Orchestrate adversarial reviews among three or more LLMs to identify design flaws.
npx skills add https://github.com/baekenough/second-brain --skill omcustom-agora
Please help me install this Agent Skill. Skill: omcustom:agora Source: https://github.com/baekenough/second-brain/tree/main/.claude/skills/agora Command: npx skills add https://github.com/baekenough/second-brain --skill omcustom-agora
orchestrates a multi-LLM adversarial review loop to identify flaws in designs and specifications, driving toward unanimous consensus.
Provide a target document path and optional parameters to initiate an Agora adversarial review.
High-intent search queries and answers about installing and using this skill.
Multi-LLM adversarial consensus coordinates three or more LLMs, such as Claude and Gemini, to critique software architecture and product specifications. It enforces iterative rounds to drive toward unanimous consensus and eliminate design flaws.
Automated consensus reporting aggregates cross-review findings from agent teams into a final consensus report. It synthesizes critiques from multiple LLMs to output recommended actions for build or redesign.
Yes, the adversarial review workflow supports configurable rounds, severity thresholds, and model composition. You can adjust these parameters to control agent-team coordination and cross-review communication.
The best way to eliminate edge cases in high-risk product specifications is an adversarial review. Multiple LLMs critique the design iteratively until a unanimous consensus is reached and flaws are eliminated.
Yes, adversarial consensus applies to high-risk design documents and product specifications across collaborative environments. It extends beyond software architecture to eliminate flaws in any detailed specification.
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