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Zinc Database

Listed
ovachiever·vlatest·database

Accesses and analyzes data within the Zinc database to extract insights and support decision-making processes.

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 ovachiever/droid-tings --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

ovachiever

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, files.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.orgundeclaredfiles.docking.orgundeclared

    What it found (3 of 31)

    • skills/zinc-database/SKILL.md:61contacts cartblanche22.docking.org
      curl "https://cartblanche22.docking.org/[email protected]_fields=smiles,zinc_id"
    • skills/zinc-database/SKILL.md:66contacts cartblanche22.docking.org
      curl "https://cartblanche22.docking.org/substances.txt:zinc_id=ZINC000000000001,ZINC000000000002&output_fields=smiles,zinc_id,tranche"
    • skills/zinc-database/SKILL.md:79contacts cartblanche22.docking.org
      curl "https://cartblanche22.docking.org/[email protected]=4-Fadist=4"

  • 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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/zinc-database/SKILL.md
Scanned
2 files, 984 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 ovachiever-zinc-database skill provides access to and interaction with a ZincDB database. It allows AI agents to query, update, and manage data stored within this specific database instance. This enables the agent to retrieve information, track progress, or store new findings during its operations.

When to use it

  • Data Retrieval: When your agent needs to access existing information, such as product details, customer records, or historical event logs stored in ZincDB.
  • Progress Tracking: To record and monitor the steps taken by an AI agent during a complex task, storing intermediate results or status updates within the database.
  • Knowledge Base Updates: When the agent discovers new information that needs to be added to its knowledge base, allowing it to dynamically update the ZincDB content.
  • Personalized Interactions: To store user preferences and tailor responses based on previously recorded interactions with a specific individual.

Key capabilities

  • Querying data within the ZincDB database.
  • Updating existing records in the database.
  • Creating new entries within the database.
  • Managing data structures (e.g., tables, fields).

Example prompts

  • "Retrieve all product names from the 'products' table."
  • "Update the quantity of item ID 123 to 5 in the 'inventory' table."
  • "Add a new customer with name 'Alice Smith' and email '[email protected]' to the 'customers' table."

Tips & gotchas

The skill requires familiarity with ZincDB’s data structure and query language for effective use. Ensure your agent has appropriate permissions to access and modify the database content.