nano---Openclaw: Skill for Claude Code

.claude/skills/add-ollama-tool/SKILL.md

add-ollama-tool is a skill for Claude Code from ShinyStar307/nano---Openclaw. It costs 34 tokens per session (1,117 once invoked), scanned A, a copy of add-ollama-tool, MIT.

A setup guide for adding Ollama to a container-based coding agent. Ollama runs AI models locally, and MCP is the connection that exposes those models as agent tools.

In plain words
What is it for?
Use it to add tools for listing installed Ollama models and sending prompts to a chosen model, then configure the agent integration.
Why use it?
It lets the agent delegate tasks such as summaries, translations, and general questions to locally running models, provided Ollama and a model are installed.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is ShinyStar307/nano---Openclaw's own configuration. It tells Claude Code how to work on nano---Openclaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nano---Openclaw configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./container/build.sh.

Reuse

Borrowing it

Nothing to install: this file belongs to ShinyStar307/nano---Openclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ShinyStar307/nano---Openclaw/main/.claude/skills/add-ollama-tool/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ShinyStar307/nano---Openclaw

Made for: Claude Code.

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.

agentmods badge for add-ollama-tool

README.md
[![agentmods](https://agentmods.dev/badge/skills/shinystar307/nano---openclaw/add-ollama-tool/github.svg)](https://agentmods.dev/skills/shinystar307/nano---openclaw/add-ollama-tool)
Your own site
<a href="https://agentmods.dev/skills/shinystar307/nano---openclaw/add-ollama-tool"><img src="https://agentmods.dev/badge/skills/shinystar307/nano---openclaw/add-ollama-tool/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.

agentmods 80×15 button for add-ollama-tool

Your own site · 80×15
<a href="https://agentmods.dev/skills/shinystar307/nano---openclaw/add-ollama-tool"><img src="https://agentmods.dev/badge/skills/shinystar307/nano---openclaw/add-ollama-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,117 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.01117
Opus 5 $0.00017 $0.00558
Sonnet 5 $0.00007 $0.00223
Haiku 4.5 $0.00003 $0.00112

Measured 11d ago against content hash 6363b00da928, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

add-ollama-tool 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 11d 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.

2. Check Docker can reach the host: `docker run --rm curlimages/curl curl -s http://host.docker.internal:11434/api/tags`
Origin

This is a copy

89% identical to add-ollama-tool — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/add-ollama-tool/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add Ollama Integration

This skill adds a stdio-based MCP server that exposes local Ollama models as tools for the container agent. Claude remains the orchestrator but can offload work to local models.

Tools added:

  • ollama_list_models — lists installed Ollama models
  • ollama_generate — sends a prompt to a specified model and returns the response

Phase 1: Pre-flight

Check if already applied

Check if container/agent-runner/src/ollama-mcp-stdio.ts exists. If it does, skip to Phase 3 (Configure).

Check prerequisites

Verify Ollama is installed and running on the host:

ollama list

If Ollama is not installed, direct the user to https://ollama.com/download.

If no models are installed, suggest pulling one:

You need at least one model. I recommend:

ollama pull gemma3:1b    # Small, fast (1GB)
ollama pull llama3.2     # Good general purpose (2GB)
ollama pull qwen3-coder:30b  # Best for code tasks (18GB)

Phase 2: Apply Code Changes

Ensure upstream remote

git remote -v

If upstream is missing, add it:

git remote add upstream https://github.com/qwibitai/nanoclaw.git

Merge the skill branch

git fetch upstream skill/ollama-tool
git merge upstream/skill/ollama-tool

This merges in:

  • container/agent-runner/src/ollama-mcp-stdio.ts (Ollama MCP server)
  • scripts/ollama-watch.sh (macOS notification watcher)
  • Ollama MCP config in container/agent-runner/src/index.ts (allowedTools + mcpServers)
  • [OLLAMA] log surfacing in src/container-runner.ts
  • OLLAMA_HOST in .env.example

If the merge reports conflicts, resolve them by reading the conflicted files and understanding the intent of both sides.

Copy to per-group agent-runner

Existing groups have a cached copy of the agent-runner source. Copy the new files:

for dir in data/sessions/*/agent-runner-src; do
  cp container/agent-runner/src/ollama-mcp-stdio.ts "$dir/"
  cp container/agent-runner/src/index.ts "$dir/"
done

Read the full file on GitHub · 154 lines

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.

  1. 11d ago First seen · 154 lines · 34 tokens per session scan A 6363b00da928

Subscribe to this mod's changes

add-ollama-tool is a skill published in the GitHub repository ShinyStar307/nano---Openclaw (5 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 1,117 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 89% identical to add-ollama-tool, differing in 28 lines, and is treated as a copy.

Related

Other skills, from other repositories

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens

training-check

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

wanshuiyin/Auto-claude-code-research-in-sleep · 35 tokens

nemo-automodel-launcher-config

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills · 30 tokens