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gguf-quantization

gguf-quantization is a skill for Claude Code, Codex from raphaelmansuy/edgecrab. It costs 48 tokens per session (3,154 once invoked), scanned A, original, no licence file.

A guide to GGUF, a format for storing machine-learning models, and llama.cpp, software that runs them. It covers reducing model size from 2 to 8 bits for CPU or GPU use.

In plain words
What is it for?
Use it when deploying models on consumer computers, Apple Silicon devices, or systems without a dedicated GPU.
Why use it?
It helps reduce the hardware and memory needed to run models locally.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 93repo 3mo ago A scan 48 tokens no licence

Good fit Use it when deploying models on consumer computers, Apple Silicon devices, or systems without a dedicated GPU.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/raphaelmansuy/edgecrab/gguf
View source ↗ raphaelmansuy/edgecrab edgecrab.com
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 raphaelmansuy/edgecrab --skill gguf
Clone the repo
git clone --depth 1 https://github.com/raphaelmansuy/edgecrab

Made for: Claude Code, Codex.

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 gguf-quantization

README.md
[![agentmods](https://agentmods.dev/badge/skills/raphaelmansuy/edgecrab/gguf/github.svg)](https://agentmods.dev/skills/raphaelmansuy/edgecrab/gguf)
Your own site
<a href="https://agentmods.dev/skills/raphaelmansuy/edgecrab/gguf"><img src="https://agentmods.dev/badge/skills/raphaelmansuy/edgecrab/gguf/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 gguf-quantization

Your own site · 80×15
<a href="https://agentmods.dev/skills/raphaelmansuy/edgecrab/gguf"><img src="https://agentmods.dev/badge/skills/raphaelmansuy/edgecrab/gguf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,154 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00048 $0.03154
Opus 5.5 $0.00019 $0.01262
Sonnet 5.5 $0.00010 $0.00631
Haiku 4.5 $0.00005 $0.00315

Measured 2mo ago against content hash 719b2bbe316d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gguf-quantization 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 2mo 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.

skills/mlops/inference/gguf/SKILL.md · 431 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. 2mo ago First seen · 431 lines · 48 tokens per session scan A 719b2bbe316d

Subscribe to this mod's changes

gguf-quantization is a skill published in the GitHub repository raphaelmansuy/edgecrab (93 stars, last pushed 3mo ago), with no licence file. It adds 48 tokens to every session and 3,154 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Data and AIHardware and IoTLLMagentic-aiai-agentautonomous-agentclimcp
Related

gguf-quantization compared with skills from other repositories

gguf-quantization next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
gguf-quantizationraphaelmansuy/edgecrabSkill933mo agononeA48Claude Code, Codex
building-agentsericrisco/rsc-harnessSkill5032d agoMITA85Claude Code, Codex
agent-evalericrisco/rsc-harnessSkill5032d agoMITA79Claude Code, Codex
prompt-engineeringericrisco/rsc-harnessSkill5032d agoMITA83Claude Code, Codex
mcp-tool-developerLiHongwei-cn/lihongwei-cnSkill529d agoMITA38Claude Code, Codex
ai-engineering-toolkitLiHongwei-cn/lihongwei-cnSkill529d agoMITA47Claude Code, Codex
spark-training-gotchaswshobson/agentsSkill42kyesterdayMITA63Claude Code