mc_aiplayer: Autonomous AI agent that plays Minecraft on its own — a server-side Fabric mod where a DeepSeek /

by zoyluoblue · Agent Tool · ★ 161

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How to install mc_aiplayer

git clone https://github.com/zoyluoblue/mc_aiplayer.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

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.

agentaiai-agentartificial-intelligenceautonomous-agentsdeepseekfabricfabric-modgame-aigpt

Quick Facts

Stars161
Forks7
LanguageJava
CategoryAgent Tool
LicenseMIT
Quality Score68/100
Open Issues3
Last Updated2026-09-02
Created2026-05-10
Platformsjava
Est. Tokens~19k

About mc_aiplayer

AIBot An autonomous AI agent that plays Minecraft. Tell it once, in plain language — it mines, builds, farms, fights, and survives on its own. English · 简体中文 LLM plans. Tasks execute. Bob survives. AIBot spawns a real server-side player that perceives the world, back-chains your goal into a complete plan, and carries it out on its own — mining, fighting, farming, surviving.

Compatible Skills

These tools work well together with mc_aiplayer for enhanced workflows:

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How this security grade is produced

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:

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