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Artifacts Builder

Listed
composiohq·vlatest·devops

This tool streamlines artifact creation for CI/CD pipelines by automating configuration and ensuring consistency across environments – boosting efficiency & reliability.

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 composiohq/awesome-claude-skills --skill artifacts-builder -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

composiohq

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: ui.shadcn.com.

    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.

    Hosts contacted

    ui.shadcn.comundeclared

    What it found

    • artifacts-builder/scripts/init-artifact.sh:283contacts ui.shadcn.com
      "$schema": "https://ui.shadcn.com/schema.json",

  • 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 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 composiohq/awesome-claude-skills at be2a406907.

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

Commit
be2a406907
Manifest
artifacts-builder/SKILL.md
Scanned
4 files, 447 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 artifacts-builder skill enables AI agents to create and manage artifacts—such as files, data structures, or other outputs—as part of their workflows. It provides tools for generating, organizing, and exporting these artifacts in structured formats like JSON, CSV, or custom schemas.

When to use it

  • When you need an AI agent to generate reports or summaries from processed data.
  • While automating tasks that require the creation of structured outputs such as logs, manifests, or configuration files.
  • During development workflows where intermediate results must be saved and referenced later.

Key capabilities

  • Generate artifacts in multiple formats (e.g., JSON, CSV).
  • Organize artifacts into directories or named structures.
  • Export artifacts for external use or integration with other systems.

Example prompts

  • "Generate a JSON file containing the summary of this dataset."
  • "Create a directory structure to store all logs from today's session."
  • "Export the results of this analysis as a CSV file."

Tips & gotchas

Ensure that your AI agent has write permissions to the target directories where artifacts will be saved. Also, be mindful of naming conventions and file size limits when exporting large datasets.