ryu-local-model

A guide for finding, installing and running a local GGUF AI model on a Ryu node. GGUF is a file format commonly used for locally served language models.

In plain words
What is it for?
Use it to search the model catalogue, check device fit, install a chosen quantization, activate the model and inspect available engines.
Why use it?
It explains how to choose a model that fits the device and how to activate it without guessing the required model and engine steps.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/amajorai/ryu/ryu-local-model
Any agent
npx skills add amajorai/ryu --skill ryu-local-model
Clone the repo
git clone --depth 1 https://github.com/amajorai/ryu

Made for: Claude Code, Codex.

Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,023 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00075 $0.01023
Opus 5 $0.00037 $0.00511
Sonnet 5 $0.00015 $0.00205
Haiku 4.5 $0.00007 $0.00102

Measured 3d ago against content hash baa84e8b0e0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ryu-local-model 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 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.

Makes network callslowCapability

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

curl -s "http://127.0.0.1:7980/api/models/catalog?query=llama&format=gguf&sort=trending&limit=10"
apps/skills/ryu-local-model/SKILL.md · 88 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 88 lines · 75 tokens per session scan A baa84e8b0e0f

Subscribe to this mod's changes

ryu-local-model is a skill published in the GitHub repository amajorai/ryu (38 stars, last pushed 3d ago), with no licence file. It adds 75 tokens to every session and 1,023 once invoked, about $0.0004 per session on Opus 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 2026-08-30.

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