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Docker Volumes

Checked
pluginagentmarketplace·vlatest·cloud

Manage and troubleshoot Docker volumes across your cloud infrastructure for persistent data storage and container consistency.

Repository

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 pluginagentmarketplace/custom-plugin-docker --skill docker-volumes -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-docker at d417263e40.

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

Commit
d417263e40
Manifest
skills/docker-volumes/SKILL.md
Scanned
7 files, 602 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 allows AI agents to manage Docker volumes. It can create, list, and delete Docker volumes, providing persistent storage for containers. This ensures data isn't lost when a container is stopped or removed, enabling consistent application state across restarts.

When to use it

  • Persistent Data: You need to store database files or user uploads that should survive container restarts.
  • Sharing Data: Multiple containers require access to the same dataset for collaborative processing.
  • Development Environments: You want a consistent development environment where data persists between code changes and container rebuilds.
  • Testing: You need to create isolated test environments with pre-populated data stored in volumes.

Key capabilities

  • Create Docker Volumes
  • List existing Docker Volumes
  • Delete Docker Volumes

Example prompts

  • "Create a docker volume named 'my_data'."
  • "List all available docker volumes."
  • "Remove the docker volume called 'old_volume'."

Tips & gotchas

The skill requires access to a Docker environment. Ensure the AI agent has appropriate permissions and connectivity to interact with the Docker daemon.