No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ulyssestenn · Agent Tool · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is omt safe to install? View the security audit →
Ollama Model Tester A small, dependency-free CLI for running the same prompt against your local Ollama models and saving every response to disk — so you can compare models (or compare repeated runs of one model) side by side. It uses only the Python standard library: no required. Requirements Python 3.7 or newer Ollama running locally (the default ) At least one model pulled, e.g. Quick start Make sure Ollama is running, then: You'll be asked, in order: Which model to use (pick a number from your installed models) The prompt — type as many lines as you like, then put on its own line to finish How many times to run the prompt Temperature (–), or press Enter to use Ollama's default Whether to stream the responses live to the terminal It then runs the prompt the requested number of times and writes the results under . Command-line flags (optional) Every prompt above can be supplied up front, which makes the tool scriptable. Anything you omit is still asked interactively. |
| Stars | 51 |
| Forks | 1 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.4393671315517/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-04 |
| Created | 2026-06-04 |
| Platforms | cli, python |
| Est. Tokens | ~3k |
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omt is Ollama Model Test - Figure out the best model for the task. It is categorized as a Agent Tool with 51 GitHub stars.
omt is primarily written in Python. It covers topics such as ai-tools, cli, llm.
You can find installation instructions and usage details in the omt GitHub repository at github.com/ulyssestenn/omt. The project has 51 stars and 1 forks, indicating an active community.
omt is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to omt on Agent Skills Hub include captain-claw, guaardvark, agentic-signal. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: