of API tools
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。