Sqlite Ops
ListedAutomates SQLite database tasks like querying, updating, and schema modifications using natural language instructions.
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 neversight/learn-skills.dev --skill sqlite-ops -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
neversight
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 neversight/skills_feed at 58220bbac4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 58220bbac4
- Scanned
- 0 files
About this skill
What it does
This skill allows AI agents to interact with SQLite databases. It can execute SQL queries, retrieve data, and manage database connections programmatically. The agent can perform tasks like creating tables, inserting records, updating existing data, and deleting entries within the database.
When to use it
- Data Analysis: Extracting specific information from a local dataset for reporting or decision-making.
- Application Backends: Interacting with a small, self-contained application that stores its data in an SQLite database.
- Configuration Management: Reading and writing configuration settings stored within an SQLite file.
- Local Data Storage: Managing persistent data locally without relying on external services.
Key capabilities
- Execute SQL queries (SELECT, INSERT, UPDATE, DELETE)
- Manage database connections
- Create tables
- Retrieve data from tables
Example prompts
- "Run the query 'SELECT * FROM users WHERE age > 30' against the database 'my_database.db'."
- "Insert a new record into the 'products' table with name='widget', price=19.99."
- "Create a table called 'customers' with columns 'id', 'name', and 'email'."
Tips & gotchas
- Ensure the agent has access to the SQLite database file path.
- The skill requires familiarity with SQL syntax for effective use.