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.
npx skills add nyldn/claude-octopus --skill skill-meta-promptgit 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/skills/nyldn/claude-octopus/skill-meta-prompt)<a href="https://agentmods.dev/skills/nyldn/claude-octopus/skill-meta-prompt"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-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/skills/nyldn/claude-octopus/skill-meta-prompt"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-meta-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.03297 |
| Opus 5 | $0.00010 | $0.01648 |
| Sonnet 5 | $0.00004 | $0.00659 |
| Haiku 4.5 | $0.00002 | $0.00330 |
Grade A, and why
skill-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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta-Prompt Generator Skill
Overview
Generate well-structured, verifiable prompts for any use case. Applies proven meta-prompting techniques to minimize hallucination and maximize effectiveness.
┌─────────────────────────────────────────────────────────────────────────────┐
│ META-PROMPT GENERATION │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ Phase 1: Requirement Gathering │
│ → Understand the primary goal/role │
│ → Clarify expected outputs │
│ → Identify accuracy requirements │
│ ↓ │
│ Phase 2: Task Analysis │
│ → Apply Technique 1: Task Decomposition │
│ → Identify if complex enough for subtasks │
│ → Map dependencies between subtasks │
│ ↓ │
│ Phase 3: Expert Assignment │
│ → Apply Technique 5: Specialized Experts │
│ → Assign personas to subtasks │
│ → Apply Technique 2: Fresh Eyes Review │
│ ↓ │
│ Phase 4: Verification Design │
│ → Apply Technique 3: Iterative Verification │
│ → Build in checking steps │
│ → Apply Technique 4: No Guessing │
│ ↓ │
│ Phase 5: Prompt Assembly │
│ → Structure: Role, Context, Instructions, Constraints, Format │
│ → Add verification hooks │
│ → Include uncertainty disclaimers │
│ ↓ │
│ Phase 6: Output & Iteration │
│ → Present generated prompt │
│ → Offer refinement │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
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.
- 5d ago Changed · +1 lines a3e17f349286
- 11d ago First seen · 529 lines · 19 tokens per session scan A 62f88b6404b2
skill-meta-prompt is a skill published in the GitHub repository nyldn/claude-octopus (4,061 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 3,297 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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