Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/chaterm/terminal-skills/dockerfile)<a href="https://agentmods.dev/skills/chaterm/terminal-skills/dockerfile"><img src="https://agentmods.dev/badge/skills/chaterm/terminal-skills/dockerfile.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 | $0.00009 | $0.01933 |
| Opus 5 | $0.00005 | $0.00966 |
| Sonnet 5 | $0.00002 | $0.00387 |
| Haiku 4.5 | $0.00001 | $0.00193 |
Grade C, and why
dockerfile scanned grade C with 2 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 8d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf /var/lib/apt/lists/* Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
RUN apt-get update && apt-get install -y curl How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dockerfile 编写
概述
Dockerfile 最佳实践、安全扫描等技能。
指令详解
FROM
# 基础镜像
FROM ubuntu:22.04
FROM node:18-alpine
FROM python:3.11-slim
# 多阶段构建
FROM node:18 AS builder
FROM nginx:alpine AS production
# 使用 ARG 动态指定
ARG BASE_IMAGE=node:18-alpine
FROM ${BASE_IMAGE}
WORKDIR
# 设置工作目录(推荐使用绝对路径)
WORKDIR /app
WORKDIR /home/node/app
# 多次使用会切换目录
WORKDIR /app
WORKDIR src
# 当前目录: /app/src
COPY 与 ADD
# COPY(推荐)
COPY package.json ./
COPY src/ ./src/
COPY --chown=node:node . .
# 多文件复制
COPY package.json package-lock.json ./
# ADD(支持 URL 和解压)
ADD https://example.com/file.tar.gz /app/
ADD archive.tar.gz /app/ # 自动解压
# 推荐:优先使用 COPY,除非需要 ADD 的特殊功能
RUN
# Shell 形式
RUN apt-get update && apt-get install -y curl
# Exec 形式
RUN ["apt-get", "update"]
# 最佳实践:合并命令减少层数
RUN apt-get update && \
apt-get install -y --no-install-recommends \
curl \
wget \
git && \
rm -rf /var/lib/apt/lists/*
CMD 与 ENTRYPOINT
# CMD - 默认命令(可被覆盖)
CMD ["node", "app.js"]
CMD ["npm", "start"]
# ENTRYPOINT - 入口点(不易被覆盖)
ENTRYPOINT ["docker-entrypoint.sh"]
CMD ["postgres"]
# 组合使用
ENTRYPOINT ["python"]
CMD ["app.py"]
# 运行: python app.py
# docker run myimage other.py -> python other.py
ENV 与 ARG
# ENV - 运行时环境变量
ENV NODE_ENV=production
ENV PORT=3000 HOST=0.0.0.0
# ARG - 构建时参数
ARG VERSION=1.0
ARG BUILD_DATE
# ARG 转 ENV
ARG APP_VERSION
ENV APP_VERSION=${APP_VERSION}
# 使用构建参数
# docker build --build-arg VERSION=2.0 .
EXPOSE
# 声明端口(文档作用)
EXPOSE 80
EXPOSE 443
EXPOSE 3000/tcp
EXPOSE 5000/udp
VOLUME
# 声明挂载点
VOLUME /data
VOLUME ["/data", "/logs"]
USER
# 切换用户
RUN addgroup -S appgroup && adduser -S appuser -G appgroup
USER appuser
# 或使用 UID
USER 1000:1000
HEALTHCHECK
# 健康检查
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD curl -f http://localhost/ || exit 1
# 禁用健康检查
HEALTHCHECK NONE
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.
- 8d ago First seen · 374 lines · 9 tokens per session scan C b72d865c03af
dockerfile is a skill published in the GitHub repository chaterm/terminal-skills (58 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 1,933 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
docker
Use when authoring or auditing a Dockerfile, shrinking a bloated image, hardening a container that runs as root, picking a base image, or wiring a Compose dev loop with hot reload. NOT CI builds or deploy-to-host (that is deployment), NOT k8s autoscaling (that is scaling), NOT app-level injection or secrets-in-code…
ilo
Run builds, tests, and other tooling inside a reproducible, containerized dev environment via the ilo CLI instead of on the host. Use this whenever a project relies on ilo, devcontainers, or container-based build environments — it has a .ilo.rc / .ilo/ilo.rc, dev/ argument files, a Containerfile/Dockerfile, a…
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Operational skill for Claude to automate Docker via CLI, Dockerfiles, Compose, BuildKit, multi-stage builds, and container networking hygiene.
docker-essentials
Create and optimize Dockerfiles, docker-compose configurations, and container workflows. Use when containerizing applications, setting up development environments, or optimizing Docker builds.
docker-management
Docker container lifecycle management, Dockerfile authoring, and debugging.
harbor
CLI toolkit for managing containerized LLM services. Use when the user wants to start, stop, configure, or manage AI/LLM services like Ollama, Open WebUI, llama.cpp, vLLM, LiteLLM, ComfyUI, and 250+ others. Triggers on requests to "run a model", "start ollama", "set up an LLM", "configure harbor", "manage services"…