Skip to content
TrustedSkillsbeta
Back to all skills

Cosmic Database

Listed
drshailesh88·vlatest·database

Access a vast, curated cosmic data repository from drshailesh88 for astronomical research and analysis.

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 drshailesh88/integrated_content_os --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

drshailesh88

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: cancer.sanger.ac.uk.

    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

    cancer.sanger.ac.ukundeclared

    What it found

    • skills/scientific/cosmic-database/scripts/download_cosmic.py:57contacts cancer.sanger.ac.uk
      base_url = "https://cancer.sanger.ac.uk/cosmic/file_download/"

  • 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 drshailesh88/integrated_content_os at 9e61937ad2.

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

Commit
9e61937ad2
Manifest
skills/scientific/cosmic-database/SKILL.md
Scanned
3 files, 750 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 drshailesh88-cosmic-database skill provides access to a database. It allows AI agents to query and retrieve information stored within this database, enabling them to answer questions or perform tasks that require accessing structured data. This skill is designed for integration with other content sources.

When to use it

  • Answering specific knowledge queries: When an agent needs to provide factual answers based on a defined dataset (e.g., "What are the top 10 products by sales?").
  • Populating reports or summaries: To automatically generate reports or summaries from data stored in the database.
  • Driving interactive applications: To power applications that require dynamic content retrieval and display based on user input.
  • Data-driven decision making: To support agents in making informed decisions by providing access to relevant data insights.

Key capabilities

  • Database querying
  • Information retrieval
  • Integration with other content sources

Example prompts

  • "Retrieve the customer order details for ID 12345."
  • "Show me a list of all products in the 'Electronics' category."
  • "What is the average price of items sold last month?"

Tips & gotchas

The database schema and available data are not specified, so understanding its structure is crucial for effective querying. Experimentation with different query formulations may be needed to get desired results.