openrouter-models

openrouter-models is a skill for Claude Code from dryvist/claude-code-plugins. It costs 52 tokens per session (1,445 once invoked), scanned A, original, Apache-2.0.

A guide for choosing among AI models hosted by a shared model-routing service, using the current model list, prices, and a spending limit. A model router is a service that sends each request to a selected AI model.

In plain words
What is it for?
Use it when deciding whether a task needs a stronger hosted model, checking available model IDs and prices, staying within a daily budget, or requesting access to an unsupported model.
Why use it?
It avoids using an unavailable model, spending without tracking the cost yourself, or overlooking warnings about free models logging prompts.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; positional $N argument.

Part of the ai-delegation plugin — 7 skills shipped together

Good fit Use it when deciding whether a task needs a stronger hosted model, checking available model IDs and prices, staying within a daily budget, or requesting access to an unsupported model.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dryvist/claude-code-plugins/openrouter-models
Install

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.

Any agent
npx skills add dryvist/claude-code-plugins --skill openrouter-models
Clone the repo
git clone --depth 1 https://github.com/dryvist/claude-code-plugins

Made for: Claude Code.

Or install ai-delegation, the plugin that ships this one along with the rest of its 7 skills.

Wrote 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.

agentmods badge for openrouter-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/dryvist/claude-code-plugins/openrouter-models/github.svg)](https://agentmods.dev/skills/dryvist/claude-code-plugins/openrouter-models)
Your own site
<a href="https://agentmods.dev/skills/dryvist/claude-code-plugins/openrouter-models"><img src="https://agentmods.dev/badge/skills/dryvist/claude-code-plugins/openrouter-models/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.

agentmods 80×15 button for openrouter-models

Your own site · 80×15
<a href="https://agentmods.dev/skills/dryvist/claude-code-plugins/openrouter-models"><img src="https://agentmods.dev/badge/skills/dryvist/claude-code-plugins/openrouter-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,445 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01445
Opus 5.5 $0.00021 $0.00578
Sonnet 5.5 $0.00010 $0.00289
Haiku 4.5 $0.00005 $0.00145

Measured 10d ago against content hash e17413ac2df3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openrouter-models scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsS --max-time 15 https://openrouter.ai/api/v1/models | jq '
ai-delegation/skills/openrouter-models/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

openrouter-models

Your locally served brain handles routine work. For reasoning or coding where a stronger hosted model would genuinely change the outcome, escalate through the shared router — a deliberate per-call choice, never an automatic on-error fallback. This skill covers what is available, what it costs, and the rules around it. local-subagents covers when to delegate and the mechanics of the call.

The model set is enforced; the budget is yours to enforce

Two different kinds of limit. Treating them the same is how money gets spent.

Enforced at the router: the set of models your credential may reach. That is an allowlist you cannot edit, so a 400 for an unlisted model means the policy worked — it costs nothing and is a correct answer.

NOT enforced, in the general case: your spend. Metering spend per caller needs shared state plus a credential per caller, and a deliberately stateless router may have neither. Where that is so, no ceiling exists anywhere except in your own behaviour.

The budget: $1.00 per day, self-enforced

That is the standing default, and it is real only because you apply it. If your deployment states a different figure, use theirs; if it states none, use this one. Do not proceed without a number — "stop at the cap" means nothing if no cap is named, and an unnamed cap is how an account-wide credential ends up metered by nothing at all.

  • Track your spend yourself. Keep a running total in memory keyed by day (openrouter-spend-<YYYY-MM-DD>). After each paid call, estimate its cost from the response's token usage times the per-token prices you discovered, and add it. Check the total before every paid call.
  • Stop at $1.00. At or above it, use the locally served tier or a :free variant instead, and note the deferral. Nothing else will stop you.
  • Never read "nothing stopped me" as permission. An unenforced limit is still a limit; it is just one only you can apply.
  • Prefer free variants whenever they are adequate, subject to the egress rule below. Never run a long unattended loop on a paid model — an unattended loop is exactly where self-enforcement fails silently.
  • Report what you have used when you report spend-relevant work, so a human can see the total you are enforcing against.

Read the full file on GitHub · 136 lines

Changes

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.

  1. 10d ago Changed e17413ac2df3
  2. 1mo ago Changed · -9 tokens per session a6cecf101738
  3. 1mo ago Changed 679a4d9cfd14
  4. 1mo ago First seen · 136 lines · 61 tokens per session scan A 13365f6dd26b

Subscribe to this mod's changes

openrouter-models is a skill published in the GitHub repository dryvist/claude-code-plugins (3 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 1,445 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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