Token导航 LogoToken导航

Agent Skill · 开发

quorumai(quorumai 开发)

quorumai 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

quorumai 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 4,105。

总安装 9,066周安装 374GitHub Stars 公开资料未说明下载 2,962核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:quorumai(quorumai 开发)
来源仓库:https://github.com/shokatma-oss/quorumai
安装命令:
openclaw skills install quorumai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install quorumai

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

quorumai 并行调用 Claude、GPT、Gemini 与 Grok 四种模型回答问题,取最优解输出。适用于复杂查询的多角度验证与答案优选。quorumai 属于开发类 Skill,可作为该场景下的辅助能力补充。提升回答可靠性,减少单一模型偏差风险。需配置各模型 API 密钥并承担相应费用。

结果为聚合建议,重要决策仍需人工判断。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install quorumai;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

quorumai 怎么安装?

在终端执行 openclaw skills install quorumai。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

quorumai 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

quorumai 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

quorumai 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

quorumai 用的人多吗?

公开数据是累计安装 9,066 次,近一周安装 374 次,下载 2,962 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

quorumai 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
quorumai

quorumai 开发 · 本页

9,066—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
quorumai
description
Run multi-model AI synthesis inquiries via QuorumAI. Four AI models (Claude, GPT, Gemini, Grok) compete to answer your question from specialized perspectives, get scored by an arbiter, and the best elements are synthesized into one ultimate answer.
version
1.0.0
metadata
openclaw
requires
env
bins
primaryEnv
QUORUMAI_API_KEY
emoji
🏛️
homepage
https://quorumai.io

QuorumAI — Multi-Model AI Synthesis

Ask a question once. Four AI models (Claude, GPT, Gemini, Grok) answer simultaneously from specialized perspectives, an arbiter scores them, and you get one synthesized best answer.

Setup

Get your free API key at https://quorumai.io/account (sign up, go to API Keys, generate one). The key starts with qai_.

Set it in your OpenClaw config:

QUORUMAI_API_KEY=qai_your_key_here

Usage

When the user asks you to use QuorumAI, run a quorumai inquiry, or says "ask quorumai", send their question to the QuorumAI API.

Quick Inquiry (default)

curl -s -X POST https://quorumai.io/api/v1/inquiry \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $QUORUMAI_API_KEY" \
  -d '{
    "thesis": "USER_QUESTION_HERE",
    "mode": "quick",
    "academy": "general"
  }'

Standard Inquiry (dedicated arbiter, better scoring)

curl -s -X POST https://quorumai.io/api/v1/inquiry \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $QUORUMAI_API_KEY" \
  -d '{
    "thesis": "USER_QUESTION_HERE",
    "mode": "standard",
    "academy": "general"
  }'

Deep Inquiry (Pro only — 4 rounds, 16 responses)

curl -s -X POST https://quorumai.io/api/v1/inquiry \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $QUORUMAI_API_KEY" \
  -d '{
    "thesis": "USER_QUESTION_HERE",
    "mode": "deep",
    "academy": "general",
    "dissent": true
  }'

Parameters

FieldTypeDefaultDescription
thesisstring*required*The question to ask (alias: question)
academystring"general"Academy to use: general, clinical, business, technical, investment
modestring"quick"Inquiry depth: quick (Free), standard (Free), deep (Pro)
arbiterstring"auto"Which model judges: auto, claude, gpt, gemini, grok
dissentbooleanfalseEnable dissent mode — models argue against themselves to stress-test claims (Pro)

Academies

  • general — General-purpose inquiry with balanced perspectives
  • clinical — Clinical Review Panel for medical and health questions
  • business — Business Advisory Board for strategy and operations
  • technical — Technical Review Board for engineering and architecture
  • investment — Investment Committee for financial analysis

Response Format

The API returns JSON. Here are the key fields to present to the user:

FieldDescription
synthesisThe combined best answer — always show this first
primaThe top-scoring voice (winning model)
voicesArray of individual model responses with provider and school (role)
scoresArbiter's scoring of each voice
confidenceOverall confidence percentage (when dissent is enabled)
consensus_claimsClaims all models agreed on (dissent mode)
vulnerable_claimsClaims that didn't survive adversarial analysis (dissent mode)
share_urlPublic link to view the full inquiry result

How to Present Results

  1. Always lead with the synthesis — this is the main answer
  2. Show the prima (winning voice) and its score
  3. If the user wants detail, show individual voice responses
  4. If dissent was enabled, highlight consensus vs vulnerable claims
  5. Always include the share_url so the user can view the full result on quorumai.io

Example output formatting:

🏛️ QuorumAI Synthesis:
[synthesis text]

🏆 Top Voice: [prima provider] ([prima score])
🔗 Full result: [share_url]

If dissent mode was used, add:

✅ Consensus: [consensus_claims]
⚠️ Vulnerable: [vulnerable_claims]
📊 Confidence: [confidence]%

Rate Limits

  • Free tier: 5 inquiries/day (Quick and Standard modes only)
  • Pro tier ($9.99/mo): 50 inquiries/day, all modes, dissent, all academies

Rate limit headers are returned: X-RateLimit-Limit and X-RateLimit-Remaining.

If the user hits a rate limit, suggest upgrading at https://quorumai.io/account

Error Handling

  • 401: Invalid or missing API key — direct user to https://quorumai.io/account
  • 403: Feature requires Pro tier — suggest upgrade
  • 429: Rate limit exceeded — show remaining reset time
  • 500: Server error — retry once, then report the issue

Rules

  • Always substitute the user's actual question for USER_QUESTION_HERE
  • Default to quick mode and general academy unless the user specifies otherwise
  • If the user says "deep dive" or "thorough analysis", use deep mode
  • If the user mentions medical/health topics, suggest clinical academy
  • If the user mentions business/strategy, suggest business academy
  • If the user mentions code/engineering, suggest technical academy
  • If the user mentions investing/finance, suggest investment academy
  • Never expose the raw API key in messages to the user
  • Responses can take 15-45 seconds depending on mode — let the user know it's processing

平台分布

OpenClaw

84.92%
按下载量换算2,515

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills