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Cosmic Database

Checked
jackspace·vlatest·database·MIT

Access and analyze vast cosmic datasets—astronomical observations, simulations, and theoretical models—for research insights.

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 jackspace/claudeskillz --skill cosmic-database -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

jackspace

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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/scientific-db-cosmic-database/SKILL.md
Scanned
2 files, 324 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 provides access to a database, allowing AI agents to store and retrieve information. It’s designed for persistent data management across multiple interactions with an agent. The database is accessible via structured queries, enabling efficient data retrieval based on specific criteria.

When to use it

  • Persistent Memory: Store user preferences or conversation history that needs to be recalled later in the interaction.
  • Knowledge Base: Build a small knowledge base of facts and figures for your agent to draw upon when answering questions.
  • Task Management: Track progress on tasks, such as items in a shopping list or steps in a workflow.
  • Game State: Manage game data like player scores, inventory, or level progression within an interactive experience.

Key capabilities

  • Database storage and retrieval
  • Structured queries for efficient data access
  • Persistent data across agent interactions

Example prompts

  • "Add 'milk' to my shopping list."
  • "What is on my shopping list?"
  • "Store the answer to this question: What is the capital of France? Key: Capital. Value: Paris."
  • “Retrieve the value associated with the key ‘Capital’.”

Tips & gotchas

The database has limited capacity; avoid storing excessively large datasets. Ensure prompts are clear and structured for accurate data storage and retrieval.