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Agent skill

Skippy Family Certification

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

A skill your agent uses when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Skippy Family Certification

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

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

GitHub CLI
$ gh skill install Mesh-LLM/mesh-llm skippy-family-certification --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-family-certification .claude/skills/skippy-family-certification && 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-family-certification
GitHub stars
3.5k
Token cost
~568 tokens
SKILL.md length
239 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split…

  • Works in 4 steps: Inspect the model with… → Use the GGUF/native model metadata for… → For dense models, validate at least one… → …
  • Certifying a GGUF model family for skippy stage-split serving
  • SKILL.md covers Workflow and Decision Rules
  • Calls cargo

What it does

Skippy Family Certification is an agent skill from Mesh-LLM/mesh-llm. Use this skill when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split certification docs.

Its SKILL.md is about 570 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

  • Certifying a GGUF model family for skippy stage-split serving
  • Reviewing capability data
  • Promoting family evidence into topology policy
  • Updating staged split certification docs

Example prompts

  • “/skippy-family-certification”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Inspect the model with skippy-runtime::ModelInfo or the skippy-model-package
  2. Use the GGUF/native model metadata for layer and state shape, and review
  3. For dense models, validate at least one representative two-stage boundary
  4. Compare staged output against full-model execution with the correctness

What it can do on your machine

Read from SKILL.md and the folder at commit 43ddd24. 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:

    • cargo

    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 Family Certification loads about 568 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 239 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
~568

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 43ddd24, republished under its Apache-2.0 licence (© Mesh-LLM). 239 words, ~568 tokens.

Download SKILL.mdSave it as .claude/skills/skippy-family-certification/SKILL.md (or your agent's skills folder).
name
skippy-family-certification
description
Use this skill when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split certification docs.
metadata.short-description
Certify model families for staged splits

skippy-family-certification

Use this skill for end-to-end family certification, not a one-off correctness smoke. Certification means collecting evidence for full-model parity, staged activation handoff, recurrent/hybrid state behavior, topology constraints, selected-device behavior, and package materialization.

Workflow

  1. Inspect the model with skippy-runtime::ModelInfo or the skippy-model-package helpers before choosing split points. Keep topology policy in skippy/crates/skippy-topology.

  2. Use the GGUF/native model metadata for layer and state shape, and review topology constraints in skippy/crates/skippy-topology. Do not enable default staged splits without evidence in skippy/docs/FAMILY_STATUS.md and the release-bound certification roster generated from ci/llama-canary/family-certified.json.

  3. For dense models, validate at least one representative two-stage boundary and one multi-stage boundary. For recurrent or hybrid families, validate recurrent ranges explicitly and treat recurrent owners as topology-affinity constraints.

  4. Compare staged output against full-model execution with the correctness harness when it is present. In this mesh repo, some standalone skippy harness crates may still be migration candidates; do not invent replacement commands without checking cargo metadata.

Decision Rules

Default activation wire dtype is f16. Treat q8 as per-family and per-split opt-in only after exactness evidence exists.

Do not recommend transferring recurrent state during normal decode unless the family has explicit reviewed evidence for it. Prefer sticky recurrent ownership and route future tokens for the same sequence back to those owners.

Keep lifecycle phases separate for large models: inspect/materialize, drop any full source model, then launch staged serving. Avoid holding a full source GGUF resident while testing staged servers.

© 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-family-certification of Mesh-LLM/mesh-llm.

Open the folder on GitHubat commit 43ddd24

Compare with similar skills

Skippy Family Certification 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 Family Certification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skippy Family Certification this skillMesh-LLM/mesh-llm3.5k—~568Automated 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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Works with

Categories

Questions about Skippy Family Certification

What does Skippy Family Certification do?

A skill your agent uses when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split…. Skippy Family Certification is an agent skill from Mesh-LLM/mesh-llm. Use this skill when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split certification docs.

When should I use Skippy Family Certification?

Skippy Family Certification fits situations like: certifying a GGUF model family for skippy stage-split serving; reviewing capability data; promoting family evidence into topology policy; updating staged split certification docs.

How do I install Skippy Family Certification in Claude Code?

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

How do I install Skippy Family Certification in Codex?

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

Can I use Skippy Family Certification 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-family-certification -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-family-certification, .gemini/skills/skippy-family-certification, .github/skills/skippy-family-certification and .opencode/skills/skippy-family-certification in your project.

What does Skippy Family Certification need to run?

Going by SKILL.md and its folder, Skippy Family Certification needs the command-line tools its instructions call (cargo).

Does Skippy Family Certification 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 Family Certification 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 Family Certification use?

Skippy Family Certification 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 Family Certification use?

About 568 tokens (SKILL.md is roughly 2.3k 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 Family Certification?

Skills that share tags, products or a category with Skippy Family Certification: 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 Family Certification?

Mesh-LLM (a GitHub organization) maintains it in Mesh-LLM/mesh-llm, which has 3,489 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 10, 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.