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Azure Postgres Ts

Listed
sickn33·vlatest·database·MIT

Helps with Azure, PostgreSQL as part of deploying and managing cloud infrastructure workflows.

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 sickn33/agentic-awesome-skills --skill azure-postgres-ts -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5a4cdd9df8
Manifest
skills/azure-postgres-ts/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with Azure PostgreSQL databases. It can execute SQL queries, retrieve data, and perform database management tasks directly from within the agent's workflow. The skill provides a secure and efficient way for agents to access and manipulate data stored in Azure Postgres.

When to use it

  • Data Extraction: An agent needs to pull specific customer order details from an Azure PostgreSQL database for reporting purposes.
  • Automated Updates: Automatically update product inventory levels in the database based on real-time sales data processed by the AI agent.
  • Database Queries: Retrieve a list of all users created within the last week from a PostgreSQL database to identify potential security risks.
  • Data Migration: Migrate data between different databases or schemas using SQL queries executed through the skill.

Key capabilities

  • Execute SQL queries against Azure PostgreSQL instances.
  • Retrieve data from tables and views.
  • Securely connect to Azure Postgres using provided credentials.

Example prompts

  • "Run a query to find all customers who placed an order in the last month."
  • "Update the 'products' table, setting the price of item ID 123 to $19.99."
  • "Retrieve the total number of active users from the database."

Tips & gotchas

  • Ensure your AI agent has appropriate permissions and credentials configured within Azure to access the PostgreSQL instance.
  • Be mindful of SQL injection vulnerabilities when constructing queries; sanitize user inputs where necessary.