project-containerize

对项目进行完整的容器化适配。自动检测分析项目代码和文档，配置和优化代码容器化打包方案，生成专用Dockerfile，生成专用compose.yaml用于快捷部署，输出说明文档，最终生成适配项目的容器化部署方案。触发词：容器化、Docker、docker run、docker-compose、Dockerfile、...

This skill appears to implement a reasonable containerization workflow, but review these points before installing or running it: - Docker requirement: The scripts and SKILL.md run docker and docker compose commands but the skill metadata does not declare Docker/Docker Compose as required binaries. Ensure Docker and Docker Compose are installed and be aware the skill will try to execute them. - Sensitive files handling: prepare_configs.py and related scripts search for and copy configuration files (including .env, application*.yml, logback.xml, etc.) into deploy/config/. That will duplicate any secrets stored in those files into the deploy/ directory. Review and/or remove sensitive files before running, and do not commit deploy/ to version control. - Review generated artifacts: The skill will generate Dockerfiles, compose files, and deployment scripts that may default to running containers as root and enabling restart policies. Inspect and adjust the generated files (USER, ports, mounts, healthchecks, restart policy) to match your security posture before building or deploying images. - Execute locally and audit outputs: Run the scripts in a controlled environment (local workstation or isolated CI workspace), and inspect deploy/ and artifacts/ outputs. Avoid running docker-compose up or docker build until you have verified the generated files. What would change this assessment: if the publisher metadata were updated to declare required binaries (docker/docker-compose) and the scripts were changed to avoid copying raw .env secrets (e.g., only copy sanitized templates or reference originals without duplication), the incoherences noted above would be resolved and confidence could increase.

Type: OpenClaw Skill Name: project-containerize Version: 1.0.0 The skill bundle is a comprehensive utility designed to automate the containerization of software projects across multiple languages (Python, Node.js, Java, Go, etc.). It includes scripts for project analysis (analyze_project.py), Dockerfile generation (generate_build_dockerfile.py, generate_deploy_dockerfile.py), and deployment orchestration (generate_deployment.py). While the skill requires significant permissions to read project files and execute Docker commands, its behavior is strictly aligned with its stated purpose. There is no evidence of data exfiltration, malicious prompt injection, or unauthorized persistence mechanisms; all operations are performed locally within the project's directory structure.