Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jimmc414/claude-code-plugin-marketplace --skill local-llmgit clone --depth 1 https://github.com/jimmc414/claude-code-plugin-marketplaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/local-llm)<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/local-llm"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/local-llm/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jimmc414/claude-code-plugin-marketplace/local-llm"><img src="https://agentmods.dev/badge/skills/jimmc414/claude-code-plugin-marketplace/local-llm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.01928 |
| Opus 5 | $0.00048 | $0.00964 |
| Sonnet 5 | $0.00019 | $0.00386 |
| Haiku 4.5 | $0.00010 | $0.00193 |
Grade B, and why
local-llm scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo systemctl restart ollama Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:11434/v1/models How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local LLM Management
This skill provides comprehensive guidance for managing local LLM models via Ollama for development, testing, and production use.
Overview
Ollama provides a simple way to run large language models locally with:
- Easy model management (pull, run, stop)
- OpenAI-compatible API at
http://localhost:11434/v1 - GPU acceleration with automatic VRAM management
- Custom model creation via Modelfiles
Two-Tier Model Strategy
For efficient development workflows, use a two-tier approach:
| Tier | Purpose | Model Size | Speed | Use Case |
|---|---|---|---|---|
| Fast | Iteration | 3-4B params | 30+ tok/s | Sanity tests, CI/CD, rapid prototyping |
| Quality | Validation | 7-14B params | 5-15 tok/s | E2E testing, complex reasoning, final QA |
Recommended Model Combinations
| GPU VRAM | Fast Model | Quality Model |
|---|---|---|
| 4 GB | Qwen2.5 3B Q4 | Phi-3 4B Q4 |
| 6 GB | Qwen2.5 4B Q4 | Llama 3.2 8B Q4 |
| 8 GB | Llama 3.2 3B Q8 | DeepSeek-R1 8B Q4 |
| 12+ GB | Qwen2.5 7B Q4 | Llama 3.1 14B Q4 |
Create custom models using the templates in templates/ directory.
Quick Reference Commands
Running Models
# Interactive chat
ollama run <model-name>
# Single prompt (non-interactive)
echo "Your prompt" | ollama run <model-name>
# With verbose output (shows speed metrics)
echo "Your prompt" | ollama run <model-name> --verbose
Model Management
# List all models
ollama list
# Check currently loaded models (VRAM usage)
ollama ps
# Unload model to free VRAM
ollama stop <model-name>
# View model details
ollama show <model-name>
# View Modelfile configuration
ollama show <model-name> --modelfile
# Delete a model
ollama rm <model-name>
# Pull/update a model
ollama pull <model-name>
Service Management
# Check Ollama service status
systemctl status ollama
# Restart Ollama service
sudo systemctl restart ollama
# View Ollama logs
journalctl -u ollama -f
# Manual start (if service not running)
ollama serve
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 266 lines · 97 tokens per session scan B 60431f65e5c5
local-llm is a skill published in the GitHub repository jimmc414/claude-code-plugin-marketplace (4 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 1,928 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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