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Sqlserver Expert

Checked
fabriciofs·vlatest·database·MIT

This SQL Server Expert skill provides in-depth knowledge and assistance for working with Microsoft's database system, streamlining queries & troubleshooting.

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 fabriciofs/mcp-postgres --skill sqlserver-expert -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

fabriciofs

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 fabriciofs/mcp-postgres at d5441431bc.

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

Commit
d5441431bc
Manifest
.claude/skills/sqlserver-expert/SKILL.md
Scanned
1 file, 144 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 using the fabriciofs/mcp-postgres framework. It allows agents to execute queries, manage schemas, and retrieve data from SQL Server instances programmatically.

When to use it

  • Analyzing large datasets stored in SQL Server for business intelligence reports.
  • Automating routine database maintenance tasks like backups or index checks.
  • Debugging complex SQL queries by having an agent test them against a live instance.
  • Integrating real-time data from SQL Server into external applications or dashboards.

Key capabilities

  • Execute raw SQL queries against a connected SQL Server instance.
  • Retrieve and format database results for analysis.
  • Manage database schemas and tables within the supported environment.

Example prompts

  • "Query the sales table in my SQL Server to find total revenue by region for last quarter."
  • "Create a new view named customer_summary that joins the customers and orders tables."
  • "List all tables in the current database schema and show their row counts."

Tips & gotchas

Ensure your SQL Server instance is properly configured to accept remote connections from the environment where the AI agent operates. Verify that the necessary permissions are granted for the agent to execute read/write operations as intended.