Borrowing it
Nothing to install: this file belongs to Insight-Services-APAC/ingenious. 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/Insight-Services-APAC/ingenious/main/.claude/commands/infra/docker-setup.mdgit clone --depth 1 https://github.com/Insight-Services-APAC/ingeniousWrote 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/commands/insight-services-apac/ingenious/docker-setup)<a href="https://agentmods.dev/commands/insight-services-apac/ingenious/docker-setup"><img src="https://agentmods.dev/badge/commands/insight-services-apac/ingenious/docker-setup/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/commands/insight-services-apac/ingenious/docker-setup"><img src="https://agentmods.dev/badge/commands/insight-services-apac/ingenious/docker-setup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00311 |
| Opus 5.5 | $0.00000 | $0.00124 |
| Sonnet 5.5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
docker-setup 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 1mo 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
Create or improve Dockerfile and .dockerignore for this project, then build and test locally to ensure it works properly.
If Dockerfile and .dockerignore don't exist:
- Analyze the project structure and dependencies to determine the application type (Flask, FastAPI, etc.)
- Create an optimized Dockerfile using appropriate base image and multi-stage builds if beneficial
- For Flask apps: use gunicorn as the WSGI server
- For FastAPI apps: use uvicorn as the ASGI server
- Create a comprehensive .dockerignore file to exclude unnecessary files
- Ensure proper health checks and security best practices
If Dockerfile and .dockerignore already exist:
- Review and optimize existing files if needed
- Proceed to testing phase
Testing phase (always run these steps):
- Run
colima startto ensure Docker daemon is running on macOS - Build the Docker image without BuildKit:
DOCKER_BUILDKIT=0 docker build -t app-test . - Run the container with appropriate port mapping:
docker run -p 8000:8000 app-test(adjust port as needed) - Test that the application starts successfully and serves requests
- Verify all endpoints are accessible and working as expected
- Stop and clean up test containers
- If issues are found, debug iteratively by updating Dockerfile/dockerignore and rebuilding until everything works
Focus on creating a production-ready, secure, and efficient containerized application.
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.
- 1mo ago First seen · 25 lines · 0 tokens per session scan A a2d806c05472
docker-setup is a command published in the GitHub repository Insight-Services-APAC/ingenious (25 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 311 tokens. 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 2026-09-04.
Other commands, from other repositories
create-docker-mcp-tunnel
Stand up an Anthropic MCP tunnel locally with Docker Compose so Claude can call a private MCP server (manual-credentials quickstart).
create-readme
You're a senior expert software engineer with extensive experience in open source projects. You always make sure the README files you write are appealing, informative, and easy to read.
review-and-refactor
You're a senior expert software engineer with extensive experience in maintaining projects over long time and ensuring clean code and best practices.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.