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Quorum

Multi-agent validation framework. Spawns independent AI critics to evaluate artifacts (documents, configs, code, research) against rubrics with evidence-grou...

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Multi-agent validation framework. Spawns independent AI critics to evaluate artifacts (documents, configs, code, research) against rubrics with evidence-grou...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
CLAUDE.md, CONTRIBUTING.md, README.md, SHIPPING.md, SKILL.md, SPEC.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.7.3

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

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

Depth Profiles

quick β€” 2 critics (correctness, completeness) + pre-screen, ~5-10 min standard β€” 4 active (correctness, completeness, security + tester) + pre-screen, ~15-30 min (default) thorough β€” 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 β€” No significant issues found PASS_WITH_NOTES β€” Minor issues, artifact is usable REVISE β€” High/critical issues that need rework before proceeding REJECT β€” 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

SPEC.md β€” Full architectural specification MODEL_REQUIREMENTS.md β€” Supported models and tiers CONFIG_REFERENCE.md β€” All configuration options FOR_BEGINNERS.md β€” New to agent validation? Start here βš–οΈ LICENSE β€” Not part of the operational specification above. This file is part of Quorum. Copyright 2026 SharedIntellect. MIT License. See LICENSE for full terms.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
6 Docs
  • SKILL.md Primary doc
  • CLAUDE.md Docs
  • CONTRIBUTING.md Docs
  • README.md Docs
  • SHIPPING.md Docs
  • SPEC.md Docs