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Claude Octopus
제작: nyldn · nyldn/claude-octopus
Run up to 8 models in parallel on the same task; surface where they disagree — that's where your blindspot is.
Octopus is a multi-model orchestration skill: define a task, it dispatches to N model providers, then highlights consensus and disagreement. Useful for research, design review, and plan critique where one model can have a confident-but-wrong opinion.
왜 쓰나요
핵심 기능
- Up to 8 models in parallel
- Disagreement highlighting
- Cost guard (caps spend per run)
- Supports Anthropic, OpenAI, Google, xAI, etc.
- Output is a single decision-aid Markdown
사용 사례
실전 활용법: Claude Octopus
언제 쓸까: You're about to commit to an architecture and want a second (and third, and fourth) opinion.
흐름
-
Brief
Provide the design doc + question.✓ 복사됨
→ Octopus dispatches to N models
-
Read disagreements
Skim only where models disagree.✓ 복사됨
→ Real risks surface
-
Decide
Resolve disagreements with a focused follow-up.✓ 복사됨
→ Documented decision
결과: Decision made with explicit awareness of where models disagree.
조합
다른 MCP와 조합해 10배 효율
Use Octopus on the proposed plan, then flow-next executes the agreed-on version
Combine claude-octopus with flow-next-skill: Use Octopus on the proposed plan, then flow-next executes the agreed-on version✓ 복사됨
비용 및 제한
운영 비용
- API 쿼터
- Per-provider limits
- 호출당 토큰
- N × normal
- 금액
- Pay-per-call across providers
- 팁
- Set the cost cap; use cheap models for the panel and one premium
보안
권한, 시크릿, 파급범위
최소 스코프: multi-provider keys
자격 증명 저장: API keys per provider in env
데이터 외부 송신: Each configured provider
절대 부여 금지: ship customer data through every provider blindly — review egress
문제 해결
자주 발생하는 오류와 해결
One provider 401s
Octopus continues with the rest; log shows which key
대안
Claude Octopus 다른 것과 비교
| 대안 | 언제 쓰나 | 단점/장점 |
|---|
| Single-model with self-critique | Cost-sensitive | Misses provider-specific blindspots |