quorum-cli: Multi-agent AI discussion CLI for structured debates between LLMs

by Detrol · Agent Tool · ★ 118

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install quorum-cli

pip install quorum-cli
git clone https://github.com/Detrol/quorum-cli.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 76/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aianthropiccliconsensusdebatellmmulti-agentollamaopenaiterminal-ui

Quick Facts

Stars118
Forks10
LanguagePython
CategoryAgent Tool
Quality Score76/100
Open Issues1
Last Updated2026-09-27
Created2025-12-11
Platformscli, python
Est. Tokens~20k

About quorum-cli

Quorum 🌐 Web Version Now Available! Try Quorum in your browser at quorumai.dev AI War Room in your terminal. Watch GPT, Claude, Gemini, and Grok debate using formal methods. Now with MCP support for Claude Code/Desktop. Multi-agent AI discussion system for structured debates.

Compatible Skills

These tools work well together with quorum-cli for enhanced workflows:

  • agent-builder — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • LiteMultiAgent — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • TapeAgents — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • claude-plugins — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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