Sql Pro
CheckedThis skill allows you to execute SQL queries directly from your chat, simplifying database interaction and data retrieval for users.
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 claudchereji/visualverses --skill sql-pro -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
claudchereji
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 claudchereji/visualverses at 5971350ec1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5971350ec1
- Scanned
- 1 file, 281 lines
About this skill
What it does
This skill allows AI agents to execute SQL queries against databases. It can retrieve, insert, update, and delete data based on provided instructions. The agent can also generate SQL statements from natural language descriptions of the desired database operations.
When to use it
- Data Analysis: Extract specific insights or reports from a relational database.
- Database Management: Perform routine maintenance tasks like updating records or creating new entries.
- Application Integration: Interact with backend systems and databases to retrieve information for applications.
- Automated Reporting: Generate regular reports based on data stored in a database.
Key capabilities
- SQL query execution
- Data retrieval (SELECT)
- Data modification (INSERT, UPDATE, DELETE)
- Natural language to SQL generation
Example prompts
- "Get me the names of all customers from the 'customers' table."
- "Update the price of product ID 123 to $19.99 in the 'products' table."
- "Create a new user with username 'newuser' and password 'password' in the 'users' table."
Tips & gotchas
- Requires access to a database and appropriate credentials for the AI agent to connect.
- The accuracy of natural language to SQL generation depends on the complexity of the request and clarity of instructions.