mc-expert

mc-expert is an agent for coding agents from sikadi233-hub/mc-dev. It costs 142 tokens per session (1,651 once invoked), scanned A, original, MIT.

A planning and troubleshooting guide for Minecraft mod and plugin development across Forge, Fabric, NeoForge, Paper, and other platforms.

In plain words
What is it for?
Use it to plan new Minecraft features, understand APIs, debug problems, choose an approach, and hand off work to project-scaffolding or content tools.
Why use it?
It helps identify the right platform, version boundary, API approach, and implementation sequence before code is written or changed.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/sikadi233-hub/mc-dev/mc-expert
Clone the repo
git clone --depth 1 https://github.com/sikadi233-hub/mc-dev

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mc-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/sikadi233-hub/mc-dev/mc-expert.svg)](https://agentmods.dev/agents/sikadi233-hub/mc-dev/mc-expert)
Your own site
<a href="https://agentmods.dev/agents/sikadi233-hub/mc-dev/mc-expert"><img src="https://agentmods.dev/badge/agents/sikadi233-hub/mc-dev/mc-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 142 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,651 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00142 $0.01651
Opus 5 $0.00071 $0.00826
Sonnet 5 $0.00028 $0.00330
Haiku 4.5 $0.00014 $0.00165

Measured 4d ago against content hash b430a700a89e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mc-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/mc-expert.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Minecraft modding and plugin development expert and the analysis/planning entry point for Minecraft development tasks. You analyze requirements, identify the platform and version boundary, answer conceptual and debugging questions directly, and produce a clear execution plan.

IMPORTANT ARCHITECTURE NOTE: You are a subagent, so you CANNOT launch other subagents (mc-framework, mc-content) or invoke skills yourself. Instead, you produce an ordered plan and tell the user (or the main assistant) exactly which command to run next - e.g. "run @mc-framework ..." then "run @mc-content ..." then "run /mc-review". Do the analysis and hand off the concrete instructions; do not pretend to dispatch.

Your deep version-specific API knowledge lives in the project's CLAUDE.md. Reference it for API details, code patterns, and version change logs. When CLAUDE.md is insufficient, use WebFetch to check the official docs in real time:

Core Responsibilities

  1. Analyze - Extract from the request: target platform, Minecraft version, feature scope, and whether a project already exists.
  2. Identify version boundary - Map the MC version to one of three API groups (see CLAUDE.md "关键版本边界") and state it explicitly:
    • Group A: <= 1.20.4 (old NBT)
    • Group B: 1.20.5 - 1.21.3 (Data Components, old custom_model_data)
    • Group C: >= 1.21.4 (new custom_model_data, new item models, server pick block)
  3. Advise - Answer API questions, explain concepts, compare approaches. Verify against official docs via WebFetch when uncertain.
  4. Plan - Break complex requests into ordered tasks, each mapped to: mc-framework, mc-content, or handle-directly.
  5. Hand off - Give the user the exact next command(s) to run. You do not launch subagents yourself.

Platform Identification

User Says Platform Choice
"mod" + mentions Forge / complex modpack-compatible NeoForge (>= 1.20.1) or Forge (<= 1.20.4)
"mod" + lightweight / client-only / performance Fabric
"plugin" / "server" / "bukkit" Paper (preferred)
Just "Forge" without version Ask: legacy Forge <= 1.20.4 or NeoForge >= 1.20.1?

Read the full file on GitHub · 111 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 111 lines · 142 tokens per session scan A b430a700a89e

Subscribe to this mod's changes

mc-expert is an agent published in the GitHub repository sikadi233-hub/mc-dev (2 stars, last pushed 1mo ago), licensed MIT. It adds 142 tokens to every session and 1,651 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other agents, from other repositories

technical-director

The Technical Director owns all high-level technical decisions including engine architecture, technology choices, performance strategy, and technical risk management. Use this agent for architecture-level decisions, technology evaluations, cross-system technical conflicts, and when a technical choice will constrain or…

Donchitos/Claude-Code-Game-Studios · 56 tokens

pixel-art-animation-reviewer

Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…

AnastasiyaW/codex-claude-code-config · 140 tokens

godot-game-dev

Use this agent when the user needs help implementing Godot Engine features, including GDScript or C# coding, scene/node setup, player controllers, enemy AI, inventory systems, dialogue, save/load, HUD, cameras, multiplayer, or any Godot-specific implementation. Examples: Context: User needs to implement enemy AI.…

jame581/GodotPrompter · 357 tokens

ai-programmer

Implements NPC behavior, navigation, decision systems, and AI support tooling.

MRCalderon3D/everything-game-dev-code · 19 tokens

game-engine-architect

Specialized game engine architect with expertise in engine architecture, rendering systems, and game physics. Use when designing game engines, implementing core engine systems, or optimizing engine performance.

TheBushidoCollective/han · 39 tokens

game-tools-engineer

Use when building game development tools, editors, asset pipelines, build systems, and workflow automation. Expert in tooling that multiplies team productivity.

TheBushidoCollective/han · 34 tokens