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 onboardgit 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/onboard)<a href="https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/onboard"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/onboard/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/onboard"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/onboard.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 | $0.00044 | $0.00566 |
| Opus 5.5 | $0.00018 | $0.00226 |
| Sonnet 5.5 | $0.00009 | $0.00113 |
| Haiku 4.5 | $0.00004 | $0.00057 |
Grade A, and why
onboard 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：
-
读取 CLAUDE.md 获取项目概述和标准。
-
读取相关代理定义（如果指定了特定角色），来自
.claude/agents/。 -
扫描代码库的相关领域：
- 程序员：扫描
src/的架构、模式、关键文件 - 设计师：扫描
design/的现有设计文档 - 叙事：扫描
design/narrative/的世界观构建和故事文档 - QA：扫描
tests/的现有测试覆盖率 - 制作人：扫描
production/的当前 Sprint 和里程碑
- 程序员：扫描
-
读取近期变更（如果可用，通过 git log）以了解当前发展势头。
-
生成入职文档：
# 入职指南：[角色/领域]
## 项目概述
[2-3 句话概述这个游戏是什么以及当前状态]
## 你的角色
[这个角色在本项目中的职责、关键责任、向谁汇报]
## 项目架构
[与该角色相关的架构概述]
### 关键目录
| 目录 | 内容 | 你的交互方式 |
|------|------|------------|
### 关键文件
| 文件 | 用途 | 阅读优先级 |
|------|------|-----------|
## 当前标准和规范
[来自 CLAUDE.md 和代理定义中与该角色相关的规范摘要]
## 你所在领域的当前状态
[已完成的工作、正在进行的工作、接下来计划的]
## 当前 Sprint 上下文
[团队现在在做什么，以及对该角色的期望]
## 关键依赖
[该角色最常与其他哪些角色/系统交互]
## 常见陷阱
[该领域中新贡献者容易踩坑的地方]
## 首批任务
[建议的首批任务以快速上手并产出成果]
1. [先阅读这些文档]
2. [审查此代码/内容]
3. [从这个小任务开始]
## 应该问的问题
[新贡献者应提出的问题以全面了解情况]
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 · 71 lines · 44 tokens per session scan A 61bcfabe8f28
onboard is a skill published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (361 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 566 once invoked, about $0.0002 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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