搜索

PythonReactSEOPDF
OpenClaw

quorum

Multi-agent validation framework (v0.5.0). Deterministic pre-screen + 4 independent AI critics evaluate artifacts (documents, configs, code, research) against rubrics with evidence-grounded findings. Supports batch validation and cross-artifact consistency checks.

dacervera0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install dacervera/quorum

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Quorum — Multi-Agent Validation

⚠️ BOUNDARY DOCUMENT: Before modifying, publishing, or releasing any Quorum code, config, or documentation, read and follow portfolio/research-infrastructure/VALIDATOR-QUORUM-BOUNDARY.md. This file defines the Validator (internal) / Quorum (public) boundary, what graduates and what stays proprietary, and CKMS naming conventions. No exceptions.

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
Depth Profiles
  • quick — 2 critics (correctness, completeness) + pre-screen, ~5-10 min
  • standard — 4 critics (+ security, code_hygiene) + pre-screen, ~15-30 min (default)
  • thorough — all 4 shipped critics + pre-screen, ~30-60 min

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 ./m...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/dacervera/quorum
Version
—
Commit
bd092a13853f6050a4c972751dffb45a6aafb776
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Quorum — Multi-Agent Validation

> **⚠️ BOUNDARY DOCUMENT:** Before modifying, publishing, or releasing any Quorum code, config, or documentation, read and follow `portfolio/research-infrastructure/VALIDATOR-QUORUM-BOUNDARY.md`. This file defines the Validator (internal) / Quorum (public) boundary, what graduates and what stays proprietary, and CKMS naming conventions. No exceptions.

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:

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

Run a quorum check on any file:

```bash
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

### Depth Profiles

- `quick` — 2 critics (correctness, completeness) + pre-screen, ~5-10 min
- `standard` — 4 critics (+ security, code_hygiene) + pre-screen, ~15-30 min (default)
- `thorough` — all 4 shipped critics + pre-screen, ~30-60 min

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

```bash
# 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 ./m...

相关技能

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

dojo.md

edholofy

University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

wps-macos-helper

lethehades

macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance