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Mssql

Checked
sanjay3290·vlatest·database·Apache-2.0

Executes SQL queries against Microsoft SQL Server databases, streamlining data retrieval and manipulation for various applications.

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 sanjay3290/ai-skills --skill mssql -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

sanjay3290

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.

    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 sanjay3290/ai-skills at 281d88df19.

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

Commit
281d88df19
Manifest
skills/mssql/SKILL.md
Scanned
5 files, 545 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.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact directly with Microsoft SQL Server databases. It allows the agent to execute raw T-SQL queries, manage database connections, and retrieve structured data for analysis or reporting tasks.

When to use it

  • You need an AI agent to query live transactional data from a SQL Server instance.
  • Your workflow requires executing complex stored procedures or ad-hoc T-SQL scripts dynamically.
  • You want the agent to fetch specific rows or columns from existing tables based on user-defined filters.
  • You are building a reporting dashboard where an AI must summarize database metrics in real-time.

Key capabilities

  • Execute raw T-SQL queries against Microsoft SQL Server.
  • Manage active database connections and sessions.
  • Retrieve structured tabular results from the database engine.
  • Handle authentication and connection string configuration for secure access.

Example prompts

  • "Connect to our production SQL Server and fetch the total sales revenue for Q3 2024."
  • "Run a stored procedure named GetCustomerDetails with the parameter ID set to 105."
  • "Query the Users table to find all accounts that have not logged in during the last 30 days."

Tips & gotchas

Ensure your AI agent has valid credentials and connection strings configured before attempting to execute queries. Be cautious when granting database permissions, as unrestricted access could lead to data exposure or accidental modifications if the agent is not properly sandboxed.