← Back to Skills Marketplace
761
Downloads
0
Stars
11
Active Installs
1
Versions
Install in OpenClaw
/install ollama
Description
Run, tune, and troubleshoot local Ollama models with reliable API patterns, Modelfiles, embeddings, and hardware-aware deployment workflows.
Usage Guidance
This skill appears coherent for managing local Ollama models. Before installing or using it: 1) confirm you have the official 'ollama' binary on the machine (do not run untrusted installers); 2) review and explicitly approve any writes to ~/ollama/ (the skill stores durable operational notes there); 3) keep port 11434 bound to localhost unless you explicitly approve and configure auth/firewalls; 4) the skill may run local commands (ollama list/serve/run/etc.) — only grant access on machines you control. If you plan to use any cloud paths, verify the skill asks you first and inspect the exact endpoints before enabling them.
Capability Analysis
Type: OpenClaw Skill
Name: ollama
Version: 1.0.0
The Ollama skill bundle is designed to manage local LLM runtimes, focusing on installation, configuration, and troubleshooting. It uses a local directory (~/ollama/) for state persistence and interacts primarily with the local Ollama API (127.0.0.1:11434). The instructions in SKILL.md and setup.md emphasize user consent for remote exposure and data persistence, and all external network activity is directed to official endpoints (ollama.com) for documentation and model pulls. No evidence of data exfiltration, malicious execution, or unauthorized persistence was found.
Capability Assessment
Purpose & Capability
Name/description (local Ollama model management) align with required binaries (ollama) and optional tools (curl, jq). Required config paths (~/ollama/, ~/.ollama/) are consistent with storing durable local state for this purpose.
Instruction Scope
Runtime instructions focus on local CLI and local HTTP API calls (127.0.0.1:11434), Modelfile workflows, embeddings, and persistent notes under ~/ollama/. The skill explicitly instructs asking for user consent before creating memory files; nevertheless, any install operator should confirm before allowing writes to the home-directory memory.
Install Mechanism
Instruction-only skill with no install spec and no remote download/extract steps. Lowest-risk install posture (relies on existing 'ollama' binary and standard CLI tools).
Credentials
No environment variables or credentials requested. The only nontrivial access is to user config paths in the home directory (~/ollama/, ~/.ollama/) for durable state — this is proportional to the stated purpose but is a persistence/privacy consideration the user should accept explicitly.
Persistence & Privilege
always:false (not force-included). The skill can be invoked autonomously (platform default) but does not request elevated persistence or modify other skills. It documents guardrails around remote exposure and requests explicit approval for non-local binding or service-manager changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ollama - After installation, invoke the skill by name or use
/ollama - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with local model setup, stable JSON output, custom model workflows, safer remote access, and recovery playbooks.
Metadata
Frequently Asked Questions
What is Ollama?
Run, tune, and troubleshoot local Ollama models with reliable API patterns, Modelfiles, embeddings, and hardware-aware deployment workflows. It is an AI Agent Skill for Claude Code / OpenClaw, with 761 downloads so far.
How do I install Ollama?
Run "/install ollama" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ollama free?
Yes, Ollama is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ollama support?
Ollama is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created Ollama?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.
More Skills