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Automation
Skill

/model-cost-compare

Starter: compare model costs for a described task — maps task shape to the cheapest adequate seat and shows the price spread

From plugin
octo
4.1k70 skills49 agents53 commands18 hooks
Install
$ npx -y skills add nyldn/claude-octopus --skill model-cost-compare --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/model-cost-compare

Context preview

The summary Claude sees to decide when to auto-load this skill.

Starter: compare model costs for a described task — maps task shape to the cheapest adequate seat and shows the price spread

SKILL.md

model-cost-compare.SKILL.md
name: model-cost-compare
disable-model-invocation: true
description: "Starter: compare model costs for a described task — maps task shape to the cheapest adequate seat and shows the price spread"

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

1. **Classify the task.** Bucket it: mechanical (rename, format), standard coding, hard reasoning (architecture, security review), long-context (>200K tokens input), or web research. 2. **Estimate volume.** Rough input/output token estimate from the described scope (files touched × average size; state the assumption). 3. **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. 4. **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 `high` effort; only a bounded judgment-class call (ambiguous architecture, API design, product tradeoffs) justifies Fable 5.1 at twice the Opus price. 5. **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. 6. **Show the spread.** A three-row table: recommended seat, one cheaper-but-riskier option, one premium option, each with estimated dollars for this task.

Guardrails

  • Never recommend Fable 5.1, Astra, or fast-mode Opus by default; these premium seats are opt-in only.
  • Never recommend Fable 5.1 for security audits; its safety classifiers can refuse offensive-security phrasing. Security review goes to Opus 5 (see `skills/blocks/fable5-prompting.md`).
  • If the estimate exceeds $1, say so explicitly before any dispatch happens.
Read more
Ships withocto

Every AI model has blind spots. Claude Octopus supports twelve external provider integrations — Codex, Antigravity CLI, Copilot, Qwen, Ollama, Perplexity, OpenRouter, OrcaRouter, OpenCode, Cursor CLI, Grok, and Kimi Code — alongside the built-in Claude Code

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