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 SethRobinson · LLM Plugin · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aitools_client safe to install? View the security audit →
Seth's AI Tools: A Unity based front-end for ComfyUI and Ollama (and others) that does things like generate photos and movies, Twine games, quizzes, posters and more. License: BSD style attribution, see LICENSE.md Download the latest: V3.0 (May 16th, 2026) AI Tools Client (Windows, 62 MB) Need an old version? The last pre-V2 version (that still supports Auto1111) can be downloaded here. NOTE: This software is hard to use because it kind of assumes you already know a lot of about ComfyUI and how to use local LLMs like llama.cpp or vllm. If this is all weird and strange, this is probably not the place for you to start.
| Stars | 187 |
| Forks | 22 |
| Language | C# |
| Category | LLM Plugin |
| Quality Score | 66.4491117373184/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-13 |
| Created | 2022-09-13 |
| Platforms | cli, dotnet |
| Est. Tokens | ~22k |
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aitools_client is Seth's AI Tools: A Unity based front end that uses ComfyUI and LLMs to create stories, images, movies, quizzes and posters. It is categorized as a LLM Plugin with 187 GitHub stars.
aitools_client is primarily written in C#. It covers topics such as anthropic, automatic1111, comfyui.
You can find installation instructions and usage details in the aitools_client GitHub repository at github.com/SethRobinson/aitools_client. The project has 187 stars and 22 forks, indicating an active community.
The top alternatives to aitools_client on Agent Skills Hub include samples, argo, agent-builder. 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.
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