by SethRobinson · LLM Plugin · ★ 188
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 188 |
| Forks | 23 |
| Language | C# |
| Category | LLM Plugin |
| Quality Score | 66/100 |
| Open Issues | 4 |
| Last Updated | 2026-11-06 |
| Created | 2022-09-13 |
| Platforms | dotnet |
| Est. Tokens | ~22k |
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.
Looking for a aitools_client alternative? If you're comparing aitools_client with other llm plugin tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Agent samples built using the Strands Agents SDK.
ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloa
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder c
This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite
Dialectical reasoning architecture for LLMs (Thesis → Antithesis → Synthesis)
A local sandbox for your AI agents
Explore other popular llm plugin tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: