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Cosmos Dbt Fusion

Listed
astronomer·vlatest·data·Apache-2.0

Cosmos Dbt Fusion seamlessly integrates astronomical datasets from various sources into a unified Dbt model for efficient analysis and discovery.

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 astronomer/agents --skill cosmos-dbt-fusion -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

astronomer

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 2 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: public.cdn.getdbt.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

    public.cdn.getdbt.comundeclared

    What it found

    • skills/cosmos-dbt-fusion/SKILL.md:54contacts public.cdn.getdbt.com
      RUN curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

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

    What it found

    • skills/cosmos-dbt-fusion/SKILL.md:54remote script piped into a shell
      RUN curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update

  • 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.

  • Pinned to a commit: passed

    Scanned astronomer/agents at cbe1141f54.

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

Commit
cbe1141f54
Manifest
skills/cosmos-dbt-fusion/SKILL.md
Scanned
2 files, 359 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 cosmos-dbt-fusion skill enables AI agents to integrate and execute dbt (data build tool) workflows within a Cosmos environment. It allows users to define, schedule, and manage data transformation pipelines using dbt models, while leveraging the scalability and orchestration capabilities of Cosmos.

When to use it

  • Automating complex ETL processes that require dbt for data modeling.
  • Orchestrating multi-project or cross-team data workflows in a unified environment.
  • Building scalable data pipelines with version control and dependency management.
  • Integrating dbt with cloud-native infrastructure for real-time analytics.

Key capabilities

  • Execution of dbt models within Cosmos workflows.
  • Integration with existing dbt projects and configurations.
  • Support for scheduling and monitoring dbt jobs in a distributed environment.
  • Compatibility with various data warehouses and storage systems supported by dbt.

Example prompts

  • "Run the latest dbt models in my project using Cosmos."
  • "Schedule a dbt job to execute every 24 hours on Monday through Friday."
  • "Monitor the status of all active dbt jobs running in the Cosmos environment."

Tips & gotchas

  • Ensure that your dbt project is properly configured and compatible with Cosmos before deployment.
  • Be mindful of resource allocation, as large-scale dbt workflows can be computationally intensive.