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nyldn/claude-octopus

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Put up to 8 AI models on every coding task — blind spots surface before you ship. Claude Code plugin.

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Shell·MIT License·Last commit Apr 1, 2026·by @nyldn·Published April 1, 2026
A

Safety Rating A

The repository appears to be a legitimate open source developer tool with no red flags. API credentials are handled via environment variables and OAuth, not hardcoded. The README is straightforward product documentation with no obfuscated content or suspicious patterns. The project references well-known upstream projects with proper attribution and MIT licensing. No malicious code patterns, dependency manifests with known CVEs, or prompt injection attempts were detected in the available content.

AI-assisted review, not a professional security audit.

AI Analysis

Claude Octopus is a Claude Code plugin that orchestrates up to eight AI providers (Codex, Gemini, Copilot, Qwen, Ollama, Perplexity, OpenRouter, and Claude) in parallel on coding tasks. It implements a structured four-phase Double Diamond methodology (Discover, Define, Develop, Deliver) with consensus gates requiring 75% provider agreement before output is accepted. The system includes 32 specialized AI personas, 48 slash commands, 51 reusable skill modules, a smart intent router, an autonomous 'Dark Factory' pipeline mode, an MCP server for Cursor/OpenClaw integration, and a reaction engine that monitors CI and PR events.

Use Cases

  • Orchestrating multiple AI models in parallel to cross-check code quality and catch blind spots before shipping
  • Running structured AI-assisted software development workflows (research, design, TDD, security audit, PRD writing)
  • Autonomous spec-to-software pipelines via Dark Factory mode
  • Multi-AI debates to compare architectural approaches or technology choices
  • Security vulnerability scanning using OWASP methodology with multi-provider synthesis
  • Integrating AI workflows into Cursor IDE or messaging platforms (Telegram, Discord) via MCP server
  • Monitoring CI/PR events and automatically routing failures to AI agents for remediation

Tags

#ai-agents#multi-agent#mcp#workflow-automation#plugin

Security Findings (2)

hardcoded_secrets

No hardcoded secrets detected in the README or visible repository metadata. API keys are referenced as environment variables (OPENAI_API_KEY, GEMINI_API_KEY) in configuration examples, which is appropriate practice.

prompt_injection_attempt

No prompt injection attempts detected. The README content is consistent with legitimate product documentation and does not contain instructions designed to manipulate AI analysts.

Project Connections

Inspired by / successor to

obra/superpowers

Claude Octopus explicitly attributes obra/superpowers for discipline skills patterns, verification-before-completion philosophy, and two-stage review approach. The README directly compares the two projects, positioning Octopus as a multi-provider alternative to Superpowers' single-agent approach.

Complements

thedotmack/claude-mem

Claude Octopus integrates with claude-mem for persistent memory across sessions, allowing past decisions, research, and context to survive session boundaries.

Inspired by / successor to

wolverin0/claude-skills

Claude Octopus attributes wolverin0/claude-skills (AI Debate Hub) as a direct source of inspiration for its debate and multi-AI discussion features.

Complements

openclaw/openclaw

Claude Octopus ships a built-in compatibility layer and OpenClaw extension that exposes its workflows to messaging platforms (Telegram, Discord, Signal, WhatsApp) through OpenClaw's extension API.

Depends on / used by

nextlevelbuilder/ui-ux-pro-max-skill

Claude Octopus incorporates BM25 design intelligence databases from ui-ux-pro-max-skill for its /octo:design command, with explicit attribution in the README.

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