A way to run and manage large language models on your own computer through Ollama's local web service. It covers text generation, conversations, embeddings, structured JSON output, tool calls, and model management.

Use it when code connects to Ollama, needs local text or chat generation, creates embeddings, requests structured output, calls tools, or manages installed models.

It lets applications use local models through a consistent HTTP interface, without sending the model interaction to a separate hosted service.

ollama — Skill for Claude Code by datathings

Install

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.

Any agent

npx skills add datathings/marketplace --skill ollama

Clone the repo

git clone --depth 1 https://github.com/datathings/marketplace

Made for: Claude Code.

Or install ollama, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/datathings/marketplace/ollama/github.svg)](https://agentmods.dev/skills/datathings/marketplace/ollama)

Your own site

<a href="https://agentmods.dev/skills/datathings/marketplace/ollama"><img src="https://agentmods.dev/badge/skills/datathings/marketplace/ollama/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/datathings/marketplace/ollama"><img src="https://agentmods.dev/badge/skills/datathings/marketplace/ollama.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,796 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00057	$0.01796
Opus 5	$0.00028	$0.00898
Sonnet 5	$0.00011	$0.00359
Haiku 4.5	$0.00006	$0.00180

Measured 10d ago against content hash 2fc5655f923e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade B, and why

ollama 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 10d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

curl http://localhost:11434/api/pull -d '{"model": "llama3.2"}'

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:11434/api/pull -d '{"model": "llama3.2"}'

plugins/ollama/skills/ollama/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ollama API Reference (v0.31.1)

Ollama runs large language models locally. It exposes a REST API on http://localhost:11434 for text generation, chat, embeddings, model management, and more.

Key Concepts

Model names follow model:tag format (e.g., llama3.2:latest, orca-mini:3b-q8_0). Tag defaults to latest.
Streaming is enabled by default on generation endpoints. Disable with "stream": false.
Durations are returned in nanoseconds.
Tokens/sec = eval_count / eval_duration * 10^9.
keep_alive controls how long a model stays loaded in memory (default 5m). Set to 0 to unload immediately, -1 to keep loaded indefinitely.
Thinking models support "think": true (or "high", "medium", "low", "max") to enable chain-of-thought reasoning. Reasoning text is returned separately in the thinking field.
Structured output via "format" parameter: set to "json" for JSON mode, or pass a JSON Schema object.
Tool calling is supported in /api/chat by providing a tools array (and in /api/generate; tool calls come back in tool_calls).
Model capabilities — /api/tags and /api/show return a capabilities array (e.g. completion, tools, vision, thinking, insert, embedding).
Speculative decoding — the draft_num_predict option controls draft tokens per step; /api/create accepts draft_files/draft_quantize for draft models.
Logprobs — set "logprobs": true (and optional "top_logprobs", 0-20) on generate/chat to return token log probabilities.
Modelfile is a blueprint for creating custom models (FROM, PARAMETER, TEMPLATE, SYSTEM, ADAPTER, LICENSE, MESSAGE, REQUIRES instructions).
Compat endpoints — OpenAI-compatible /v1/chat/completions, /v1/completions, /v1/embeddings, /v1/models, /v1/responses and Anthropic-compatible /v1/messages are also served (native /api/* is preferred and documented here).

API Endpoints

Method	Path	Description
`POST`	`/api/generate`	Generate text completion (streaming)
`POST`	`/api/chat`	Chat completion with message history (streaming)
`POST`	`/api/embed`	Generate embeddings (single or batch)
`POST`	`/api/embeddings`	Generate embeddings (legacy, deprecated)
`GET`	`/api/tags`	List locally available models
`POST`	`/api/show`	Show model details and metadata
`POST`	`/api/create`	Create a model from Modelfile, GGUF, or safetensors
`POST`	`/api/pull`	Pull/download a model from registry
`POST`	`/api/push`	Push a model to registry
`POST`	`/api/copy`	Copy/clone a model locally
`DELETE`	`/api/delete`	Delete a model
`GET`	`/api/ps`	List currently loaded/running models
`HEAD`	`/api/blobs/:digest`	Check if a blob exists
`POST`	`/api/blobs/:digest`	Upload a blob (for GGUF/safetensors creation)
`GET`	`/api/version`	Get Ollama server version
`GET`	`/api/experimental/model-recommendations`	Recommended models for this host (experimental)
`POST`	`/api/web_search`	Web search via Ollama cloud (experimental, needs `OLLAMA_API_KEY`)
`POST`	`/api/web_fetch`	Fetch a web page via Ollama cloud (experimental, needs `OLLAMA_API_KEY`)

Read the full file on GitHub · 112 lines

Files

What ships with it

5 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.

Changes

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.

10d ago First seen · 112 lines · 57 tokens per session scan B 2fc5655f923e

Subscribe to this mod's changes

ollama is a skill published in the GitHub repository datathings/marketplace (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 57 tokens to every session and 1,796 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, 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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