Sqlmodel
CheckedSqlmodel facilitates rapid database interaction by providing a Python ORM for SQLAlchemy, streamlining data access and development.
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 shmlaiq/task-managment-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
shmlaiq
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 shmlaiq/task-managment-api at 78ac370052.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 78ac370052
- Manifest
- .claude/skills/sqlmodel/SKILL.md
- Scanned
- 6 files, 2,536 lines
About this skill
What it does
The sqlmodel skill allows AI agents to interact with a task management API using SQLModel, an ORM (Object Relational Mapper) for SQLAlchemy. It enables querying and manipulating data within the database, such as creating new tasks, updating existing ones, or retrieving lists of tasks based on specific criteria. This skill facilitates more complex interactions than simple text-based commands.
When to use it
- Task Creation: An agent needs to create a new task in the system with specific details (e.g., title, description, due date).
- Status Updates: The agent should update the status of an existing task based on progress or completion.
- Reporting: Generate reports summarizing tasks by priority, assignee, or other relevant fields.
- Filtering Tasks: Retrieve a list of tasks that match certain criteria (e.g., overdue tasks, tasks assigned to a specific user).
Key capabilities
- SQLModel ORM integration
- Database query execution
- Task data manipulation (create, read, update)
- Data filtering and reporting
Example prompts
- "Create a new task titled 'Write Report' with description 'Draft the quarterly sales report' due on 2024-12-31."
- "Update the status of task ID 123 to 'Completed'."
- "List all overdue tasks assigned to John Doe."
Tips & gotchas
The agent requires access credentials (username and password) for the database. Ensure that the database schema matches the expected structure defined by the API.