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Zinc Database

Listed
drshailesh88·vlatest·database

Access and query a comprehensive Zinc database of chemical compounds and reactions via structured 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 drshailesh88/integrated_content_os --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

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 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/scientific/zinc-database/SKILL.md:61contacts cartblanche22.docking.org
      curl "https://cartblanche22.docking.org/[email protected]_fields=smiles,zinc_id"
    • skills/scientific/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/scientific/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 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/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

This skill provides access to a Zinc database, enabling AI agents to store and retrieve structured data. It allows for querying the database using SQL, facilitating tasks like managing user profiles, tracking inventory, or organizing project information. The integration offers a persistent storage solution beyond short-term memory.

When to use it

  • User Profile Management: Store and update user preferences, settings, and activity history within an application.
  • Inventory Tracking: Maintain a real-time record of product stock levels for e-commerce or supply chain applications.
  • Project Data Organization: Manage tasks, deadlines, and resources associated with complex projects.
  • Knowledge Base Storage: Store frequently asked questions (FAQs) and their answers for easy retrieval by the AI agent.

Key capabilities

  • SQL Querying: Execute SQL queries to interact with data stored in the Zinc database.
  • Data Persistence: Provides a persistent storage solution, retaining information across sessions.
  • Structured Data Management: Facilitates organized storage and retrieval of structured data.

Example prompts

  • "Retrieve all user profiles from the database."
  • "Update the quantity of 'widget' in inventory to 50."
  • "What are the deadlines for project Alpha?"

Tips & gotchas

  • Familiarity with SQL is helpful to effectively utilize this skill.
  • Be mindful of data limits and potential costs associated with database usage.