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String Database

Listed
jimmc414·vlatest·database

Quickly retrieves specific strings and patterns from a large, curated text database managed by jimmc414.

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 jimmc414/kosmos --skill string-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

jimmc414

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: string-db.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

    string-db.orgundeclared

    What it found

    • kosmos-claude-scientific-skills/scientific-skills/string-database/scripts/string_api.py:7contacts string-db.org
      API Base URL: https://string-db.org/api
    • kosmos-claude-scientific-skills/scientific-skills/string-database/scripts/string_api.py:8contacts string-db.org
      Documentation: https://string-db.org/help/api/
    • kosmos-claude-scientific-skills/scientific-skills/string-database/scripts/string_api.py:21contacts string-db.org
      STRING_BASE_URL = "https://string-db.org/api"

  • 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 jimmc414/kosmos at 6cfe7f690d.

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

Commit
6cfe7f690d
Manifest
kosmos-claude-scientific-skills/scientific-skills/string-database/SKILL.md
Scanned
3 files, 1,307 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 a simple, in-memory database specifically designed to store and retrieve strings. It allows you to quickly add, find, and manage lists of text data without the complexity of a full relational database. This is ideal for tasks requiring temporary storage or quick lookups of string values.

When to use it

  • Managing product names: Store a list of product names and quickly retrieve them based on partial matches.
  • Tracking user input options: Keep track of valid user selections in a conversation flow.
  • Storing temporary data for calculations: Hold intermediate results that are strings during complex operations.
  • Maintaining lists of keywords: Efficiently store and search through a list of relevant keywords.

Key capabilities

  • Add string entries to the database.
  • Retrieve strings based on partial matches.
  • Simple, in-memory storage (data is not persistent).

Example prompts

  • "Add 'apple' to the string database."
  • "What strings contain 'app'?"
  • "List all strings in the database."

Tips & gotchas

  • This database is volatile; data will be lost when the AI agent restarts. Consider this if persistent storage is needed.