Sqlitedata Usage Guide
CheckedThis guide explains how to effectively use SQLite data, a lightweight database, for your projects and is useful for beginners and developers.
Install on your platform
sqlitedata-usage-guide. bitxeno/sqlite-data-skill has no skill named "sqlitedata-usage-guide" any more. It was renamed, moved or deleted upstream.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-09-28. We don't show a command we know will fail.
What we know about this skill
Publisher
bitxeno
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.
Automated safety checks
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 bitxeno/sqlite-data-skill at e8cc577d54.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e8cc577d54
- Manifest
- SKILL.md
- Scanned
- 8 files, 1,461 lines
About this skill
What it does
The SQLiteData skill allows AI agents to interact with and query data stored in SQLite databases. It can execute SQL queries, retrieve results, and provide structured information from the database. This enables agents to access and utilize data for various tasks like reporting, analysis, or powering applications.
When to use it
- Reporting: Generate reports based on data residing in an SQLite database (e.g., sales figures, inventory levels).
- Data Analysis: Perform ad-hoc queries and analyses of data stored within a SQLite database.
- Application Backends: Use the skill as part of a larger application that needs to read and write data from a local SQLite file.
- Knowledge Base Retrieval: Query a knowledge base stored in an SQLite database to answer user questions or provide relevant information.
Key capabilities
- Execute SQL queries against an SQLite database.
- Retrieve results from SQL queries.
- Access and utilize structured data within the database.
Example prompts
- "Get me the total sales for each product category from the 'sales' table."
- "What are the names of all customers who placed orders in the last month?"
- "Show me a list of products with a quantity on hand less than 10."
Tips & gotchas
The skill requires access to an existing SQLite database file. Ensure the AI agent has the correct path and permissions to read from the specified database.