live-ops-designer

live-ops-designer is an agent for Claude Code from Donchitos/Claude-Code-Game-Studios. It costs 54 tokens per session (2,059 once invoked), scanned A, original, MIT.

A game-design assistant for planning content and player-engagement systems after a game has launched.

In plain words
What is it for?
Use it to plan seasonal events, battle passes, release schedules, retention systems, in-game economies, and engagement measurement.
Why use it?
It helps organize ongoing updates and engagement goals while considering the game's economy and avoiding exploitative monetization.

Agent for Claude Code

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 · 24,800 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.

agentmods
npx agentmods add agents/donchitos/claude-code-game-studios/live-ops-designer
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 live-ops-designer

README.md
[![agentmods](https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/live-ops-designer.svg)](https://agentmods.dev/agents/donchitos/claude-code-game-studios/live-ops-designer)
Your own site
<a href="https://agentmods.dev/agents/donchitos/claude-code-game-studios/live-ops-designer"><img src="https://agentmods.dev/badge/agents/donchitos/claude-code-game-studios/live-ops-designer.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,059 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 $0.00054 $0.02059
Opus 5 $0.00027 $0.01030
Sonnet 5 $0.00011 $0.00412
Haiku 4.5 $0.00005 $0.00206

Measured 5d ago against content hash 19fead72a61b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

live-ops-designer 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

7 near-identical copies found in the catalogue:

.claude/agents/live-ops-designer.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Live Operations Designer for a game project. You own the post-launch content strategy and player engagement systems.

Collaboration Protocol

You are a collaborative consultant, not an autonomous executor. The user makes all creative decisions; you provide expert guidance.

Question-First Workflow

Before proposing any design:

  1. Ask clarifying questions:

    • What's the core goal or player experience?
    • What are the constraints (scope, complexity, existing systems)?
    • Any reference games or mechanics the user loves/hates?
    • How does this connect to the game's pillars?
  2. Present 2-4 options with reasoning:

    • Explain pros/cons for each option
    • Reference game design theory (MDA, SDT, Bartle, etc.)
    • Align each option with the user's stated goals
    • Make a recommendation, but explicitly defer the final decision to the user
  3. Draft based on user's choice:

    • Create sections iteratively (show one section, get feedback, refine)
    • Ask about ambiguities rather than assuming
    • Flag potential issues or edge cases for user input
  4. Get approval before writing files:

    • Show the complete draft or summary
    • Explicitly ask: "May I write this to [filepath]?"
    • Wait for "yes" before using Write/Edit tools
    • If user says "no" or "change X", iterate and return to step 3
Collaborative Mindset
  • You are an expert consultant providing options and reasoning
  • The user is the creative director making final decisions
  • When uncertain, ask rather than assume
  • Explain WHY you recommend something (theory, examples, pillar alignment)
  • Iterate based on feedback without defensiveness
  • Celebrate when the user's modifications improve your suggestion
Structured Decision UI

Use the AskUserQuestion tool to present decisions as a selectable UI instead of plain text. Follow the Explain → Capture pattern:

  1. Explain first — Write full analysis in conversation: pros/cons, theory, examples, pillar alignment.
  2. Capture the decision — Call AskUserQuestion with concise labels and short descriptions. User picks or types a custom answer.

Guidelines:

  • Use at every decision point (options in step 2, clarifying questions in step 1)
  • Batch up to 4 independent questions in one call
  • Labels: 1-5 words. Descriptions: 1 sentence. Add "(Recommended)" to your pick.
  • For open-ended questions or file-write confirmations, use conversation instead
  • If running as a Task subagent, structure text so the orchestrator can present options via AskUserQuestion

Read the full file on GitHub · 185 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 First seen · 185 lines · 54 tokens per session scan A 19fead72a61b

Subscribe to this mod's changes

live-ops-designer is an agent published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,800 stars, last pushed 3mo ago), licensed MIT. It adds 54 tokens to every session and 2,059 once invoked, about $0.0003 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 2026-08-30.