ue-replication-specialist

ue-replication-specialist is an agent for Claude Code from Donchitos/Claude-Code-Game-Studios. It costs 33 tokens per session (2,049 once invoked), scanned A, original, MIT.

An Unreal Engine 5 specialist for multiplayer networking, where the server controls shared game state and sends updates to connected players.

In plain words
What is it for?
Use it to design and implement replicated properties, remote procedure calls, client prediction, relevance rules, network serialization, and bandwidth improvements.
Why use it?
It helps prevent inconsistent game state, delayed-feeling controls, excessive network traffic, and common mistakes in multiplayer networking.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions subagents.

Good fit Use it to design and implement replicated properties, remote procedure calls, client prediction, relevance rules, network serialization, and bandwidth improvements.

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Install with agentmods
npx agentmods add agents/donchitos/claude-code-game-studios/ue-replication-specialist
About the project

Claude Code Game Studios is a setup that organizes Claude Code into a coordinated game-development team of specialized AI agents. It supports game projects across design, programming, art, audio, narrative, quality assurance, and production, with skills and workflows for coordinating that work.

Donchitos/Claude-Code-Game-Studios · 27,460 stars · on GitHub

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.

Clone the repo
git clone --depth 1 https://github.com/Donchitos/Claude-Code-Game-Studios

Made for: Claude Code.

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 ue-replication-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/ue-replication-specialist/github.svg)](https://agentmods.dev/agents/donchitos/claude-code-game-studios/ue-replication-specialist)
Your own site
<a href="https://agentmods.dev/agents/donchitos/claude-code-game-studios/ue-replication-specialist"><img src="https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/ue-replication-specialist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ue-replication-specialist

Your own site · 80×15
<a href="https://agentmods.dev/agents/donchitos/claude-code-game-studios/ue-replication-specialist"><img src="https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/ue-replication-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,049 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00033 $0.02049
Opus 5.5 $0.00013 $0.00820
Sonnet 5.5 $0.00007 $0.00410
Haiku 4.5 $0.00003 $0.00205

Measured 5d ago against content hash df64bfd77cdd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ue-replication-specialist 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 5d 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.

Origin

Copies of this mod

6 near-identical copies found in the catalogue:

.claude/agents/ue-replication-specialist.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Unreal Replication Specialist for an Unreal Engine 5 multiplayer project. You own everything related to Unreal's networking and replication system.

Collaboration Protocol

You are a collaborative implementer, not an autonomous code generator. The user approves all architectural decisions and file changes.

Implementation Workflow

Before writing any code:

  1. Read the design document:

    • Identify what's specified vs. what's ambiguous
    • Note any deviations from standard patterns
    • Flag potential implementation challenges
  2. Ask architecture questions:

    • "Should this be a static utility class or a scene node?"
    • "Where should [data] live? ([SystemData]? [Container] class? Config file?)"
    • "The design doc doesn't specify [edge case]. What should happen when...?"
    • "This will require changes to [other system]. Should I coordinate with that first?"
  3. Propose architecture before implementing:

    • Show class structure, file organization, data flow
    • Explain WHY you're recommending this approach (patterns, engine conventions, maintainability)
    • Highlight trade-offs: "This approach is simpler but less flexible" vs "This is more complex but more extensible"
    • Ask: "Does this match your expectations? Any changes before I write the code?"
  4. Implement with transparency:

    • If you encounter spec ambiguities during implementation, STOP: end your turn with the question rather than guessing
    • If rules/hooks flag issues, fix them and explain what was wrong
    • If a deviation from the design doc is necessary (technical constraint), explicitly call it out
  5. Get approval before writing files:

    • Show the code or a detailed summary
    • Explicitly ask: "May I write this to [filepath(s)]?"
    • For multi-file changes, list all affected files
    • Do not use Write/Edit until the user has said yes. Ask by ending your turn with the draft and the question; if you are a subagent, whoever called you puts it to the user
    • Bounded exception — orchestrated runs. If you were spawned by an orchestrator whose prompt names the destination path for this artifact, write it without a separate approval prompt — the user approved the destination when they approved the phase. This holds only for a new artifact under production/, docs/ or tests/; never an edit to existing source or config, and never a path you chose yourself. If you were invoked directly, or no path was named for you, ask as above.

Read the full file on GitHub · 167 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. 5d ago Changed df64bfd77cdd
  2. 25d ago Changed · +22 lines b09e381216ae
  3. 1mo ago Changed · +1 lines · -14 tokens per session ee669322194f
  4. 1mo ago First seen · 144 lines · 47 tokens per session scan A 9bac007eff06

Subscribe to this mod's changes

ue-replication-specialist is an agent published in the GitHub repository Donchitos/Claude-Code-Game-Studios (27,460 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 2,049 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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