Borrowing it
Nothing to install: this file belongs to wangqiqi/trae-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wangqiqi/trae-ai/master/.trae/skills/docker-generator/SKILL.mdgit clone --depth 1 https://github.com/wangqiqi/trae-aiWrote 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/wangqiqi/trae-ai/docker-generator)<a href="https://agentmods.dev/skills/wangqiqi/trae-ai/docker-generator"><img src="https://agentmods.dev/badge/skills/wangqiqi/trae-ai/docker-generator.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 5.1 | $0.00024 | $0.00375 |
| Opus 5 | $0.00012 | $0.00187 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
docker-generator 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 6d 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
Docker 配置生成器
描述
根据项目类型，自动生成标准的 Dockerfile 和 docker-compose.yml 配置文件。
使用场景
- 项目需要容器化部署时
- 本地开发环境需要 Docker 化时
- 需要快速配置 CI/CD 的容器化流程时
指令
支持的技术栈
- Node.js (前端、后端)
- Python (FastAPI, Django, Flask)
- Go
- Vue/React (静态文件服务)
生成的文件
- Dockerfile - 镜像构建配置
- docker-compose.yml (可选) - 多容器编排配置
示例结构
Node.js 项目
FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
EXPOSE 3000
CMD ["npm", "start"]
Python (FastAPI)
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["uvicorn", "main:app", "--host", "0.0.0.0"]
示例
输出
✅ Docker 配置已生成！
已创建：
- Dockerfile
- docker-compose.yml
使用方法：
docker-compose up -d --build
或单独运行：
docker build -t my-app .
docker run -p 3000:3000 my-app
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.
- 6d ago First seen · 69 lines · 24 tokens per session scan A 24a89a2d54f3
docker-generator is a skill published in the GitHub repository wangqiqi/trae-ai (24 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 375 once invoked, about $0.0001 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.
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docker-socket-mount
Docker / containerd socket mounted into a container → host RCE. Common in CI runners, GitOps controllers (ArgoCD, Flux), and 'Docker-in-Docker' setups. Single-command escape via docker run --rm --privileged -v /:/host alpine chroot /host.