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Sqlalchemy Postgres

Checked
cfircoo·vlatest·database·MIT

Connects to and queries PostgreSQL databases using SQLAlchemy, enabling data retrieval and manipulation via Python code.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add cfircoo/claude-code-toolkit --skill sqlalchemy-postgres -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

cfircoo

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned cfircoo/claude-code-toolkit at d6264305dc.

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Commit
d6264305dc
Manifest
skills/sqlalchemy-postgres/SKILL.md
Scanned
8 files, 2,301 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

The sqlalchemy-postgres skill enables AI agents to interact directly with PostgreSQL databases using the SQLAlchemy ORM. It allows agents to execute raw SQL queries, manage database sessions, and perform CRUD operations on tables defined within a PostgreSQL environment.

When to use it

  • Retrieving specific data records from a PostgreSQL table based on complex filtering criteria.
  • Inserting new rows into a database when an agent processes incoming user submissions or events.
  • Updating existing records in a live production database after analyzing logs or metrics.
  • Deleting obsolete entries from a dataset to maintain data hygiene and reduce storage costs.

Key capabilities

  • SQLAlchemy ORM Integration: Leverages the full power of SQLAlchemy for object-relational mapping with PostgreSQL.
  • Raw SQL Execution: Supports running custom, uncompiled SQL queries for complex logic not easily handled by ORM models.
  • Session Management: Handles database connections and transaction lifecycles automatically to ensure data integrity.
  • PostgreSQL Specifics: Optimized specifically for the PostgreSQL dialect, utilizing its advanced features like JSONB and full-text search.

Example prompts

  • "Query the users table in my PostgreSQL database to find all accounts created in the last 30 days."
  • "Insert a new row into the orders table with the customer ID 'C123', amount 50.00, and status 'pending'."
  • "Update the inventory_count column for product ID 'P999' to reflect the latest stock level from my warehouse system."

Tips & gotchas

Ensure your PostgreSQL database is running and accessible before attempting to connect; the skill will fail silently if connection parameters are incorrect. Always validate that the target tables exist in the specified schema, as SQLAlchemy cannot auto-discover remote table structures without explicit configuration.