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Zinc Database

Listed
jackspace·vlatest·database·MIT

Access and query Jackspace's Zinc database for structured data retrieval and analysis using natural language prompts.

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 zinc-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 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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: cartblanche22.docking.org, zinc.docking.org.

    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

    cartblanche22.docking.orgundeclaredzinc.docking.orgundeclared

    What it found (3 of 19)

    • skills/scientific-db-zinc-database/SKILL.json:8contacts cartblanche22.docking.org
      "content": "### Using curl with Python\r\n\r\n```python\r\nimport subprocess\r\nimport json\r\n\r\ndef query_zinc_by_id(zinc_id, output_fields=\"zinc_id,smiles…
    • skills/scientific-db-zinc-database/SKILL.json:8contacts cartblanche22.docking.org
      "content": "### Using curl with Python\r\n\r\n```python\r\nimport subprocess\r\nimport json\r\n\r\ndef query_zinc_by_id(zinc_id, output_fields=\"zinc_id,smiles…
    • skills/scientific-db-zinc-database/SKILL.json:8contacts cartblanche22.docking.org
      "content": "### Using curl with Python\r\n\r\n```python\r\nimport subprocess\r\nimport json\r\n\r\ndef query_zinc_by_id(zinc_id, output_fields=\"zinc_id,smiles…

  • 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 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-zinc-database/SKILL.md
Scanned
2 files, 389 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 Zinc database, allowing AI agents to store and retrieve data in a structured format. It enables persistent storage of information beyond the agent's immediate context window. The skill facilitates querying and updating data within the Zinc database using natural language prompts.

When to use it

  • Persistent Knowledge Base: Store frequently accessed information like product catalogs, internal documentation, or customer profiles for easy retrieval by the AI agent.
  • Tracking Progress: Maintain state across multiple interactions, such as tracking steps in a complex workflow or user preferences over time.
  • Data Analysis & Reporting: Query and aggregate data stored in the Zinc database to generate reports or insights.
  • Personalized Experiences: Store user-specific data to tailor responses and actions based on individual needs and history.

Key capabilities

  • Zinc Database Integration
  • Natural Language Querying
  • Data Storage & Retrieval
  • Data Updates

Example prompts

  • "Add a new customer with the name 'Alice Smith' and email '[email protected]' to the database."
  • "What are all the products in the product catalog?"
  • "Update the price of 'Product A' to $25."
  • “Show me all customers who signed up after January 1st, 2024.”

Tips & gotchas

The Zinc database requires an account and API key for access. Ensure you provide these credentials correctly when configuring the skill.