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Cloversec Ctf Build Dockerizer

Checked
d1a0y1bb·vlatest·cloud·MIT

Automates Docker image creation for CloverSec CTF challenges, streamlining setup and ensuring consistent environments.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it cloversec-ctf-pack, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add d1a0y1bb/cloversec-ctf-pack --skill cloversec-ctf-pack -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

d1a0y1bb

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 d1a0y1bb/cloversec-ctf-build-dockerizer-skill at e92b75bc81.

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

Commit
e92b75bc81
Manifest
src/CloverSec-CTF-Build-Dockerizer/SKILL.md
Scanned
60 files, 4,476 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

The cloversec-ctf-build-dockerizer skill automates the creation of Dockerfiles for Capture The Flag (CTF) challenges. It analyzes a CTF challenge's description and automatically generates a Dockerfile that sets up the necessary environment to run the challenge locally. This significantly reduces the manual effort required to prepare for and participate in CTFs, allowing users to focus on solving the challenges themselves.

When to use it

  • Preparing for a CTF: Quickly create a Docker image based on a provided challenge description.
  • Reproducing a CTF environment: Set up an identical environment locally for practice or analysis.
  • Sharing CTF solutions: Package your solution within a reproducible Docker container.
  • Automating CTF setup: Integrate the skill into automated pipelines for consistent and repeatable environments.

Key capabilities

  • Dockerfile generation from challenge descriptions
  • Environment setup based on provided specifications
  • Reproducible CTF environments
  • Automation of CTF preparation tasks

Example prompts

  • "Create a Dockerfile for this CTF challenge: [paste challenge description]"
  • "Generate a Dockerfile to run the 'web_server' CTF."
  • "Build a Docker image with Python 3.9 and nc installed, based on this challenge description: [paste challenge description]."

Tips & gotchas

The quality of the generated Dockerfile depends heavily on the clarity and completeness of the provided challenge description. Ensure the description includes all necessary dependencies and environment variables for accurate Dockerfile generation.