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 siva01c/claude-plugins --skill docker-modelgit clone --depth 1 https://github.com/siva01c/claude-pluginsWrote 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/siva01c/claude-plugins/docker-model)<a href="https://agentmods.dev/skills/siva01c/claude-plugins/docker-model"><img src="https://agentmods.dev/badge/skills/siva01c/claude-plugins/docker-model/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/siva01c/claude-plugins/docker-model"><img src="https://agentmods.dev/badge/skills/siva01c/claude-plugins/docker-model.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 | $0.01204 |
| Opus 5.5 | $0.00039 | $0.00482 |
| Sonnet 5.5 | $0.00019 | $0.00241 |
| Haiku 4.5 | $0.00010 | $0.00120 |
Grade A, and why
docker-model scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:12434/engines/v1/chat/completions \ How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Model Runner Skill
Docker Model Runner (DMR) manages and serves AI models through Docker Desktop
or Docker Engine, exposing OpenAI-compatible APIs. Models are pulled as
OCI artifacts from Docker Hub (ai/ namespace), any OCI registry, or
Hugging Face, and stored locally. For Drupal work it provides a free, local,
keyless backend for the AI module ecosystem during development.
Enabling
- Docker Desktop: Settings → enable Docker Model Runner (Beta features).
- Docker Engine (Linux): supported without Desktop; models are served on the host. GPU support: NVIDIA (CUDA), AMD (ROCm), Vulkan; Apple Silicon on macOS; CPU everywhere.
Core CLI
docker model status # is the runner active?
docker model pull ai/smollm2 # fetch a model (Docker Hub ai/ namespace)
docker model pull hf.co/bartowski/Llama-3.2-1B-Instruct-GGUF # from Hugging Face
docker model list # local models
docker model run ai/smollm2 "Hello" # one-shot prompt
docker model run ai/smollm2 # interactive chat (exit with /bye)
docker model configure --context-size 8192 ai/smollm2 # adjust context window
docker model inspect ai/smollm2 # model metadata
docker model logs # runner logs
docker model rm ai/smollm2 # delete local model
Run docker model --help for the full, current command list — the CLI is
still evolving.
OpenAI-compatible API
| Endpoint | Method |
|---|---|
/engines/v1/models |
GET |
/engines/v1/chat/completions |
POST |
/engines/v1/completions |
POST |
/engines/v1/embeddings |
POST |
Base URLs:
- From the host:
http://localhost:12434(default TCP port) - From containers (Docker Desktop):
http://model-runner.docker.internal - From containers (Docker Engine):
http://172.17.0.1:12434
curl http://localhost:12434/engines/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model": "ai/smollm2", "messages": [{"role": "user", "content": "Hi"}]}'
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.
- 1mo ago First seen · 138 lines · 97 tokens per session scan A c1a209276642
docker-model is a skill published in the GitHub repository siva01c/claude-plugins (16 stars, last pushed 28d ago), licensed MIT. It adds 97 tokens to every session and 1,204 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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