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quorumquorum 搜索

Agent Skill

quorum 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

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周安装

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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:quorum(quorum 搜索)
来源仓库:https://github.com/dacervera/quorum
安装命令:
openclaw skills install quorum
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 quorum

简介

quorum 是多代理验证框架,由 6 位独立 AI 评论家评估工件。

  • 基于证据调查结果进行多维度评审。quorum 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适用于需要交叉验证结果的复杂任务。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 安装前应确认计算资源是否满足并发代理运行需求。
  • 输出为综合评估报告,需人工解读结论。

SKILL.md

name
quorum
description
Multi-agent validation framework — 6 independent AI critics evaluate artifacts against rubrics with evidence-grounded findings.
metadata
{"openclaw":{"requires":{"bins":["python3","pip"],"env":["ANTHROPIC_API_KEY","OPENAI_API_KEY"]},"install":[{"id":"clone-repo","kind":"shell","command":"git clone https://github.com/SharedIntellect/quorum.git /tmp/quorum-install && cd /tmp/quorum-install/reference-implementation && pip install -r requirements.txt","label":"Clone Quorum repo and install Python dependencies"}],"source":"https://github.com/SharedIntellect/quorum"}}

Quorum — Multi-Agent Validation

Quorum validates AI agent outputs by spawning multiple independent critics that evaluate artifacts against rubrics. Every criticism must cite evidence. You get a structured verdict.

Quick Start

Clone the repository and install:

git clone https://github.com/SharedIntellect/quorum.git
cd quorum/reference-implementation
pip install -r requirements.txt

Run a quorum check on any file:

python -m quorum.cli run --target <path-to-artifact> --rubric <rubric-name>

Built-in Rubrics

  • research-synthesis — Research reports, literature reviews, technical analyses
  • agent-config — Agent configurations, YAML specs, system prompts
  • python-code — Python source files (25 criteria, PC-001–PC-025; auto-detected on .py files)

Depth Profiles

  • quick — 2 critics (correctness, completeness) + pre-screen, ~5-10 min
  • standard — 4 active (correctness, completeness, security + tester) + pre-screen, ~15-30 min (default)
  • thorough — 5 active (+ code_hygiene) + pre-screen + fix loops, ~30-60 min

*†Cross-Consistency requires --relationships flag with a relationships manifest.*

All depth profiles include the deterministic pre-screen (10 checks: credentials, PII, syntax errors, broken links, TODOs, and more) before any LLM critic runs.

Examples

# Validate a research report
quorum run --target my-report.md --rubric research-synthesis

# Quick check (faster, fewer critics)
quorum run --target my-report.md --rubric research-synthesis --depth quick

# Batch: validate all markdown files in a directory
quorum run --target ./docs/ --pattern "*.md" --rubric research-synthesis

# Cross-artifact consistency check
quorum run --target ./src/ --relationships quorum-relationships.yaml --depth standard

# Use a custom rubric
quorum run --target my-spec.md --rubric ./my-rubric.json

# List available rubrics
quorum rubrics list

# Initialize config interactively
quorum config init

Configuration

On first run, Quorum prompts for your preferred models and writes quorum-config.yaml. You can also create it manually:

models:
  tier_1: anthropic/claude-sonnet-4-6    # Judgment roles
  tier_2: anthropic/claude-sonnet-4-6    # Evaluation roles
depth: standard

Set your API key:

export ANTHROPIC_API_KEY=sk-ant-...
# or
export OPENAI_API_KEY=sk-...

Output

Quorum produces a structured verdict:

  • PASS — No significant issues found
  • PASS_WITH_NOTES — Minor issues, artifact is usable
  • REVISE — High/critical issues that need rework before proceeding
  • REJECT — Unfixable problems; restart required

Exit codes: 0 = PASS/PASS_WITH_NOTES, 1 = error, 2 = REVISE/REJECT.

Each finding includes: severity (CRITICAL/HIGH/MEDIUM/LOW), evidence citations pointing to specific locations in the artifact, and remediation suggestions. The run directory contains prescreen.json, per-critic finding JSONs, verdict.json, and a human-readable report.md.

More Information


⚖️ LICENSE — Not part of the operational specification above. This file is part of Quorum. Copyright 2026 SharedIntellect. MIT License. See LICENSE for full terms.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

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。

平台分布

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按下载量换算4,965

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可疑

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敏感数据

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安装前确认

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