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Sql Analyst

Checked
rightnow-ai·vlatest·database·Apache-2.0

The SQL Analyst skill extracts insights from your databases by generating SQL queries and summarizing results, streamlining data analysis 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 rightnow-ai/openfang --skill sql-analyst -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

rightnow-ai

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 rightnow-ai/openfang at acf2587e46.

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

Commit
acf2587e46
Manifest
crates/openfang-skills/bundled/sql-analyst/SKILL.md
Scanned
1 file, 45 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

The SQL Analyst skill allows AI agents to query and analyze data stored in relational databases. It can generate complex SQL queries based on natural language instructions, retrieve specific information from tables, and perform calculations or aggregations to provide insights. The agent can also interpret the results of these queries and present them in a human-readable format.

When to use it

  • Data Exploration: Quickly explore data within a database without needing to manually write SQL code.
  • Report Generation: Automate the creation of reports based on specific data criteria.
  • Troubleshooting: Investigate and diagnose issues by querying relevant database tables for error logs or performance metrics.
  • Business Intelligence: Extract key business insights from databases, such as sales trends or customer behavior.

Key capabilities

  • SQL query generation
  • Data retrieval
  • Calculations and aggregations
  • Result interpretation

Example prompts

  • "Show me the total revenue for each product category."
  • "List all customers who placed an order in the last month."
  • "What is the average order value?"

Tips & gotchas

The agent requires access to a SQL database and appropriate credentials. Be specific with your requests, as ambiguous prompts may lead to inaccurate or incomplete results.