Choose how to handle repository initialization, code review, and security review requests. Start with Claude’s built-in commands for ordinary tasks, and route requests for multiple opinions, adversarial analysis, or specific providers to Octopus.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Use when choosing native or multi-LLM handling for init, review, or security requests
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than
/octo:*slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, seeskills/blocks/codex-host-adapter.md.
Use this skill when the user asks for repository initialization, code review, or security review and it is not yet clear whether Claude-native behavior is sufficient or whether Octopus escalation is warranted.
Claude-native first:
/init/review/security-reviewOctopus for escalation:
/octo:review/octo:security/octo:debate/octo:multiPrefer Claude-native behavior when all of the following are true:
Examples:
Escalate when the user asks for or clearly benefits from:
Examples:
/octo:review or /octo:security, treat that as an escalation request.Use wording like:
Claude-native first, Octopus for escalation. Use Claude-native
/reviewor/security-reviewfor ordinary requests. Use Octopus when you want multiple model opinions, adversarial review, or stricter multi-LLM workflows.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Interpret the saved results of a completed AI council review. Count verdicts, check whether enough participants responded and whether models are independent, surface substantive dissent, and explain what action the outcome supports.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a technical choice into a structured debate between different AI model families. Assign explicit positions, launch the discussion, and summarize agreement, disagreement, and a recommendation supported by the strongest argument that survives the debate.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Clarify a feature’s requirements with multiple AI providers, combining technical constraints with user and business needs. Produce a scoped definition covering priorities, edge cases, exclusions, and a requirements checklist before implementation begins.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review code or documents with available AI providers before delivery. Combine findings into a scored validation report that checks prior requirements and decisions, separates critical issues from warnings, and recommends next steps.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Develop complex features or business documents by gathering approaches from available AI providers. Combine their perspectives with prior project decisions and quality checks to produce a proposed plan, then proceed with implementation after user confirmation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Research technical, market, or academic topics through multiple available AI providers working in parallel. Combine their findings into a report that preserves disagreements, identifies gaps, attributes sources, and recommends next steps with priorities.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.