A skill that runs a hard, testable coding task through a multi-agent harness (configurable variant: the user PICKS which AI model runs the adversarial verification — including non-Anthropic models like DeepSeek, Qwen, Kimi, or a local Ollama/LM Studio model). Same plan → parallel variants (test-driven self-correction) → adversarial verification → synthesis pipeline as the pantheon base, but the verifier is chosen per run via a verifier argument and external/local models are driven through the codex CLI (which is itself a multi-provider router). Use when the user says "pantheon custom", "verify with deepseek/qwen", "use DeepSeek as the grader", "have a local model break it", "외부 모델로 검증", "딥시크로 채점", "큐원으로 검증", "오픈클로처럼 채점자 모델 골라서", "로컬 모델로 검증". If no model is given it defaults to Claude (same as the pantheon base). For the fixed presets use pantheon (Claude) / pantheon-x (GPT-5.5). For REVIEWING an existing project rather than generating code, use pantheon-gap-custom. Don't use for easy one-shot work (cost is high).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
A skill that runs a hard, testable coding task through a multi-agent harness (configurable variant: the user PICKS which AI model runs the adversarial verification — including non-Anthropic models like DeepSeek, Qwen, Kimi, or a local Ollama/LM Studio model). Same plan → parallel variants (test-driven self-correction) → adversarial verification → synthesis pipeline as the pantheon base, but the verifier is chosen per run via a verifier argument and external/local models are driven through the codex CLI (which is itself a multi-provider router). Use when the user says "pantheon custom", "verify with deepseek/qwen", "use DeepSeek as the grader", "have a local model break it", "외부 모델로 검증", "딥시크로 채점", "큐원으로 검증", "오픈클로처럼 채점자 모델 골라서", "로컬 모델로 검증". If no model is given it defaults to Claude (same as the pantheon base). For the fixed presets use pantheon (Claude) / pantheon-x (GPT-5.5). For REVIEWING an existing project rather than generating code, use pantheon-gap-custom. Don't use for easy one-shot work (cost is high).
Quick start
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A skill that runs a hard, testable coding task through a multi-agent harness (configurable variant: the user PICKS which AI model runs the adversarial verification — including non-Anthropic models like DeepSeek, Qwen, Kimi, or a local Ollama/LM Studio model). Same plan → parallel variants (test-driven self-correction) → adversarial verification → synthesis pipeline as the pantheon base, but the verifier is chosen per run via a `verifier` argument and external/local models are driven through the `codex` CLI (which is itself a multi-provider router). Use when the user says "pantheon custom", "verify with deepseek/qwen", "use DeepSeek as the grader", "have a local model break it", "외부 모델로 검증", "딥시크로 채점", "큐원으로 검증", "오픈클로처럼 채점자 모델 골라서", "로컬 모델로 검증". If no model is given it defaults to Claude (same as the pantheon base). For the fixed presets use pantheon (Claude) / pantheon-x (GPT-5.5). For REVIEWING an existing project rather than generating code, use pantheon-gap-custom. Don't use for easy one-shot work (cost is high).
About this listing
Category
Engineering
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.