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 RomanSlack · AI Tool · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jev-drone safe to install? View the security audit →
jev-drone An autonomous quadrotor flies a five-station obstacle course in MuJoCo using only its onboard camera. A small judgment model (TypeSafe's Jev) sits at 2.5 Hz and decides what the situation means; everything time-critical stays in ordinary code. The drone is the Skydio X2 from MuJoCo Menagerie a real airframe with four rotors, flown by a geometric controller. Nothing about the flight is scripted. The idea Jev is not a vision model. It takes JSON and returns typed answers with probabilities. So it cannot be the perception layer, and it cannot run at control rate. What it can do is answer small questions about a situation that ordinary code finds hard to phrase. Classical CV turns the depth and segmentation buffers into a compact scene: five forward range sectors, the height of whatever is blocking the path, whether its top edge is even visible, and where the target is. Jev reads that and answers three questions in one call: hol
| Stars | 83 |
| Forks | 5 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 60.3353144353004/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-17 |
| Created | 2026-09-16 |
| Platforms | python |
| Est. Tokens | ~16k |
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jev-drone is Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz. It is categorized as a AI Tool with 83 GitHub stars.
jev-drone is primarily written in Python. It covers topics such as autonomous-agents, drone, mujoco.
You can find installation instructions and usage details in the jev-drone GitHub repository at github.com/RomanSlack/jev-drone. The project has 83 stars and 5 forks, indicating an active community.
jev-drone is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jev-drone on Agent Skills Hub include omnisim, bagel, awesome-microduck. 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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