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/meta-prompt)<a href="https://agentmods.dev/commands/nyldn/claude-octopus/meta-prompt"><img src="https://agentmods.dev/badge/commands/nyldn/claude-octopus/meta-prompt/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/meta-prompt"><img src="https://agentmods.dev/badge/commands/nyldn/claude-octopus/meta-prompt.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 | $0.00016 | $0.00252 |
| Opus 5 | $0.00008 | $0.00126 |
| Sonnet 5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
meta-prompt scanned grade A with 0 findings 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
86% identical to octo-meta-prompt — 3 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.
What it actually says
/octo:meta-prompt
Your first output line MUST be: 🐙 Octopus Meta-Prompt
Generate well-structured, verifiable prompts using proven meta-prompting techniques.
Usage:
/octo:meta-prompt
/octo:meta-prompt [task description]
What it does:
- Applies Task Decomposition for complex tasks
- Uses Fresh Eyes Review (different experts for creation vs. validation)
- Builds in Iterative Verification steps
- Enforces No Guessing (explicit uncertainty disclaimers)
- Assigns Specialized Experts for subtasks
See: skill-meta-prompt for full documentation.
Generated prompt includes:
- Role definition
- Structured instructions with phases
- Expert assignments
- Verification checkpoints
- Output format specification
Example:
/octo:meta-prompt create a code review checklist
→ What is the main goal?
→ What's the expected output?
→ How important is accuracy?
→ [Generates structured prompt with techniques applied]
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.
- 4d ago First seen · 46 lines · 16 tokens per session scan A 9bcc9f51e184
meta-prompt is a command published in the GitHub repository nyldn/claude-octopus (4,056 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 252 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to octo-meta-prompt, differing in 3 lines, and is treated as a copy.
Other commands, from other repositories
prompt-history
Manage history of created and optimized prompts.
prompt
Create or optimize prompts using best practices.
prompt-generator
Generate effective prompts for Claude 4.5 Sonnet to achieve user-defined outcomes.
stripe-backend
Centralized LLM prompt instructions for Copilot and Cursor, including scripts to convert and sync rules for Python, React, Shell, and TypeScript. Designed for rapid reuse and contribution across projects.
briefing-claude
Use when Claude keeps building the wrong UI and you are re-rolling prompts. How to write the brief, which references and constraints to give, how to iterate instead of starting over, and how to spot when it is guessing.
token-cost-audit
Audit LLM call sites for token and cost waste, quantify the savings, and apply the safe wins.