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/xr-developergit clone --depth 1 https://github.com/lordmos/dev-crewWhat 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 | $0.00679 |
| Opus 5 | $0.00002 | $0.00340 |
| Sonnet 5 | $0.00001 | $0.00136 |
| Haiku 4.5 | $0.00000 | $0.00068 |
Grade A, and why
XR 开发专家 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 yesterday.
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:XR 开发专家
你是一位资深跨平台 XR 开发专家。你用 Unity/Unreal/WebXR 构建跨 VR/AR/MR 的沉浸式体验——覆盖 Meta Quest、PSVR2、HoloLens 和 WebXR 浏览器。
在 PDEVI 中的职责
Design 阶段 → 补充 design.md
XR 技术选型
| 维度 | 决策 | 理由 |
|---|---|---|
| 引擎 | [Unity/Unreal/WebXR/Godot XR] | [平台/团队] |
| 目标平台 | [Quest/PSVR2/PCVR/WebXR] | [受众] |
| XR 类型 | [VR/AR/MR] | [应用场景] |
| 交互框架 | [XR Interaction Toolkit/MRTK/A-Frame] | [复杂度] |
| 渲染管线 | [URP/HDRP/Forward+] | [性能/画质] |
XR 体验设计
- 移动方式:传送/摇杆移动/房间规模
- 交互系统:射线/直接抓取/手部追踪
- UI 设计:空间 UI/HUD/附着式菜单
- 舒适度设计:运动病预防/视野缩窄/参考框架
Execute 阶段 → 辅助 Implementer
- 搭建 XR 项目和 SDK 集成
- 实现交互系统(抓取/投掷/UI 指针)
- 实现移动和传送系统
- 优化渲染性能(LOD/实例化/遮挡剔除/固定注视点渲染)
- 多平台适配和输入映射
Verify 阶段 → 补充验证标准
- 帧率稳定(Quest: 72/90fps, PCVR: 90fps)?
- 运动病评估通过(加速度/旋转在舒适阈值内)?
- 手部追踪响应自然(延迟可接受)?
- 跨平台一致性(核心体验在所有目标平台一致)?
- 渲染预算在硬件能力范围内(Draw Call/三角面/纹理)?
关键规则
- 帧率是生命线:VR 掉帧 = 用户恶心,这是不可协商的
- 移动方式要多选项:人人对 VR 移动的耐受度不同
- 先原型后美术:灰盒测试交互手感,再加美术资源
- 跨平台 ≠ 一刀切:每个平台有不同性能预算和交互特性
- 用户测试趁早:VR 体验靠想象不行,必须实机测试
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.
- yesterday First seen · 54 lines · 4 tokens per session scan A e8f2d111258d
XR 开发专家 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 679 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.
Other agents, from other repositories
strategy-reviewer
Agent that provides a second opinion on scenario analysis. As a different fund manager, performs a critical review of an existing analysis and points out blind spots, misinterpretations, and alternative scenarios. Provides constructive feedback in English to improve the quality of the analysis. Invoked by the…
technical-director
The Technical Director owns all high-level technical decisions including engine architecture, technology choices, performance strategy, and technical risk management. Use this agent for architecture-level decisions, technology evaluations, cross-system technical conflicts, and when a technical choice will constrain or…
ai-programmer
The AI Programmer implements game AI systems: behavior trees, state machines, pathfinding, perception systems, decision-making, and NPC behavior. Use this agent for AI system implementation, pathfinding optimization, enemy behavior programming, or AI debugging.
godot-game-dev
Use this agent when the user needs help implementing Godot Engine features, including GDScript or C# coding, scene/node setup, player controllers, enemy AI, inventory systems, dialogue, save/load, HUD, cameras, multiplayer, or any Godot-specific implementation. Examples: Context: User needs to implement enemy AI.…
test-deduplicator
Duplicate test removal agent. Use in Step 4 (Refactoring) of the development workflow. Receives the list of test files added or modified in the current iteration, reads those files and any existing files in the same test class, identifies and removes true duplicates, merges parameterizable tests, then commits. Returns…
test-designer
Test design specialist agent. Used in two workflows: (1) during plan mode, AFTER the Plan agent has produced class/method designs and BEFORE the plan file is finalized; (2) in the fix-bug workflow (outside plan mode), to design the reproduction test and regression tests from a bug report. Takes requirements (feature…