Codebase-level adversarial review by a panel of frontier models. A Claude Code skill that runs every file through DeepSeek + Gemini + Kimi + MiniMax in sequence, then has Claude verify the findings against the actual source.

Generalizing ARIS from 科研 to 研究 — same five-step loop (plan · draft · adversarial review · iterate · persist) applied beyond academic research to investment DD, legal, market, self-directed learning, journalism, engineering post-mortems (科研 ⊂ 研究) 🌱

Claude Code skill: Multi-agent adversarial review panel — 4-6 AI reviewers debate your code/plans, then a supreme judge delivers the verdict. 9 auto-detected signal groups, built-in domain checklists, anti-groupthink mechanisms.

One idea, two opposing expert views, one synthesized decision. A Claude Code workflow for adversarial product development — inspired by the I Ching.

Adversarial agent loops for verifiable vibe researching. Claude Code plugin. Falsification-first, not production-first.

Claude Code skill for adversarial AI code & plan review. One AI writes, another tears it apart. Iterative fix loop until approved.

Library of multi-agent teams built on Ejentum cognitive harnesses (adversarial code review, eval trio, side-by-side eval, n8n quickstart, harness integration patterns). Drop-in deployable artifacts for any agent runtime.

Review triad plugin for Claude Code: prompt optimization, adversarial red-team review, plan validation, and intelligent orchestration.

Standardized Claude Code bootstrap — drop-in .claude/ tree with a 19-agent adversarial review team, Ralph Loop, dev-flow skills, and an init script. Agnostic, project-ready.

OmniForge. Because merge requests deserve more than LGTM. 3 adversarial AI agents tear apart your code in isolated worktrees, auto-fix the findings, and forge MRs that actually have descriptions. One plugin to forge your MR lifecycle. Zero excuses.

MCP server for AgentDesk — independent adversarial review for AI agent outputs

Orchestrate parallel AI teammates in Claude Code — 2-skill pipeline (execute, audit) with per-task adversarial review (Executor → Reviewer → Challenger ephemeral), hook enforcement, and workspace tracking

Multi-model consensus system — 3 LLMs cross-examine each other to catch blind spots on critical decisions

Let your claude-code get second opinion and review cc execution results from Deepseek

Evidence-first coding agent for Claude Code CLI. Port of burkeholland/anvil from GitHub Copilot CLI.

Multi-agent AFK programming platform — AI agents plan, argue, code, and review autonomously

Cross-model adversarial review skill for Claude Code. Spawns an external LLM to challenge your plans, bug diagnoses, and code.

Adversarial business plan reviewer for founders: prompt pattern + methodology. Find every load-bearing claim that can't survive contact with reality.

Adaptive multi-agent phase verification for Claude Code. 2→7 fresh subagents, S/M/L sizing, security + architecture + adversarial audit baked in.

A 5-layer adversarial quality gate for Claude Code. Catches factual errors, score inflation, and buried conclusions before your AI output ships.