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Turso

Listed
itechmeat·vlatest·other·MIT

Turso allows you to easily generate and manage complex, multi-turn conversations with AI models, streamlining chatbot development and improving user engagement.

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 itechmeat/llm-code --skill turso -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

itechmeat

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 2 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: get.tur.so.

    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

    get.tur.soundeclaredgithub.comsource host

    What it found

    • skills/turso/references/installation.md:12contacts get.tur.so
      curl -sSfL https://get.tur.so/install.sh | bash
    • skills/turso/references/installation.md:26contacts get.tur.so
      curl -sSfL https://get.tur.so/install.sh | bash

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/turso/references/installation.md:12remote script piped into a shell
      curl -sSfL https://get.tur.so/install.sh | bash
    • skills/turso/references/installation.md:26remote script piped into a shell
      curl -sSfL https://get.tur.so/install.sh | bash
    • skills/turso/references/quickstart.md:8remote script piped into a shell
      curl --proto '=https' --tlsv1.2 -LsSf https://github.com/tursodatabase/turso/releases/latest/download/turso_cli-installer.sh | sh

  • 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.

  • Pinned to a commit: passed

    Scanned itechmeat/llm-code at 7ae8a00524.

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

Commit
7ae8a00524
Manifest
skills/turso/SKILL.md
Scanned
7 files, 613 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 turso skill provides access to Turso, a database designed specifically for AI agents. It allows your agent to store and retrieve data persistently, enabling features like remembering past conversations or tracking progress on tasks. This skill facilitates building more complex and stateful AI applications by providing a reliable backend for data management.

When to use it

  • Persistent Memory: When your agent needs to remember information between sessions, such as user preferences or conversation history.
  • Task Tracking: To store the status of ongoing tasks and allow the agent to resume them later.
  • Knowledge Base: For storing structured data that the agent can query and use for reasoning or generating responses.
  • Agent State Management: To maintain and update an agent's internal state, such as its current goals or beliefs.

Key capabilities

  • Database interaction via SQL queries.
  • Persistent storage of agent data.
  • Designed specifically for AI agents.

Example prompts

  • "Store the user’s name in the database under the key 'username'."
  • "Retrieve all tasks that are marked as 'pending' from the database."
  • “Update the value associated with ‘last_interaction’ to now.”

Tips & gotchas

  • Requires a Turso account and connection string. Ensure you have these credentials available before using the skill.