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Database

Listed
sickn33·vlatest·database·MIT

Access and query a vast, specialized database of medical knowledge, research, and clinical data for 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 sickn33/agentic-awesome-skills --skill 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

sickn33

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/agentic-awesome-skills at c808e6e480.

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

Commit
c808e6e480
Manifest
skills/database/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 foundational database functionality for AI agents, enabling them to interact with structured data stores. It allows agents to perform essential operations like querying, inserting, and managing records within a database environment.

When to use it

  • Data Retrieval: Fetching specific records or aggregated reports from a persistent storage system.
  • State Management: Storing conversation history, user preferences, or session states for long-term memory.
  • Transaction Handling: Executing complex data updates or ensuring data integrity during multi-step workflows.
  • Analytics Processing: Running queries to analyze trends or generate insights from raw datasets.

Key capabilities

  • Database connection and initialization
  • Data insertion and record management
  • Query execution and result retrieval
  • Schema definition and table creation

Example prompts

  • "Create a new table named 'users' with columns for id, name, and email."
  • "Insert a new record into the inventory table with product ID 101 and stock count 50."
  • "Query the database to find all users who signed up in the last month."

Tips & gotchas

Ensure your AI agent has proper authentication credentials configured before attempting to connect to external databases. Always validate input data before executing write operations to prevent corruption or security vulnerabilities.