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quorumaiquorumai 开发

Agent Skill

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。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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