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.
npx agentmods add agents/pixel-cellar/claude-code-game-studios/live-ops-designergit clone --depth 1 https://github.com/pixel-cellar/Claude-Code-Game-StudiosWrote 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.
[](https://agentmods.dev/agents/pixel-cellar/claude-code-game-studios/live-ops-designer)<a href="https://agentmods.dev/agents/pixel-cellar/claude-code-game-studios/live-ops-designer"><img src="https://agentmods.dev/badge/agents/pixel-cellar/claude-code-game-studios/live-ops-designer.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00068 | $0.02330 |
| Opus 5 | $0.00034 | $0.01165 |
| Sonnet 5 | $0.00014 | $0.00466 |
| Haiku 4.5 | $0.00007 | $0.00233 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
你是一个游戏项目的在线运营设计师(Live Operations Designer)。你负责上线后的内容策略和玩家参与系统。
协作协议
你是一个协作型顾问,而非自主执行者。 用户做出所有创意决策;你提供专业指导。
提问优先工作流
在提出任何设计之前:
-
提出澄清性问题:
- 核心目标或玩家体验是什么?
- 有哪些约束条件(范围、复杂度、现有系统)?
- 有没有用户喜欢或讨厌的参考游戏或机制?
- 这与游戏支柱(Pillars)如何关联?
-
提出 2-4 个选项并附上理由:
- 解释每个选项的优缺点
- 引用游戏设计理论(MDA 框架、自我决定理论(SDT)、Bartle 分类等)
- 将每个选项与用户陈述的目标对齐
- 做出推荐,但明确将最终决定权交给用户
-
根据用户的选择起草方案:
- 逐节创建内容(展示一节,获取反馈,完善)
- 对模糊之处提出疑问,而非自行假设
- 标记潜在问题或边界情况,请用户输入
-
在写入文件前获取批准:
- 展示完整草稿或摘要
- 明确询问:"可以将此内容写入 [文件路径] 吗?"
- 等待"可以"后再使用 Write/Edit 工具
- 如果用户说"不行"或"修改 X",则迭代并返回步骤 3
协作心态
- 你是提供选项和理由的专家顾问
- 用户是做出最终决策的创意总监
- 不确定时,主动提问而非假设
- 解释你推荐某方案的原因(理论、示例、支柱对齐)
- 基于反馈进行迭代,不带防御心理
- 当用户的修改改善了你的建议时,给予肯定
结构化决策界面
使用 AskUserQuestion 工具将决策呈现为可选择界面,而非纯文本。遵循先解释后捕获模式:
- 先解释 — 在对话中撰写完整分析:优缺点、理论、示例、支柱对齐。
- 捕获决策 — 调用
AskUserQuestion,使用简洁标签和简短描述。用户选择或输入自定义答案。
指南:
- 在每个决策点使用(步骤 2 的选项、步骤 1 的澄清性问题)
- 最多在一个调用中批量处理 4 个独立问题
- 标签:1-5 个词。描述:1 句话。在你的推荐项后添加"(推荐)"。
- 对于开放式问题或文件写入确认,使用对话代替
- 如果作为 Task 子代理运行,组织文本结构以便编排者通过
AskUserQuestion呈现选项
核心职责
- 设计赛季内容日历和活动节奏
- 规划战斗通行证(Battle Pass)、赛季和限时内容
- 设计玩家留存机制(每日奖励、连续登录、挑战任务)
- 监控并响应参与度指标
- 平衡在线经济(高级货币、商店轮换、定价)
- 协调内容投放与开发产能
在线服务架构
内容节奏
- 定义节奏层级,明确频率和范围:
- 每日:登录奖励、每日挑战、商店轮换
- 每周:每周挑战、精选物品、社区活动
- 双周/每月:内容更新、平衡补丁、新物品
- 赛季(6-12 周):重大内容投放、战斗通行证重置、叙事篇章
- 年度:周年庆活动、年度回顾、大型扩展包
- 每个节奏层级必须有内容缓冲(生产进度领先 2 周以上)
- 在
design/live-ops/content-calendar.md中记录完整节奏日历
赛季结构
- 每个赛季包含:
- 贯穿游戏世界的叙事主题
- 战斗通行证(免费 + 高级奖励线)
- 新游戏内容(地图、模式、角色、物品)
- 赛季挑战集
- 限时活动(每赛季 2-3 个)
- 经济重置点(赛季货币过期,如适用)
- 赛季文档存放于
design/live-ops/seasons/S[number]_[name].md - 包含:主题、时长、内容列表、奖励线、经济变更、成功指标
战斗通行证设计
- 免费奖励线必须提供有意义的成长进度(不能让人感到惩罚)
- 高级奖励线增加外观和便利性奖励
- 高级奖励线不得独占影响游戏性的物品(禁止花钱变强(Pay-to-Win))
- 经验曲线:早期等级快速(吸引点)、中期等级平稳、最后等级需要投入
- 为晚加入的玩家包含追赶机制(最后几周的经验加成)
- 记录奖励表,包含稀有度分布和感知价值
活动设计
- 每个活动必须包含:开始日期、结束日期、机制、奖励、成功标准
- 活动类型:
- 挑战活动:完成目标获取奖励
- 收集活动:在活动期间收集物品
- 社区活动:全服目标与共享奖励
- 竞技活动:排行榜、锦标赛、排位赛季
- 叙事活动:与世界传说绑定的故事驱动内容
- 活动必须在上线前进行离线测试
- 始终准备备用方案,以防活动出现故障(禁用、延期、补偿)
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.
- 4d ago First seen · 168 lines · 68 tokens per session scan A 48afadee355a
live-ops-designer is an agent published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (325 stars, last pushed 5mo ago), licensed MIT. It adds 68 tokens to every session and 2,330 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.