Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Multi-agent validation framework. Spawns independent AI critics to evaluate artifacts (documents, configs, code, research) against rubrics with evidence-grou...
Multi-agent validation framework. Spawns independent AI critics to evaluate artifacts (documents, configs, code, research) against rubrics with evidence-grou...
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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.
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>
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-001βPC-025; auto-detected on .py files)
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 β 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.
# 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
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-...
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.
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 βοΈ 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.
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