local-llm-claude-code SKILL.md skillA

local-llm-claude-code from mjunaidca/mjs-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mjunaidca/mjs-agent-skills/local-llm-claude-code@git:20260718.66acb60

Pins git:20260718.66acb60 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mjunaidca/mjs-agent-skills
Path
.claude/skills/local-llm-claude-code/SKILL.md
Versions recorded
1
Latest version
git:20260718.66acb60, committed Jul 18, 2026
Size
5,697 bytes
Repository stars
28
License
none declared

Set up a FREE local LLM (via Ollama) and connect Claude Code to it so it runs offline with no API costs. Use this whenever the user wants to run Claude Code on a local/self-hosted model, use Ollama/Qwen/Llama/Mistral/DeepSeek with Claude Code, get a "free" or "offline" coding agent, avoid Anthropic API costs, point ANTHROPIC_BASE_URL at localhost, or asks "can my machine/VPS run a local LLM for Claude Code". Trigger even if they only say "run Claude Code locally", "local model for coding…

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

# Local LLM → Claude Code

Connect Claude Code to a locally-served open model. Since **Ollama v0.14+ natively speaks the
Anthropic Messages API** (`/v1/messages`), this needs **no proxy** — just three env vars.

## The one thing to say up front (set expectations honestly)

Making this *work* and making it *usable* are different. Two independent thresholds must BOTH
be cleared, and cheap hardware usually misses both:

1. **Capability** — the model must emit **valid structured tool calls, turn after turn**.
   Small models (≤1.7B) malform them (`args` object vs string, skipped tools). Fixed by a
   **bigger model** (≥14B, ideally a 30B-class MoE), NOT by faster hardware.
2. **Throughput** — the box must chew Claude Code's **~18,000-token system prompt** every turn
   fast enough to beat its request timeout. CPU-only = minutes/turn. Fixed by a **GPU**, NOT
   by a smarter model.

Say this to the user before installing, then read `references/hardware-sizing.md` and run
`scripts/check-hardware.sh` to give them a specific, honest verdict for their box.

## Workflow

Run these in order. Each script is idempotent and needs **no root** (user-space install).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mjunaidca/mjs-agent-skills/local-llm-claude-code@sha256:9eda1109dd9afb13

The line at the top of this page pins the label git:20260718.66acb60, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_u5ow6md3vgykb3jn.svg)](https://markdownregistry.com/a/art_u5ow6md3vgykb3jn)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 18, 2026.

versioncommittedcommitsizeaudit
git:20260718.66acb60 latest2026-07-18 66acb60 5,697 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5697 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

GitHub

mjunaidca/mjs-agent-skills · 28 stars · license none declared · pushed 2026-08-12 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_u5ow6md3vgykb3jn
GET https://markdownregistry.com/api/v1/resolve?ref=mjunaidca/mjs-agent-skills/local-llm-claude-code
GET https://markdownregistry.com/api/v1/blob/9eda1109dd9afb134028ed7ef5f56600794d9c1ada2a10deab89bf06a9a8390f

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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