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 skills/misonl/ling/mobile-gamesnpx skills add MisonL/Ling --skill mobile-gamesgit clone --depth 1 https://github.com/MisonL/LingWrote 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/skills/misonl/ling/mobile-games)<a href="https://agentmods.dev/skills/misonl/ling/mobile-games"><img src="https://agentmods.dev/badge/skills/misonl/ling/mobile-games.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 | $0.00021 | $0.00698 |
| Opus 5 | $0.00010 | $0.00349 |
| Sonnet 5 | $0.00004 | $0.00140 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
mobile-games 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.
What it actually says
移动游戏开发
平台限制与优化原则。
1. 平台考量
关键限制
| 限制 | 策略 |
|---|---|
| 触摸输入（Touch input） | 大点击区域、手势 |
| 电池（Battery） | 限制 CPU/GPU 使用 |
| 热量（Thermal） | 发热时节流 |
| 屏幕尺寸（Screen size） | 响应式 UI |
| 中断（Interruptions） | 进入后台暂停 |
2. 触摸输入原则
触摸 vs 控制器
| 触摸 | 桌面/主机 |
|---|---|
| 不精确 | 精确 |
| 遮挡屏幕 | 无遮挡 |
| 按钮有限 | 许多按钮 |
| 可用手势 | 按钮/摇杆 |
最佳实践
- 最小触摸目标：44x44 点
- 触摸时提供视觉反馈
- 避免精确的时间要求
- 支持纵向与横向
3. 性能目标
热管理
| 动作 | 触发条件 |
|---|---|
| 降低质量 | 设备温热 |
| 限制 FPS | 设备发热 |
| 暂停特效 | 临界温度 |
电池优化
- 30 FPS 通常足够
- 暂停时休眠
- 最小化 GPS/网络
- 深色模式节省 OLED 电量
4. 应用商店要求
iOS（App Store）
| 要求 | 备注 |
|---|---|
| 隐私标签 | 必需 |
| 账户删除 | 若存在账户创建 |
| 截图 | 覆盖所有设备尺寸 |
Android（Google Play）
| 要求 | 备注 |
|---|---|
| 目标 API | 当年的 SDK |
| 64 位 | 必需 |
| App bundles | 推荐 |
5. 变现模型
| 模型 | 最适合 |
|---|---|
| Premium（付费） | 优质游戏、忠实受众 |
| Free + IAP（免费+内购） | 休闲、基于进度 |
| Ads（广告） | 超休闲、高量级 |
| Subscription（订阅） | 内容更新、多人游戏 |
6. 反模式
| [FAIL] 禁止 | [OK] 推荐 |
|---|---|
| 在移动端使用桌面控制 | 为触摸设计 |
| 忽略电池消耗 | 监控热量 |
| 强制横屏 | 支持玩家偏好 |
| 始终联网 | 缓存并同步 |
记住： 移动端是最受限的平台。尊重电池与注意力。
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 · 109 lines · 21 tokens per session scan A 694d8a152258
mobile-games is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 698 once invoked, about $0.0001 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.
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