TEngine is a Unity framework for building games, providing modules for asynchronous work, hot updates, asset management, configuration tables, and user interfaces. It is for Unity developers and teams making commercial projects across desktop, mobile, web, and WeChat Mini Game targets, with catalogue skills supporting its AI-assisted development workflow.
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 Alex-Rachel/TEngine --skill grill-megit clone --depth 1 https://github.com/Alex-Rachel/TEngineWrote 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/alex-rachel/tengine/grill-me)<a href="https://agentmods.dev/skills/alex-rachel/tengine/grill-me"><img src="https://agentmods.dev/badge/skills/alex-rachel/tengine/grill-me/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/alex-rachel/tengine/grill-me"><img src="https://agentmods.dev/badge/skills/alex-rachel/tengine/grill-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.00607 |
| Opus 5 | $0.00030 | $0.00303 |
| Sonnet 5 | $0.00012 | $0.00121 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
grill-me 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 13d 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
深度追问
过程
- 收集想法 — 让用户陈述他们的想法、论点或方案
- 识别主张 — 提取所有明确的和隐含的主张
- 逐一追问 — 对每个主张进行以下检查：
- 这个主张的证据是什么？
- 有没有反例？
- 边界情况是什么？
- 这是否依赖于未经验证的假设？
- 有没有更简单的替代方案？
- 综合发现 — 总结所有漏洞和薄弱环节
- 建议改进 — 提供具体的修复建议
追问风格
- 苏格拉底式 — 通过提问而非断言来揭示漏洞
- 具体 — 要求具体的例子而非抽象的辩护
- 无情但尊重 — 攻击想法，而非人
- 建设性 — 每个漏洞都应该伴随一个修复建议
询问的问题
对于每个主张，询问：
- "你怎么知道这是真的？"
- "什么情况下这会失败？"
- "最反对这个的人会怎么说？"
- "你是否混淆了必要性和充分性？"
- "这是因果关系还是仅仅是相关性？"
- "你有没有只关注支持证据而忽略了矛盾证据？"
- "这个推理链条中最薄弱的环节是什么？"
- "有没有你正在忽略的替代解释？"
输出格式
## 发现
### 漏洞
1. [漏洞描述]
- 为什么这是个问题：[解释]
- 修复建议：[建议]
### 薄弱环节
1. [薄弱环节描述]
- 为什么薄弱：[解释]
- 加固建议：[建议]
### 未经验证的假设
1. [假设描述]
- 如果错误会怎样：[后果]
- 如何验证：[方法]
## 修改后的方案
[纳入修复后的改进版本]
何时使用
- 在提交方案之前进行压力测试
- 为辩论或演示做准备
- 当你对自己的想法感觉过于自信时
- 当你需要确保没有遗漏关键漏洞时
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.
- 13d ago First seen · 71 lines · 59 tokens per session scan A eddfe3fa9a25
grill-me is a skill published in the GitHub repository Alex-Rachel/TEngine (2,336 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 607 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
et-test-write
ET test authoring workflow for WOW. Use when writing or modifying ATestHandler tests, choosing test package placement, naming test classes, creating test-only model types, preparing deterministic coroutine-style assertions, handling ObjectWait, constructing test config data, and enforcing EntityRef safety in tests.
et-code
ET framework C# code authoring and review workflow. Use when creating or modifying Entity, Component, System, Helper, message handlers, package dependencies, assemblies, module analyzer boundaries, C# file placement, .meta handling, ECS layering, or component contract logic in WOW/ET packages.
et-luban
ET Luban export workflow. Use when exporting generated C# config/data code, refreshing aggregated luban.conf, validating CodeMode outputs, or troubleshooting ET.ExcelExporter, LubanGen.ps1, table definitions, beans, enums, Defines, and Luban export failures.
et-build
ET build, analyzer, proto export, server startup, and publish workflow. Use when compiling WOW with dotnet build ET.sln, exporting Proto to C#, starting ET.App, publishing, or validating analyzer/build results.
fantasy-net
This guide applies to development and code review for Fantasy / Fantasy.Net / Fantasy.Unity written in C#. Use it when a task involves Fantasy server code or Unity client code using Fantasy, ECS entities/components/systems, scenes and subscenes, FTask, network handlers/messages/protocols, Address or Roaming routing…
reflection-method-call
Call a C# method by reflection — including private methods. Requires a method schema obtained via 'reflection-method-find'. Supports static methods, instance methods (with optional target deserialization), and main-thread / off-thread execution.