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Agent skill

Skippy Model Package

by Mesh-LLM in Mesh-LLM/mesh-llm

A skill your agent uses when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Skippy Model Package

skills CLI
$ npx skills add Mesh-LLM/mesh-llm --skill skippy-model-package -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Mesh-LLM/mesh-llm skippy-model-package --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/skippy-model-package .claude/skills/skippy-model-package && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skippy-model-package
GitHub stars
3.5k
Token cost
~588 tokens
SKILL.md length
190 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or…

  • Inspecting GGUF models
  • SKILL.md covers Ownership, Commands and Cache Policy
  • Calls just and jq
  • Planning layer ranges

What it does

Skippy Model Package is an agent skill from Mesh-LLM/mesh-llm. Use this skill when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or GGUF writer integration.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with llama.cpp. The repository describes itself as: Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. The licence is Apache-2.0.

When your agent uses it

  • Inspecting GGUF models
  • Planning layer ranges
  • Validating skippy package artifacts
  • Fake packages for direct GGUFs

Example prompts

  • “/skippy-model-package”

What it can do on your machine

Read from SKILL.md and the folder at commit aaf5a6c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • just
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skippy Model Package loads about 588 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~588

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mesh-LLM/mesh-llm at commit aaf5a6c, republished under its Apache-2.0 licence (© Mesh-LLM). 190 words, ~588 tokens.

Download SKILL.mdSave it as .claude/skills/skippy-model-package/SKILL.md (or your agent's skills folder).
name
skippy-model-package
description
Use this skill when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or GGUF writer integration.
metadata.short-description
Inspect and package GGUF stages

skippy-model-package

Use this skill for model inspection, package planning, stage materialization, and cache behavior.

Ownership

Rust owns package manifests, topology planning inputs, cache policy, and mesh model-storage integration. The patched llama/skippy ABI owns GGUF tensor inspection and GGUF artifact writing.

The native package ABI is declared in include/skippy/model_package.h and implemented in src/skippy/model_package.cpp. Keep model inspection, tensor filtering, metadata copying, and package writing in that module; do not grow src/skippy.cpp with package behavior.

Direct GGUF loading in mesh should materialize as a fake package identity in the skippy runtime so the split-serving path can use the same package-backed stage machinery as Hugging Face packages.

Commands

Check current package names before running commands:

bash
just with-lld cargo metadata --no-deps --format-version 1 | jq -r '.packages[].name' | sort

Useful current checks in this repo:

bash
just with-lld cargo test -p skippy-runtime --lib
just with-lld cargo test -p skippy-topology --lib
just with-lld cargo test -p mesh-llm-host-runtime --lib inference::skippy

For a published layer package, prefer package-local diagnostics before a live split smoke. On macOS or Linux, just release-runtime-build cpu builds the skippy-package-builder Cargo binary and packages it with its native libraries. Replace <runtime-id> with the generated directory under dist/native-runtimes:

bash
just with-lld cargo test -p skippy-package-builder --bin skippy-package-builder
just release-runtime-build cpu
package_builder="dist/native-runtimes/<runtime-id>/tools/skippy-package-builder"
"$package_builder" preflight <package-dir> --stages 2

Cache Policy

Materialized stages are derived cache. Model storage commands may evict materialized stage artifacts without deleting the source model/package. Preserve pinned materialized artifacts unless the command explicitly asks for a stronger cleanup.

© Mesh-LLM, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/skippy-model-package of Mesh-LLM/mesh-llm.

Open the folder on GitHubat commit aaf5a6c

Compare with similar skills

Skippy Model Package next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skippy Model Package compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skippy Model Package this skillMesh-LLM/mesh-llm3.5k—~588Automated safety check: PassApache-2.0
Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide1.7k—~1.7kAutomated safety check: PassMIT
Gemma Trainergoogle-gemma/gemma-skills1k—~1.9kAutomated safety check: PassApache-2.0
Hugging Face LLM Trainerhuggingface/skills11k1 repos~7.2kAutomated safety check: PassApache-2.0
Hugging Face Local Modelshuggingface/skills11k3 repos~945Automated safety check: PassApache-2.0
Add Quantization Datatypeintel/auto-round1.6k—~1.5kAutomated safety check: PassApache-2.0

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  • Hugging Face Local Models

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Works with

Categories

Questions about Skippy Model Package

What does Skippy Model Package do?

A skill your agent uses when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or…. Skippy Model Package is an agent skill from Mesh-LLM/mesh-llm. Use this skill when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or GGUF writer integration.

When should I use Skippy Model Package?

Skippy Model Package fits situations like: inspecting GGUF models; planning layer ranges; validating skippy package artifacts; fake packages for direct GGUFs.

How do I install Skippy Model Package in Claude Code?

Run `npx skills add Mesh-LLM/mesh-llm --skill skippy-model-package -a claude-code`. Or copy the skill folder (.agents/skills/skippy-model-package in Mesh-LLM/mesh-llm) into .claude/skills/skippy-model-package in your project. Claude Code loads it when a task matches its description.

How do I install Skippy Model Package in Codex?

Run `npx skills add Mesh-LLM/mesh-llm --skill skippy-model-package -a codex`. Or copy the skill folder (.agents/skills/skippy-model-package in Mesh-LLM/mesh-llm) into .agents/skills/skippy-model-package in your project. Codex loads it when a task matches its description.

Can I use Skippy Model Package in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mesh-LLM/mesh-llm --skill skippy-model-package -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skippy-model-package, .gemini/skills/skippy-model-package, .github/skills/skippy-model-package and .opencode/skills/skippy-model-package in your project.

What does Skippy Model Package need to run?

Going by SKILL.md and its folder, Skippy Model Package needs the command-line tools its instructions call (just and jq).

Does Skippy Model Package access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skippy Model Package safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skippy Model Package use?

Skippy Model Package is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skippy Model Package use?

About 588 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skippy Model Package?

Skills that share tags, products or a category with Skippy Model Package: Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars), Gemma Trainer (google-gemma/gemma-skills, 1k stars), Hugging Face LLM Trainer (huggingface/skills, 11k stars) and Hugging Face Local Models (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skippy Model Package?

Mesh-LLM (a GitHub organization) maintains it in Mesh-LLM/mesh-llm, which has 3,487 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 9, 2026.

Source: Mesh-LLM/mesh-llm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.