Sqlite Db
CheckedQuery, update, and manage data within SQLite databases using SQL commands directly through this agent.
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 bfollington/terma --skill sqlite-db -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
bfollington
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 bfollington/terma at 75e1bac231.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 75e1bac231
- Scanned
- 1 file, 589 lines
About this skill
What it does
This skill allows AI agents to interact with and manage SQLite databases. It can execute SQL queries, create tables, insert data, and retrieve information – essentially enabling the agent to store and access structured data persistently. The skill provides a simple interface for database operations within an AI workflow.
When to use it
- Data Logging: An agent needs to record user interactions or system events in a structured format for later analysis.
- Configuration Storage: Store application settings or preferences that need to be retrieved and updated by the agent.
- Inventory Management: Track items, quantities, or other relevant details within a simulated environment controlled by the AI agent.
- Simple Data Analysis: Perform basic data filtering and aggregation on stored information directly within the agent's workflow.
Key capabilities
- Execute SQL queries (SELECT, INSERT, UPDATE, DELETE)
- Create tables with specified schema
- Retrieve data from SQLite databases
- Manage database connections
Example prompts
- "Run a query to find all users who signed up after January 1st."
- "Create a table called 'products' with columns for name, price, and quantity."
- "Insert a new record into the 'orders' table with customer ID 123 and order date today."
Tips & gotchas
The agent needs to be provided with the path to an existing SQLite database file or instructed to create one. Be mindful of SQL injection vulnerabilities when constructing queries based on user input; proper sanitization is crucial.