Sqlmodel
CheckedSqlmodel simplifies Python database interactions by providing a powerful and intuitive ORM for building SQL models, boosting development speed and data access efficiency.
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 salmanferozkhan/cloud-and-fast-api --skill sqlmodel -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
salmanferozkhan
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 salmanferozkhan/cloud-and-fast-api at 5ca8b5f473.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5ca8b5f473
- Manifest
- .claude/skills/sqlmodel/SKILL.md
- Scanned
- 5 files, 1,584 lines
About this skill
What it does
The sqlmodel skill enables AI agents to interact with and manipulate SQL databases. It provides a framework for defining database models using Python, simplifying common tasks like querying data, creating tables, and performing updates. This skill streamlines database operations within an agent's workflow, allowing for more sophisticated data-driven interactions.
When to use it
- Data Extraction: Retrieve specific information from a database based on user requests (e.g., "Find all customers in California").
- Automated Reporting: Generate reports or summaries of data stored in a SQL database (e.g., "Create a report showing monthly sales figures").
- Database Updates: Modify existing data within a database, such as updating customer addresses or adding new products.
- Data Analysis: Perform basic analysis on data sets to identify trends and patterns.
Key capabilities
- Model definition using Python classes
- Database interaction through SQL queries
- Table creation and management
- Data querying and filtering
- Data updates and insertions
Example prompts
- "Retrieve all orders placed in the last week from the 'orders' table."
- "Create a new user with username 'newuser' and email '[email protected]'."
- "Update the price of product ID 123 to $19.99."
Tips & gotchas
The agent needs access to a SQL database and appropriate credentials for successful operation. The skill’s effectiveness depends on well-defined database models and accurate table schemas.