Sqlite
CheckedQuery and analyze SQLite databases using natural language; extract data and generate reports directly from your data.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add g1joshi/agent-skills --skill sqlite -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
g1joshi
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 g1joshi/agent-skills at 6a74cf03a8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6a74cf03a8
- Manifest
- skills/databases/sqlite/SKILL.md
- Scanned
- 1 file, 115 lines
About this skill
What it does
This skill allows AI agents to interact with SQLite databases. It can execute SQL queries, retrieve data, and perform basic database operations directly within the agent's workflow. The skill provides a structured way for agents to manage and utilize relational data.
When to use it
- Data Analysis: An agent needs to analyze sales figures stored in an SQLite database to identify trends.
- Inventory Management: An agent is tasked with updating product quantities in an inventory database based on new orders.
- Report Generation: The agent must generate a report summarizing customer data from an existing SQLite database.
- Configuration Storage: An agent needs to read and write configuration settings stored within an SQLite file.
Key capabilities
- Execute SQL queries (SELECT, INSERT, UPDATE, DELETE)
- Retrieve data from tables
- Interact with SQLite databases
Example prompts
- "Run a SELECT query on the 'customers' table to find all customers in California."
- "Insert a new record into the 'orders' table with these details: [order details]."
- “Update the price of product ID 123 in the ‘products’ table.”
Tips & gotchas
- The agent needs access to the SQLite database file. Ensure proper permissions are configured.
- Be mindful of SQL injection vulnerabilities when constructing queries from user input.