← Back to Skills Marketplace
yrtrya5790343

Ollama Integration

by yrtryA5790343 · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
754
Downloads
1
Stars
7
Active Installs
1
Versions
Install in OpenClaw
/install ollama-integration
Description
Integrate and run local Ollama AI models with custom prompts for AI assistance and automatic model management.
Usage Guidance
This skill appears to be what it claims: a thin wrapper around the 'ollama' client for local model usage. Before installing: 1) Confirm you run an Ollama service locally and are comfortable exposing prompts to it. 2) Ensure your platform will install npm dependencies or pre-install the 'ollama' package; note package.json appears malformed and may need fixing. 3) Review the third-party 'ollama' npm package source (and its network behavior) if you need to be extra cautious. 4) Don't provide secrets or sensitive data to models unless you trust the local environment and the model's handling of data.
Capability Analysis
Type: OpenClaw Skill Name: ollama-integration Version: 1.0.0 The skill bundle provides integration with local Ollama models as described. The `ollama.js` file uses the legitimate `ollama` npm package to list models and generate responses, which involves expected local network communication with an Ollama server. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts against the OpenClaw agent in `SKILL.md`. All files align with the stated purpose without exhibiting any high-risk behaviors or malicious intent.
Capability Assessment
Purpose & Capability
Name/description match the code: the skill requires the 'ollama' library and exposes listing and generate/run functions for local Ollama models, which is exactly what the description promises.
Instruction Scope
SKILL.md is minimal and focused on local model integration; the implementation only calls ollama.list() and ollama.generate() and does not read arbitrary filesystem paths, environment variables, or contact external endpoints directly.
Install Mechanism
There is no explicit install spec. package.json declares a dependency on the npm package 'ollama', which is appropriate for this functionality, but package.json is written in a non-JSON style and may cause installation/runtime issues if the platform expects valid JSON or an install step. The skill does not pull code from arbitrary URLs or other high-risk sources.
Credentials
No environment variables, credentials, or config paths are requested. The skill's needs (a local Ollama client library) are proportionate to its stated purpose.
Persistence & Privilege
The skill does not request always:true or other elevated persistence, and it does not modify other skills or system-wide config. Default autonomous invocation is enabled (platform default) which is expected for skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ollama-integration
  3. After installation, invoke the skill by name or use /ollama-integration
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release for Ollama local model integration
Metadata
Slug ollama-integration
Version 1.0.0
License
All-time Installs 7
Active Installs 7
Total Versions 1
Frequently Asked Questions

What is Ollama Integration?

Integrate and run local Ollama AI models with custom prompts for AI assistance and automatic model management. It is an AI Agent Skill for Claude Code / OpenClaw, with 754 downloads so far.

How do I install Ollama Integration?

Run "/install ollama-integration" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ollama Integration free?

Yes, Ollama Integration is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Ollama Integration support?

Ollama Integration is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ollama Integration?

It is built and maintained by yrtryA5790343 (@yrtrya5790343); the current version is v1.0.0.

💬 Comments