llama-cpp-inference

Guidance for running GGUF language models locally with llama.cpp, a tool for model inference on personal computers and servers. It covers command-line and Python usage, CPU and GPU settings, and handling multiple requests together.

In plain words
What is it for?
Starting llama-server, running llama-cli, using llama-cpp-python, configuring CPU-and-GPU inference, and tuning continuous batching.
Why use it?
It helps configure local model serving and balance speed, hardware use, and concurrent workloads.

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/jayll1303/aiekit/llama-cpp-inference
Any agent
npx skills add jayll1303/AIEKit --skill llama-cpp-inference
Clone the repo
git clone --depth 1 https://github.com/jayll1303/AIEKit

Made for: Claude Code, Codex.

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,162 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 $0.00046 $0.03162
Opus 5 $0.00023 $0.01581
Sonnet 5 $0.00009 $0.00632
Haiku 4.5 $0.00005 $0.00316

Measured 2d ago against content hash 80d4c5fa010a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

llama-cpp-inference 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 2d 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.

**Validate:** `curl -s http://localhost:8080/health` returns `{"status":"ok"}`. Nếu không → check server logs, verify GGUF path, và `nvidia-smi` cho VRAM.
.kiro/skills/llama-cpp-inference/SKILL.md · 244 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

Files

What ships with it

2 files 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.

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. 2d ago First seen · 244 lines · 46 tokens per session scan A 80d4c5fa010a

Subscribe to this mod's changes

llama-cpp-inference is a skill published in the GitHub repository jayll1303/AIEKit (18 stars, last pushed 2mo ago), with no licence file. It adds 46 tokens to every session and 3,162 once invoked, about $0.0002 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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