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 model-cost-comparegit 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/model-cost-compare)<a href="https://agentmods.dev/skills/nyldn/claude-octopus/model-cost-compare"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/model-cost-compare/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/model-cost-compare"><img src="https://agentmods.dev/badge/skills/nyldn/claude-octopus/model-cost-compare.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 | $0.00028 | $0.00710 |
| Opus 5.5 | $0.00011 | $0.00284 |
| Sonnet 5.5 | $0.00006 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
model-cost-compare scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 28d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Cost Comparison (Starter Pack)
Answer "which model should I use for this, and what will it cost?" with numbers instead of vibes.
When to use
The user describes a task (bulk refactor, deep review, quick lookup, long-context analysis) and wants the cheapest seat that is still adequate.
Steps
- Classify the task. Bucket it: mechanical (rename, format), standard coding, hard reasoning (architecture, security review), long-context (>200K tokens input), or web research.
- Estimate volume. Rough input/output token estimate from the described scope (files touched × average size; state the assumption).
- Price the roster. Using the cost table in CLAUDE.md ($/MTok input/output), compute the estimated cost for each plausible seat: Claude Opus 5.5 (4/20 USD), Claude Opus 5 (5/25 USD), Claude Sonnet 5 (2/10 USD), Fable 5.1 (10/50 USD, 1M context, explicit-only), Codex GPT-5.6 Sol (4/20 USD), Terra (2/12 USD), Luna (0.20/1.20 USD), GPT-6 Astra (10/50 USD, explicit-only), Perplexity Sonar Pro (3/15 USD), and the included-cost seats (agy, copilot, ollama, cursor-agent) at 0 USD. For Astra requests above 272K input tokens, apply 2x input and 1.5x output pricing to the full request.
- Recommend one seat. Pick the cheapest adequate option and defend it in two sentences. Mechanical work goes to included or budget seats; hard reasoning justifies the current Opus default at
higheffort; only a bounded judgment-class call (ambiguous architecture, API design, product tradeoffs) justifies Fable 5.1 at 10/50 USD per MTok. - Check risk surfaces. Regardless of the classification, escalate specifically to the current Opus default—Opus 5.5 on Claude Code v2.1.280+, otherwise Opus 5—when the task touches API or schema contracts, security-sensitive code or CI configuration, release artifacts, user-facing UI, a new module, or a breaking change. Fable 5.1 remains limited to bounded judgment-class calls and is never the security-audit seat. Astra is also explicit-only and does not provide independence from GPT-5.6. Cheap-seat agreement never settles a judgment-class decision.
- Show the spread. A three-row table: recommended seat, one cheaper-but-riskier option, one premium option, each with estimated dollars for this task.
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.
- 28d ago Changed b345f0d0522e
- 1mo ago Changed c4ccad1236cf
- 1mo ago Changed 087c67bc87db
- 1mo ago First seen · 29 lines · 28 tokens per session scan A e40013875dc5
model-cost-compare is a skill published in the GitHub repository nyldn/claude-octopus (4,320 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 710 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 2026-09-05.
Other skills, from other repositories
invoice
This skill should be used when the founder wants to get paid through their own Stripe account: list who owes them, create and send an invoice behind a human-approval preview, or chase an overdue one. Test-mode only in v1.
invest
First-time fork users: run the invest-setup skill first to initialize. The main flow lives in this skill (the AI agent uses the CLI/MCP to view the portfolio / run the committee / replay decision history). The Web GUI has been retired (2026-07) — every capability is exposed via CLI subcommands / MCP tools. The backend…
stock-screener
Screen stocks by fundamental and technical criteria using EODHD screener — filter by market cap, P/E, dividend yield, sector, signals, and more. Use when the user wants to find stocks matching specific criteria.
carta-download-tearsheet
Download tear sheets for your portfolio companies and funds on Carta. For tear sheet requests, use carta-lp-reporting-routing instead when it is installed.
merit-palk-employees
How to onboard employees and maintain contracts, contacts, and base salary agreements in Merit Palk via elnora-merit palk. Covers the sendemployees-vs-sendpayterms distinction, required import codes, and reading the employee / agreement lists. Use when: adding a new employee, creating a first contract, setting or…
merit-aktiva-workspace
Merit Aktiva accounting — routes work to the elnora-merit CLI, slash commands, and agents. Use when: looking up or creating invoices, recording payments, checking financial reports, managing customers/vendors, or any Merit Aktiva accounting task. TRIGGERS: "merit", "merit aktiva", "aktiva", "invoice", "sales invoice"…