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 octopus-researchgit 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/octopus-research)<a href="https://agentmods.dev/skills/nyldn/claude-octopus/octopus-research"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/octopus-research/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/octopus-research"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/octopus-research.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 | $0.00019 | $0.01832 |
| Opus 5 | $0.00010 | $0.00916 |
| Sonnet 5 | $0.00004 | $0.00366 |
| Haiku 4.5 | $0.00002 | $0.00183 |
Grade A, and why
octopus-research 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 6d 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
88% identical to octopus-research — 42 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than
/octo:*slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, seeskills/blocks/codex-host-adapter.md.
⚠️ EXECUTION CONTRACT (MANDATORY - CANNOT SKIP)
This skill uses ENFORCED execution mode. You MUST follow this exact sequence.
STEP 1: Interactive Questions (BLOCKING - Answer before proceeding)
You MUST call AskUserQuestion with all 3 questions below BEFORE any other action.
AskUserQuestion({
questions: [
{
question: "How deep should the research go?",
header: "Research Depth",
multiSelect: false,
options: [
{label: "Quick overview (Recommended)", description: "1-2 min, surface-level"},
{label: "Moderate depth", description: "2-3 min, standard"},
{label: "Comprehensive", description: "3-4 min, thorough"},
{label: "Deep dive", description: "4-5 min, exhaustive"}
]
},
{
question: "What's your primary focus area?",
header: "Primary Focus",
multiSelect: false,
options: [
{label: "Technical implementation (Recommended)", description: "Code patterns, APIs"},
{label: "Best practices", description: "Industry standards"},
{label: "Ecosystem & tools", description: "Libraries, community"},
{label: "Trade-offs & comparisons", description: "Pros/cons analysis"}
]
},
{
question: "How should the output be formatted?",
header: "Output Format",
multiSelect: false,
options: [
{label: "Detailed report (Recommended)", description: "Comprehensive write-up"},
{label: "Summary", description: "Concise findings"},
{label: "Comparison table", description: "Side-by-side analysis"},
{label: "Recommendations", description: "Actionable next steps"}
]
}
]
})
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 209 lines · 19 tokens per session scan A bb5dfec5c7af
octopus-research is a skill published in the GitHub repository nyldn/claude-octopus (4,061 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 1,832 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to octopus-research, differing in 42 lines, and is treated as a copy.
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