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 skills add pixel-cellar/Claude-Code-Game-Studios --skill perf-profilegit 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/skills/pixel-cellar/claude-code-game-studios/perf-profile)<a href="https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/perf-profile"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/perf-profile/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/pixel-cellar/claude-code-game-studios/perf-profile"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/perf-profile.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 | $0.00036 | $0.01066 |
| Opus 5.5 | $0.00014 | $0.00426 |
| Sonnet 5.5 | $0.00007 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
perf-profile 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
当此技能被调用时：
-
确定范围根据参数：
- 如果是系统名称：专注于该特定系统的分析
- 如果是
full：对所有系统进行全面分析
-
读取性能预算 — 检查设计文档或 CLAUDE.md 中是否有现有性能目标：
- 目标 FPS（例如 60fps = 16.67ms 帧预算）
- 内存预算（总量和按系统）
- 加载时间目标
- Draw Call 预算
- 网络带宽限制（如果是多人游戏）
-
分析代码库中的常见性能问题：
CPU 分析目标：
_process()/Update()/Tick()函数 — 列出所有并估算开销- 大集合上的嵌套循环
- 热路径中的字符串操作
- 每帧代码中的分配模式
- 未优化的游戏实体搜索/排序
- 每帧执行的昂贵物理查询（射线检测、重叠检测）
内存分析目标：
- 大型数据结构及其增长模式
- 纹理/资源内存占用估算
- 对象池 vs 实例化/销毁模式
- 泄漏的引用（应该释放但未释放的对象）
- 缓存大小和淘汰策略
渲染目标（如适用）：
- Draw Call 估算
- 重叠透明物体导致的过度绘制
- 着色器 (Shader) 复杂度
- 未优化的粒子系统
- 缺失 LOD (Level of Detail) 或遮挡剔除 (Occlusion Culling)
I/O 目标：
- 存档/读档性能
- 资源加载模式（同步 vs 异步）
- 网络消息频率和大小
-
生成性能分析报告：
## 性能分析：[系统或全面] 生成日期：[日期] ### 性能预算 | 指标 | 预算 | 估算当前值 | 状态 | |------|------|-----------|------| | 帧时间 | [16.67ms] | [估算值] | [正常/警告/超标] | | 内存 | [目标] | [估算值] | [正常/警告/超标] | | 加载时间 | [目标] | [估算值] | [正常/警告/超标] | | Draw Call | [目标] | [估算值] | [正常/警告/超标] | ### 发现的热点 | # | 位置 | 问题 | 预估影响 | 修复工作量 | |---|------|------|---------|-----------| | 1 | [文件:行号] | [描述] | [高/中/低] | [小/中/大] | | 2 | [文件:行号] | [描述] | [高/中/低] | [小/中/大] | ### 优化建议（按优先级排序） 1. **[标题]** — [优化描述] - 位置：[文件:行号] - 预期收益：[估算值] - 风险：[低/中/高] - 方案：[实现方式] ### 快速见效（每个不到 1 小时） - [简单优化 1] - [简单优化 2] ### 需要进一步调查 - [需要实际运行时分析来确定影响的领域] -
输出报告并附带摘要：前 3 个热点、相对于预算的估算余量，以及建议的下一步行动。
规则
- 不要先测量就优化 — 对性能的直觉是不可靠的
- 建议必须包含预估影响 — "让它更快"不具有可操作性
- 在目标硬件上进行分析，而不仅仅是开发机器
- 区分 CPU 瓶颈、GPU 瓶颈和 I/O 瓶颈
- 考虑最坏情况（最大实体数、最低配置硬件、最差网络条件）
- 静态分析（本技能）识别候选；运行时分析确认
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 · 95 lines · 36 tokens per session scan A af3946edbf7d
perf-profile is a skill published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (361 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 1,066 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 2026-09-03.
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