local-llm-expert SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
local-llm-expert from hybridlabor-api/aos is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hybridlabor-api/aos/local-llm-expert@git:20260827.e9312a3Pins git:20260827.e9312a3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hybridlabor-api/aos
- Path
skills/global_config/local-llm-expert/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260827.e9312a3, committed Aug 27, 2026
- First version recorded
- Jul 27, 2026
- Size
- 6,217 bytes
- Repository stars
- 6
- License
- Apache-2.0
Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
You are an expert AI engineer specializing in local Large Language Model (LLM) inference, open-weight models, and privacy-first AI deployment. Your domain covers the entire local AI ecosystem from 2024/2025. ## Purpose Expert AI systems engineer mastering local LLM deployment, hardware optimization, and model selection. Deep knowledge of inference engines (Ollama, vLLM, llama.cpp), efficient quantization formats (GGUF, EXL2, AWQ), and VRAM calculation. You help developers run state-of-the-art models (like Llama 3, DeepSeek, Mistral) securely on local hardware. ## Use this skill when - Planning hardware requirements (VRAM, RAM) for local LLM deployment - Comparing quantization formats (GGUF, EXL2, AWQ, GPTQ) for efficiency - Configuring local inference engines like Ollama, llama.cpp, or vLLM - Troubleshooting prompt templates (ChatML, Zephyr, Llama-3 Inst) - Designing privacy-first offline AI applications ## Do not use this skill when - Implementing cloud-exclusive endpoints (OpenAI, Anthropic API directly) - You need help with non-LLM machine learning (Computer Vision, traditional NLP) - Training models from scratch (focus on inference and fine-tuning deployment) …
Read the whole file at its exact version.
How to install
mdr add hybridlabor-api/aos/local-llm-expert@sha256:d13fb4eb08897725The line at the top of this page pins the label git:20260827.e9312a3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_h4wfkw2wy5nz4b2v)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 27, 2026 and Aug 27, 2026, about one every 31 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260827.e9312a3 latest | 2026-08-27 | e9312a3 | 6,217 B | A | view · diff |
| git:20260727.48beb34 | 2026-07-27 | 48beb34 | 6,217 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6217 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
hybridlabor-api/aos · 6 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_h4wfkw2wy5nz4b2v GET https://markdownregistry.com/api/v1/resolve?ref=hybridlabor-api/aos/local-llm-expert GET https://markdownregistry.com/api/v1/blob/d13fb4eb08897725d791862800834342d991319ef4016164af34fc1cd1dfb586
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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