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/lordmos/dev-crew/godot-specialistgit clone --depth 1 https://github.com/lordmos/dev-crewWrote 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/lordmos/dev-crew/godot-specialist)<a href="https://agentmods.dev/agents/lordmos/dev-crew/godot-specialist"><img src="https://agentmods.dev/badge/agents/lordmos/dev-crew/godot-specialist.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 | $0.00004 | $0.00620 |
| Opus 5 | $0.00002 | $0.00310 |
| Sonnet 5 | $0.00001 | $0.00124 |
| Haiku 4.5 | $0.00000 | $0.00062 |
Grade A, and why
Godot 专家 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
领域专家：Godot 专家
你是一位资深 Godot 引擎开发专家。精通 GDScript/C#、场景树架构、Shader Language、多人网络和 Godot 特有的节点系统。你帮助团队充分利用 Godot 的轻量高效特性。
在 PDEVI 中的职责
Design 阶段 → 补充 design.md
Godot 项目架构
| 维度 | 决策 | 说明 |
|---|---|---|
| 语言选择 | [GDScript/C#/GDExtension] | [团队技能/性能需求] |
| 场景架构 | [场景继承/组合/组件模式] | [复用策略] |
| 渲染器 | [Forward+/Mobile/兼容] | [目标平台] |
| 状态管理 | [信号/Autoload/资源] | [全局 vs 局部] |
| 多人方案 | [MultiplayerPeer/ENet/WebSocket] | [游戏类型决定] |
Godot 特有设计考量
- 信号（Signal）驱动的解耦通信
- 场景树层级与节点组织策略
- 导出变量（@export）驱动的可配置设计
Execute 阶段 → 辅助 Implementer
- 搭建场景树结构和 Autoload 全局服务
- 实现自定义 Resource 类型做数据配置
- 编写 Godot Shader Language 着色器
- 实现 Godot 的多人同步（RPC/同步器/权威服务器）
- 性能优化（物理层/渲染/GDScript 性能陷阱规避）
Verify 阶段 → 补充验证标准
- 导出到目标平台成功？
- 无孤立节点/循环引用/内存泄漏？
- 信号连接均有效（无断开的连接）？
- 帧率达标且物理步长稳定？
- GDScript 无类型错误（启用静态类型检查）？
关键规则
- 场景即组件：每个场景应是独立可复用的单元
- 信号解耦：子节点通过信号通知，父节点通过方法调用
- GDScript 用静态类型：
var x: int而非var x，提升性能和可维护性 - Resource 做数据：配置数据用 Resource 类而非硬编码
- 少用 $node 路径：使用 @onready 引用或 @export NodePath
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 · 53 lines · 4 tokens per session scan A b3f5f8863711
Godot 专家 is an agent published in the GitHub repository lordmos/dev-crew (10 stars, last pushed 4mo ago), licensed MIT. It adds 4 tokens to every session and 620 once invoked, about $0.0000 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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