Sqlite Expert
CheckedCraft complex SQLite queries, analyze data, and troubleshoot errors with expert precision using this tool.
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 rightnow-ai/openfang --skill sqlite-expert -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
rightnow-ai
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 rightnow-ai/openfang at acf2587e46.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- acf2587e46
- Scanned
- 1 file, 40 lines
About this skill
What it does
This skill allows an AI agent to interact with and manipulate SQLite databases. It can execute SQL queries, create tables, insert data, and retrieve information from existing databases. The agent can also analyze database schemas and provide insights based on the data stored within.
When to use it
- Data Analysis: Extracting specific data points or trends from a local database for reporting purposes.
- Database Management: Creating new tables with defined structures and populating them with initial data.
- Application Integration: Interacting with an application's SQLite database to retrieve configuration settings or user data.
- Troubleshooting: Examining database contents to diagnose errors or identify inconsistencies in a system.
Key capabilities
- SQL query execution
- Table creation and modification
- Data insertion, retrieval, and deletion
- Database schema analysis
Example prompts
- "Run the following SQL query:
SELECT * FROM users WHERE age > 30." - "Create a table named 'products' with columns for id, name, and price."
- "What is the structure of the 'orders' table?"
- “Insert a new record into the ‘customers’ table with these values: [name, email, phone]”
Tips & gotchas
The agent requires access to an existing SQLite database file. Be mindful of SQL injection vulnerabilities when constructing queries based on user input; sanitize inputs appropriately.