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String Database

Checked
jackspace·vlatest·database·MIT

Quickly retrieve, filter, and manipulate string data from a large, indexed database using natural language queries.

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 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

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 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 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-string-database/SKILL.md
Scanned
2 files, 530 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, jackspace-string-database, provides a simple key-value store within an AI agent. It allows you to persist and retrieve strings of text, enabling agents to remember information across interactions or tasks. The database is designed for lightweight data storage where complex querying isn't required.

When to use it

  • Remembering User Preferences: Store user choices (e.g., preferred language, font size) to personalize the agent’s behavior.
  • Tracking Conversation State: Maintain context within a multi-turn conversation by storing key pieces of information.
  • Caching API Responses: Temporarily store results from external APIs to avoid redundant calls and speed up responses.
  • Storing Simple Lists: Manage lists like shopping items or tasks that need to be recalled later.

Key capabilities

  • Key-value storage for strings
  • Simple retrieval of stored values by key
  • Persistence across agent interactions

Example prompts

  • "Store the phrase 'My favorite color' with the value 'blue'."
  • "What is the value associated with the key 'My favorite color'?"
  • "Delete the entry for the key 'My favorite color'."

Tips & gotchas

The string database is designed for simple data. Avoid storing large amounts of text, as this could impact performance and memory usage.