Borrowing it
Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/game-development/multiplayer/SKILL.mdgit 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/multiplayer)<a href="https://agentmods.dev/skills/misonl/ling/multiplayer"><img src="https://agentmods.dev/badge/skills/misonl/ling/multiplayer/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.
<a href="https://agentmods.dev/skills/misonl/ling/multiplayer"><img src="https://agentmods.dev/badge/skills/misonl/ling/multiplayer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00015 | $0.00869 |
| Opus 5.5 | $0.00006 | $0.00348 |
| Sonnet 5.5 | $0.00003 | $0.00174 |
| Haiku 4.5 | $0.00002 | $0.00087 |
Grade A, and why
multiplayer 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 1mo 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
多人游戏开发
网络架构与同步原则。
1. 架构选择
决策树
什么类型的多人游戏？
|
+-- 竞技 / 实时
| +-- Dedicated Server（专用服务器，权威）
|
+-- 合作 / 休闲
| +-- Host-based（基于主机，一个玩家作为服务器）
|
+-- 回合制
| +-- Client-server（客户端-服务器，简单）
|
+-- 大型（MMO）
+-- 分布式服务器
比较
| 架构 | 延迟 | 成本 | 安全性 |
|---|---|---|---|
| Dedicated（专用） | 低 | 高 | 强 |
| P2P | 可变 | 低 | 弱 |
| Host-based（主机） | 中 | 低 | 中 |
2. 同步原则
状态 vs 输入
| 方法 | 同步什么 | 最适合 |
|---|---|---|
| State Sync（状态同步） | 游戏状态 | 简单、对象少 |
| Input Sync（输入同步） | 玩家输入 | 动作游戏 |
| Hybrid（混合） | 两者 | 大多数游戏 |
延迟补偿
| 技术 | 目的 |
|---|---|
| Prediction（预测） | 客户端预测服务器 |
| Interpolation（插值） | 平滑远程玩家 |
| Reconciliation（和解） | 修正错误预测 |
| Lag compensation（延迟补偿） | 回滚以进行命中检测 |
3. 网络优化
带宽减少
| 技术 | 节省 |
|---|---|
| Delta compression（增量压缩） | 仅发送变化 |
| Quantization（量化） | 降低精度 |
| Priority（优先级） | 重要数据优先 |
| Area of interest（兴趣区域） | 仅附近实体 |
更新率
| 类型 | 速率 |
|---|---|
| 位置 | 20-60 Hz |
| 生命值 | 变化时 |
| 库存 | 变化时 |
| 聊天 | 发送时 |
4. 安全原则
服务器权威
客户端: "我击中了敌人"
服务器: 验证 -> 抛射物真的击中了吗？
-> 玩家处于有效状态吗？
-> 时间上可能吗？
反作弊
| 作弊 | 预防 |
|---|---|
| Speed hack（速度挂） | 服务器验证移动 |
| Aimbot（自瞄） | 服务器验证视线 |
| Item dupe（复制物品） | 服务器拥有库存 |
| Wall hack（透视） | 不发送隐藏数据 |
5. 匹配
考量因素
| 因素 | 影响 |
|---|---|
| Skill（技能） | 公平比赛 |
| Latency（延迟） | 可玩的连接 |
| Wait time（等待时间） | 玩家耐心 |
| Party size（队伍大小） | 组队游玩 |
6. 反模式
| [FAIL] 禁止 | [OK] 推荐 |
|---|---|
| 信任客户端 | 服务器是权威 |
| 发送一切 | 仅发送必要的 |
| 忽略延迟 | 为 100-200ms 设计 |
| 同步精确位置 | 插值/预测 |
记住： 永远不要信任客户端。服务器是真理之源。
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.
- 1mo ago First seen · 133 lines · 15 tokens per session scan A 9273442fc1bb
multiplayer is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 869 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 2026-08-31.
Other skills, from other repositories
playtest-report
Structured playtest report template, or turn existing playtest notes into structured feedback.
godot-signals-groups
Build event-driven, decoupled Godot 4.7 gameplay with signals and node groups: declare and emit custom signals, connect with Callables (incl. bind/one-shot), and broadcast to many nodes via groups and callgroup. Use when wiring node communication in a Godot project, replacing tight references with signals…
motion
Reconstruct a skeleton from calibrated mesh projections and sequential VLM joint annotations, then fit joints and skin weights. Generate motion from joint-position trajectories, rhythm and contact constraints through IK; refine bone orientation against the action, then export, retarget and validate on the target mesh.
unity-addressables
Manage Addressables groups, entries, profiles and content builds (com.unity.addressables, reflection-based).
unity-manual-component
Manually add, configure, reorder, and copy components on GameObjects using Unity Editor UI. For one-off Inspector workflows that do not need REST automation.
threejs-exposure-color-grading
Build a measured exposure and grading path in Three.js. Use for a 64x36 encoded luminance meter, asynchronous readback, weighted log-average exposure, asymmetric adaptation, single tone-map ownership, and a generated 32-cube post-tone-map LUT.