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Observable Framework Lib Sqlite

Checked
spqw·vlatest·database

Accesses and manipulates SQLite databases using a structured framework for reliable data observation and interaction.

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 spqw/skill-observable-framework --skill observable-framework-lib-sqlite -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

spqw

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 spqw/skill-observable-framework at 33944bf4e0.

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

Commit
33944bf4e0
Manifest
skills/observable-framework-lib-sqlite/SKILL.md
Scanned
1 file, 70 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 the Observable Framework library within an AI agent, enabling interaction with SQLite databases. It allows agents to query data, execute SQL commands, and manage database connections directly from prompts. This capability facilitates complex data analysis and manipulation tasks within the agent's workflow.

When to use it

  • Data Analysis: When your agent needs to analyze structured data stored in an SQLite database, such as sales records or sensor readings.
  • Report Generation: To automatically generate reports based on queries run against a database.
  • Database Management: For agents that need to perform administrative tasks like creating tables or updating existing data within an SQLite database.
  • Data-Driven Applications: When building applications where the agent's actions are dependent on information retrieved from an SQLite database.

Key capabilities

  • SQLite Database Interaction
  • Observable Framework Integration
  • SQL Query Execution
  • Database Connection Management

Example prompts

  • "Run this SQL query: SELECT * FROM users WHERE age > 30 and show me the results."
  • "Create a table named 'products' with columns for id, name, and price."
  • "Update the price of product with ID 123 to $25.99."

Tips & gotchas

  • Ensure that the SQLite database file is accessible to the agent environment.
  • Be mindful of SQL injection vulnerabilities when constructing queries from user input.