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 →
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Astra and JEV Minecraft agent This project uses GPT-6 Astra or GPT-5.6 Sol to plan and JEV to select player actions in Minecraft Java 1.16.5. It uses the official vanilla server and Mineflayer. A read-only Java sensor can report the exact dragon head position. It does not change game rules or entity state. Each selected action is sent to the game through the normal player protocol. Latest verified result The latest run, , completed in 8 minutes 43.300 seconds. The previous video took 14 minutes 31.800 seconds. The new run was 40% shorter. The End combat stage took 152 seconds instead of 332 seconds. Dragon flight and landing times can vary between runs. The agent started with an empty inventory in a fresh Survival/Peaceful world. Astra planned and JEV selected the actions. It used the Nether for travel, killed the dragon with six bed explosions on the first landing, and reached the exit with full health and no deaths. There was no restart, source change, or operator repair during the run. The run used 131 JEV decisions and 35 Astra calls. All 17 run checks, eight route/camera/screen checks, and 29 local tests passed.
| Stars | 127 |
| Forks | 12 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 54.93549731937/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-20 |
| Platforms | node |
| Est. Tokens | ~16k |
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minecraft-agent is Astra planner and JEV controller for Minecraft, with native recording, tested routes, and run verification.. It is categorized as a AI Tool with 127 GitHub stars.
minecraft-agent is primarily written in JavaScript.
You can find installation instructions and usage details in the minecraft-agent GitHub repository at github.com/rmalde/minecraft-agent. The project has 127 stars and 12 forks, indicating an active community.
The top alternatives to minecraft-agent on Agent Skills Hub include SciToolAgent, redesigned-pancake, claude-code-voice-skill. 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.
Sources & who's responsible: