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Docker Helper

Checked
incomestreamsurfer·vlatest·cloud

Automates Docker container deployment & management for IncomeStreamsurfer users on various cloud platforms.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add incomestreamsurfer/claude-docker-helper --skill docker-helper -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

incomestreamsurfer

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned incomestreamsurfer/claude-docker-helper at 23eb0f5f84.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 474 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, incomestreamsurfer-docker-helper, assists with Docker commands and troubleshooting. It can generate Dockerfiles based on descriptions, debug existing Docker configurations, and provide explanations of common Docker concepts. The agent leverages its understanding to simplify complex containerization tasks.

When to use it

  • You need help writing a Dockerfile for an application but are unsure where to start.
  • Your Docker containers aren't behaving as expected, and you require assistance in identifying the root cause.
  • You want to understand specific Docker commands or configuration options better.
  • You’re encountering errors while building or running Docker images and need debugging support.

Key capabilities

  • Dockerfile generation from descriptions
  • Docker configuration debugging
  • Explanation of Docker concepts
  • Troubleshooting assistance for Docker issues

Example prompts

  • "Create a Dockerfile for a Python Flask application."
  • "My Docker container is failing to start; can you help me debug the docker-compose.yml file?"
  • "Explain how Docker volumes work and when I should use them."

Tips & gotchas

The skill's effectiveness depends on providing clear and detailed descriptions of your desired outcome or problem. It assumes a basic understanding of Docker terminology; more complex scenarios might require additional context.