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-architecturegit 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-architecture)<a href="https://agentmods.dev/skills/nyldn/claude-octopus/skill-architecture"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-architecture/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-architecture"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/skill-architecture.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 | $0.00519 |
| Opus 5.5 | $0.00008 | $0.00208 |
| Sonnet 5.5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
octopus-architecture 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 1mo 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture review
Load skills/blocks/engineering-method-selection.md from the installed plugin
and apply only the methods relevant to this task. Preserve this entry point's
execution contract and output format. Read referenced skills as instructions;
do not invoke the current command recursively or add provider calls from a seat.
Run this method on the current host. A routine architecture review makes zero additional provider dispatches.
--peer-review, an explicit independent-review
request, or an existing risk policy may add one bounded external reviewer through
Octopus routing. Report incomplete independent coverage if that reviewer cannot
read the source or does not return a grounded contribution.
Method
Read and apply skills/blocks/architecture-simplification.md from the installed
plugin root. Pin the source revision and inspect implementation, callers, tests,
recent churn, and failure behavior before recommending a boundary.
For a single simplification, produce one evidence-backed interface. For a design choice, produce two alternatives from the same immutable requirements:
- Draft A minimizes caller knowledge and configuration.
- Draft B makes the next demonstrated extension easier.
Label two host-generated drafts as correlated alternatives from one model. If an independent reviewer is authorized, send it the same source and requirements but not Draft A before its first response. Transport diversity does not prove model family diversity. Unknown family means unknown independence.
Completion
Return Evidence, Caller contract, Proposed interface, Migration, Test impact, and Decision. The decision is keep, simplify, or investigate.
simplify requires exact source evidence and a concrete caller example. A design
review never authorizes an automatic refactor.
LSP Integration
When the host exposes language-server tools, use document symbols, workspace symbols, definitions, and references to confirm module boundaries and caller relationships before proposing an interface. Treat LSP results as an index: verify consequential claims against source and tests, and fall back to repository search when the language server is unavailable or incomplete.
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.
- 1mo ago Changed · -138 lines · -5 tokens per session b0a176056948
- 1mo ago First seen · 193 lines · 24 tokens per session scan A 70e9b6c962d3
octopus-architecture is a skill published in the GitHub repository nyldn/claude-octopus (4,300 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 519 once invoked, about $0.0001 per session on Opus 5.5. 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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