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Agent skill

Skippy Correctness

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

A skill your agent uses when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Skippy Correctness

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

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

GitHub CLI
$ gh skill install Mesh-LLM/mesh-llm skippy-correctness --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-correctness .claude/skills/skippy-correctness && 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-correctness
GitHub stars
3.5k
Token cost
~513 tokens
SKILL.md length
175 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch…

  • Validating skippy staged execution against full-model execution
  • SKILL.md covers What To Check and Commands
  • Calls cargo and jq
  • Adding model families

What it does

Skippy Correctness is an agent skill from Mesh-LLM/mesh-llm. Use this skill when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch behavior.

Its SKILL.md is about 510 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. 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

  • Validating skippy staged execution against full-model execution
  • Adding model families
  • Changing split boundaries
  • Testing activation wire dtypes

Example prompts

  • “/skippy-correctness”

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:

    • cargo
    • 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 Correctness loads about 513 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 175 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~513

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). 175 words, ~513 tokens.

Download SKILL.mdSave it as .claude/skills/skippy-correctness/SKILL.md (or your agent's skills folder).
name
skippy-correctness
description
Use this skill when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch behavior.
metadata.short-description
Validate staged execution exactness

skippy-correctness

Use this skill when staged execution must be proven equivalent to full-model execution.

What To Check

  • Single-stage direct GGUF parity.
  • Two-stage boundary parity for representative split points.
  • Multi-stage chain parity for package-backed serving.
  • Selected-device and pinned-device behavior.
  • Activation wire dtype exactness (f16 by default, q8 only with evidence).
  • Recurrent/hybrid family behavior and topology affinity.
  • Multimodal projector handling once native media execution is wired.

When native code moves between Skippy modules, preserve the existing capability boundary during validation:

  • execution and activation changes require direct, two-stage, and multi-stage parity coverage.
  • state changes require KV import/export, checkpoint, trim, and exact-prefix cache coverage.
  • sampling and speculative_decoding changes require deterministic sampling, draft acceptance, rejection recovery, and checkpoint cleanup coverage.
  • model_package changes require inspection, tensor filtering, and artifact writer coverage.

Do not put a test-only implementation hook back into src/skippy.cpp; keep the test with the capability that owns the behavior.

Commands

First check whether standalone correctness crates have been imported:

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

Current mesh-level checks:

bash
cargo test -p skippy-runtime --lib
cargo test -p skippy-serving --lib
cargo test -p mesh-llm-host-runtime --lib inference::skippy
cargo test -p mesh-llm-host-runtime --lib

If skippy-correctness is imported later, prefer that harness for model-backed exactness gates instead of adding one-off tests.

© 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-correctness of Mesh-LLM/mesh-llm.

Open the folder on GitHubat commit aaf5a6c

Compare with similar skills

Skippy Correctness 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 Correctness compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skippy Correctness this skillMesh-LLM/mesh-llm3.5k—~513Automated safety check: PassApache-2.0
Agent BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Categories

Questions about Skippy Correctness

What does Skippy Correctness do?

A skill your agent uses when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch…. Skippy Correctness is an agent skill from Mesh-LLM/mesh-llm. Use this skill when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch behavior.

When should I use Skippy Correctness?

Skippy Correctness fits situations like: validating skippy staged execution against full-model execution; adding model families; changing split boundaries; testing activation wire dtypes.

How do I install Skippy Correctness in Claude Code?

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

How do I install Skippy Correctness in Codex?

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

Can I use Skippy Correctness 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-correctness -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-correctness, .gemini/skills/skippy-correctness, .github/skills/skippy-correctness and .opencode/skills/skippy-correctness in your project.

What does Skippy Correctness need to run?

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

Does Skippy Correctness 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 Correctness 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 Correctness use?

Skippy Correctness 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 Correctness use?

About 513 tokens (SKILL.md is roughly 2.1k 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 Correctness?

Skills that share tags, products or a category with Skippy Correctness: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skippy Correctness?

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.