by Dimweaker · LLM Plugin · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Dimweaker/jev-libero.gitTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 83 |
| Forks | 2 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-09-19 |
| Platforms | python |
| Est. Tokens | ~15k |
Explore robot control with Jev, local physics previews, and configurable tasks. Open the interactive Decision Lab ↗ Demos · Quick start · How it works · Results · Task configs · 简体中文 Demos Close the microwaveClose the top drawer 14 decisions · 111 environment stepsMP4 · Full record2
These tools work well together with jev-libero for enhanced workflows:
Looking for a jev-libero alternative? If you're comparing jev-libero 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.
One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a br
Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz
Reusable project context and specialist workflows for the AI tools you already use. Agents, skills, rules and
Awesome LLM Papers and repos on very comprehensive topics.
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
Open-source robotics simulator for coding agents: HTTP/JSON + MCP control, Newton physics, wgpu rendering, ROS
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: