Sqlmodel Orm Dbhelper
CheckedThis skill simplifies database interactions using SqlModel's ORM and DbHelper, streamlining data access for your projects.
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 alijilani-dev/claude --skill sqlmodel-orm-dbhelper -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
alijilani-dev
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 alijilani-dev/claude at 8885d32c4e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8885d32c4e
- Scanned
- 8 files, 2,121 lines
About this skill
What it does
This skill provides access to SQLAlchemy ORM and database helper functions for interacting with relational databases. It allows AI agents to execute SQL queries, manage database connections, and perform common database operations like creating tables, inserting data, and retrieving information. The skill simplifies complex database interactions by providing a higher-level abstraction layer.
When to use it
- Data Extraction: Retrieve specific data points from a database based on user requests (e.g., "Get me all customers in California").
- Database Management: Create new tables or modify existing ones within the database, allowing for dynamic schema changes.
- Automated Reporting: Generate reports by querying and aggregating data stored in a relational database.
- Data Updates: Update records in a database based on user instructions (e.g., "Change John Doe's address to 123 Main St.").
Key capabilities
- SQLAlchemy ORM integration
- Database connection management
- SQL query execution
- Table creation and modification
- Data insertion, retrieval, and updating
Example prompts
- "Create a table named 'users' with columns for id, name, and email."
- "Retrieve all records from the 'products' table where the price is greater than $50."
- "Update the 'orders' table to mark order ID 123 as shipped."
Tips & gotchas
- Requires a configured database connection. Ensure that the necessary credentials and connection details are provided for proper functionality.
- The agent needs appropriate permissions on the target database to execute queries and make changes.