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Storage Format

Checked
tursodatabase·vlatest·utilities·MIT

Helps with storage, formatting as part of agent workflows workflows.

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 tursodatabase/turso --skill storage-format -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

tursodatabase

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 tursodatabase/turso at 64b8ef5742.

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

Scanned
1 file, 126 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 storage-format skill enables AI agents to interact with and manage data stored in specific formats, such as JSON, CSV, or binary structures. It provides tools for parsing, transforming, and validating data according to predefined schemas, ensuring consistency and accuracy when handling structured information.

When to use it

  • When processing user input that requires strict formatting rules before storage or analysis.
  • When converting between different data formats (e.g., JSON to CSV) for compatibility with other systems.
  • When enforcing schema validation on incoming data to prevent errors in downstream processes.

Key capabilities

  • Parsing structured data from various formats.
  • Schema validation to ensure data integrity.
  • Data transformation between supported formats.

Example prompts

  • "Convert this JSON file into a CSV format."
  • "Validate the structure of this dataset against the provided schema."
  • "Parse and normalize the incoming binary data for storage."

Tips & gotchas

  • Ensure that the input data matches the expected schema to avoid parsing errors.
  • Some formats may require additional libraries or tools for full compatibility.