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 | $0.00659 |
| Opus 5 | $0.00014 | $0.00329 |
| Sonnet 5 | $0.00006 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
model-cost-compare scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Cost Comparison (Starter Pack)
Answer "which model should I use for this, and what will it cost?" with numbers instead of vibes.
When to use
The user describes a task (bulk refactor, deep review, quick lookup, long-context analysis) and wants the cheapest seat that is still adequate.
Steps
- Classify the task. Bucket it: mechanical (rename, format), standard coding, hard reasoning (architecture, security review), long-context (>200K tokens input), or web research.
- Estimate volume. Rough input/output token estimate from the described scope (files touched × average size; state the assumption).
- Price the roster. Using the cost table in CLAUDE.md ($/MTok input/output), compute the estimated cost for each plausible seat: Claude Opus 5 ($5/$25), Claude Sonnet 5 ($2/$10), Fable 5.1 ($10/$50, 1M context, explicit-only), Codex GPT-5.6 Sol ($4/$20), Terra ($2/$12), Luna ($0.20/$1.20), GPT-6 Astra ($10/$50, explicit-only), Perplexity Sonar Pro ($3/$15), and the included-cost seats (agy, copilot, ollama, cursor-agent) at $0. 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 Opus 5 at
higheffort; only a bounded judgment-class call (ambiguous architecture, API design, product tradeoffs) justifies Fable 5.1 at twice the Opus price. - Check risk surfaces. Regardless of the classification, escalate specifically to 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.
- 3d ago Changed 087c67bc87db
- 4d 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 (4,056 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 659 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 2026-09-05.
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.
cfo
Orchestrates the finance domain -- assesses financial posture, recommends budgeting and reporting actions, and delegates to finance specialist agents. Use individual finance agents for focused tasks; use this agent for cross-cutting financial strategy and multi-agent coordination.
ops-advisor
Use this agent when you need to track operational expenses, manage domain registrations, or get hosting recommendations. Use ops-research for live research and provider comparison; use ops-provisioner for account setup; use cfo for financial analysis and budgeting; use this agent for reading and updating the expense…
pricing-strategist
Designs and analyzes SaaS pricing strategy -- pricing research methods, tier design, value metric selection, and competitive pricing analysis. Use deal-architect for deal-level negotiation and proposals; use revenue-analyst for company-level revenue tracking and P&L modeling; use this agent for product pricing…
budget-analyst
Use this agent when you need to create budget plans, analyze spending allocation, model burn rate scenarios, or review budget-to-actual variance. Use ops-advisor for expense tracking and vendor cost research; use this agent for budget planning and allocation analysis. Use cfo for cross-cutting financial strategy.
financial-reporter
Use this agent when you need to generate financial summaries, cash flow statements, periodic financial reports, or investor-ready financial overviews. Use budget-analyst for budget planning; use revenue-analyst for forecasting; use this agent for synthesizing financial data into reports. Use cfo for cross-cutting…