by ColtonWilley · LLM Plugin · ★ 102
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 | 102 |
| Forks | 26 |
| Language | C++ |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 10 |
| Last Updated | 2026-04-02 |
| Created | 2026-03-02 |
| Est. Tokens | ~67k |
UE LLM Toolkit Give your AI the ability to actually see inside your Unreal project. A pure C++ plugin that exposes 37 tools and 200+ operations over HTTP, giving LLMs read/write access to major editor subsystems. Drop it into any UE 5.7 project and get a REST API that works with Claude Code, Cursor, Windsurf, or any HTTP client. No Python runtime in the editor. No MCP lock-in. Just HTTP + JSON.
Looking for a ue-llm-toolkit alternative? If you're comparing ue-llm-toolkit with other llm plugin tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Local-First Open Source web & mobile AI app builder — install on MacOS, Windows & Linux
LLM-powered assistant for creating, editing, and interpreting business process diagrams
OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch).
✦ The intuitive LLM framework
Automatic LLM-based video generation using the manim library. Usage of a code-writer and code-reviewer feedbac
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: