Ollama Model Tuner

Locally fine-tune Ollama models, prompts, and LoRAs using custom datasets and evaluation metrics without requiring cloud resources.

This package is misleading/incomplete: it advertises fine‑tuning and LoRA support but only contains a small inference script. Before installing or running it: (1) ask the author for the missing files (prompts/system.md) and a real CLI or entrypoint, (2) verify/obtain clear install instructions for the 'ollama' Python client and any dependencies, (3) review any additional code the author provides to confirm actual training steps, (4) run the code in an isolated environment (container/VM) and with non‑sensitive data, and (5) prefer skills with a verifiable source/homepage or published install mechanisms. If you need true local fine‑tuning, use a vetted tool or official Ollama documentation rather than this incomplete skill.

Type: OpenClaw Skill Name: ollama-model-tuner Version: 1.0.0 The skill bundle contains a Python script (`scripts/tune.py`) that is vulnerable to Local File Inclusion (LFI). The script directly uses `sys.argv[2]` as a file path for `dataset_file` without sanitization, allowing an attacker to read arbitrary files on the system by providing a malicious path. This critical vulnerability allows unauthorized data access, classifying the skill as suspicious.