Claude Octopus is an orchestration project that sends research, design, and coding tasks to Claude Code and other AI model providers so their results can be compared. Developers use it for multi-model work, disagreement detection, reviews, persistent context, and an optional workflow that moves from discovery through delivery. The catalogue entries are its commands, skills, agents, instructions, hooks, plugins, and settings.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/nyldn/claude-octopusWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/nyldn/claude-octopus/embrace)<a href="https://agentmods.dev/commands/nyldn/claude-octopus/embrace"><img src="https://agentmods.dev/badge/commands/nyldn/claude-octopus/embrace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/nyldn/claude-octopus/embrace"><img src="https://agentmods.dev/badge/commands/nyldn/claude-octopus/embrace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.03503 |
| Opus 5 | $0.00006 | $0.01751 |
| Sonnet 5 | $0.00002 | $0.00701 |
| Haiku 4.5 | $0.00001 | $0.00350 |
Grade A, and why
embrace scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
printf "ollama:%s\n" "$(command -v ollama >/dev/null 2>&1 && curl -sf http://localhost:11434/api/tags >/dev/null 2>&1 && echo available || echo missing)" This is a copy
100% identical to octo-embrace — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Embrace - Complete Double Diamond Workflow
Your first output line MUST be: 🐙 Octopus Embrace
MANDATORY COMPLIANCE — DO NOT SKIP
When the user invokes /octo:embrace, you MUST execute the full multi-LLM workflow below. You are PROHIBITED from:
- Deciding the task is "too simple" for the workflow
- Doing the task directly instead of running the phases
- Skipping phases because you judge them unnecessary
- Substituting your own approach for the structured workflow
The user chose /octo:embrace deliberately. Respect that choice.
EXECUTION MECHANISM — NON-NEGOTIABLE
Each phase MUST be executed through the orchestrate.sh entrypoint. Direct Skill calls for the workflow phases are not permitted because they can recursively reload command instructions. You are PROHIBITED from:
- Using the Agent tool to do research yourself instead of running the discovery phase
- Using WebFetch/Read/Grep as a substitute for multi-provider research
- Implementing code directly instead of running the develop phase
- Using a single code-reviewer agent instead of running the deliver phase
- Skipping
orchestrate.shcalls because "I can do this faster directly"
The ENTIRE POINT of /octo:embrace is multi-LLM orchestration. If you execute phases using only Claude-native tools (Agent, WebFetch, Write, Edit), you have violated the command's purpose even if you followed the phase structure.
Self-check after completion: You should be able to list the orchestrate.sh commands you ran. If you used only Claude-native tools, you executed incorrectly.
Step 1: Ask Clarifying Questions
AskUserQuestion({
questions: [
{
question: "What's the scope of this project?",
header: "Scope",
multiSelect: false,
options: [
{label: "Small feature", description: "Single component or small addition"},
{label: "Medium feature", description: "Multiple components or moderate complexity"},
{label: "Large feature", description: "System-wide changes or new subsystem"},
{label: "Full system", description: "Complete application or major architecture"}
]
},
{
question: "What areas require the most attention?",
header: "Focus Areas",
multiSelect: true,
options: [
{label: "Architecture design", description: "System structure and design patterns"},
{label: "Security", description: "Authentication, authorization, data protection"},
{label: "Performance", description: "Speed, scalability, optimization"},
{label: "User experience", description: "UI/UX and usability"}
]
},
{
question: "What's your preferred level of autonomy?",
header: "Autonomy",
multiSelect: false,
options: [
{label: "Supervised (default)", description: "Review and approve after each phase"},
{label: "Semi-autonomous", description: "Only intervene if quality gates fail"},
{label: "Autonomous", description: "Run all 4 phases automatically"},
{label: "Manual", description: "I'll guide each step explicitly"}
]
},
{
question: "Should critical decisions be stress-tested with a Multi-LLM debate?",
header: "Multi-LLM Debate Gates",
multiSelect: false,
options: [
{label: "Yes — debate at Define→Develop gate", description: "Recommended for Large/Full scope"},
{label: "Yes — debate at both gates", description: "Maximum rigor, uses external API credits"},
{label: "No — skip debates", description: "Standard workflow without debate checkpoints"},
{label: "Only if disagreement detected", description: "Auto-trigger when providers diverge"}
]
}
]
})
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 326 lines · 12 tokens per session scan A e669e1dd5a4b
embrace is a command published in the GitHub repository nyldn/claude-octopus (4,061 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 3,503 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to octo-embrace, differing in 6 lines, and is treated as a copy.
Other commands, from other repositories
ai-context
Generate, update, or audit AI IDE context files with AGENTS.md as the canonical shared context and tool-specific bridge files. Signal Gate principle — only what agents cannot discover: $ARGUMENTS.
sync
Analyze codebase and populate knowledge-base with conventions, patterns, and technical debt.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.