Borrowing it
Nothing to install: this file belongs to DingyangLyu/MatClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DingyangLyu/MatClaw/main/.claude/skills/add-ollama-tool/SKILL.mdgit clone --depth 1 https://github.com/DingyangLyu/MatClawWrote 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/dingyanglyu/matclaw/add-ollama-tool)<a href="https://agentmods.dev/skills/dingyanglyu/matclaw/add-ollama-tool"><img src="https://agentmods.dev/badge/skills/dingyanglyu/matclaw/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.
<a href="https://agentmods.dev/skills/dingyanglyu/matclaw/add-ollama-tool"><img src="https://agentmods.dev/badge/skills/dingyanglyu/matclaw/add-ollama-tool.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 | $0.00034 | $0.01162 |
| Opus 5 | $0.00017 | $0.00581 |
| Sonnet 5 | $0.00007 | $0.00232 |
| Haiku 4.5 | $0.00003 | $0.00116 |
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 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.
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` How it starts
The opening of the file, as written. The whole thing — 153 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 modelsollama_generate— sends a prompt to a specified model and returns the response
Phase 1: Pre-flight
Check if already applied
Read .matclaw/state.yaml. If ollama is in applied_skills, skip to Phase 3 (Configure). The code changes are already in place.
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
Run the skills engine to apply this skill's code package.
Initialize skills system (if needed)
If .matclaw/ directory doesn't exist yet:
npx tsx scripts/apply-skill.ts --init
Apply the skill
npx tsx scripts/apply-skill.ts .claude/skills/add-ollama-tool
This deterministically:
- Adds
container/agent-runner/src/ollama-mcp-stdio.ts(Ollama MCP server) - Adds
scripts/ollama-watch.sh(macOS notification watcher) - Three-way merges Ollama MCP config into
container/agent-runner/src/index.ts(allowedTools + mcpServers) - Three-way merges
[OLLAMA]log surfacing intosrc/container-runner.ts - Records the application in
.matclaw/state.yaml
If the apply reports merge conflicts, read the intent files:
modify/container/agent-runner/src/index.ts.intent.md— what changed and invariantsmodify/src/container-runner.ts.intent.md— what changed and invariants
Copy to per-group agent-runner
Existing groups have a cached copy of the agent-runner source. Copy the new files:
What ships with it
7 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.
- add/container/agent-runner/src/ollama-mcp-stdio.ts 5.1 KB runs code
- add/scripts/ollama-watch.sh 1.4 KB runs code
- manifest.yaml 389 B
- modify/container/agent-runner/src/index.ts 18 KB runs code
- modify/container/agent-runner/src/index.ts.intent.md 907 B
- modify/src/container-runner.ts 21 KB runs code
- modify/src/container-runner.ts.intent.md 735 B
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 · 153 lines · 34 tokens per session scan A f529a94f9bc1
add-ollama-tool is a skill published in the GitHub repository DingyangLyu/MatClaw (90 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,162 once invoked, about $0.0002 per session on Opus 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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