deliberation: Ask Codex, Gemini, Grok, and 400+ OpenRouter models for second opinions or arbiter-mediated consensus

by antonbabenko · MCP Server · ★ 178

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

How to install deliberation

/plugin install deliberation@antonbabenko

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

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. Full audit →

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.

ai-agentsai-codingclaudeclaude-codeclaude-code-plugincode-reviewcodexconsensusdeveloper-toolsgemini

Quick Facts

Stars178
Forks11
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-10-15
Created2026-05-13
Platformsclaude-code, codex, gemini, mcp, node
Est. Tokens~18k

About deliberation

Deliberation Get a second opinion in Claude Code from GPT, Gemini, and Grok - plus 400+ more models through OpenRouter, including Qwen, Kimi, and DeepSeek. Seven domain experts (Architect, Code Reviewer, Security Analyst, and four more) review your plans, find bugs, and debate edge cases until they agree.

Compatible Skills

These tools work well together with deliberation for enhanced workflows:

  • zeroclaw-grok — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • cc-plugin-codex — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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