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Mysql

Checked
chaterm·vlatest·database·Apache-2.0

Connects to MySQL databases, executes queries, and retrieves results directly within the chaterm interface.

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 chaterm/terminal-skills --skill mysql -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

chaterm

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 chaterm/terminal-skills at 464c295428.

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

Commit
464c295428
Manifest
database/mysql/SKILL.md
Scanned
1 file, 146 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 chaterm-mysql skill allows AI agents to interact with MySQL databases. It provides capabilities to execute SQL queries, retrieve data, and manage database connections directly within the agent's workflow. This enables automated tasks like data extraction, reporting, and database maintenance.

When to use it

  • Automated Reporting: Generate reports from a MySQL database based on specific criteria or schedules.
  • Data Extraction for Analysis: Extract relevant data from a MySQL database for further analysis by other tools or skills.
  • Database Maintenance: Perform routine tasks like backups, index optimization, or table maintenance directly through the agent.
  • Populating Applications with Data: Automatically populate application databases with data retrieved from a source MySQL database.

Key capabilities

  • Execute SQL queries against a MySQL database.
  • Retrieve and process data from tables.
  • Manage database connections (hostname, username, password).

Example prompts

  • "Run the query 'SELECT * FROM customers WHERE city = 'New York''."
  • "Get me the total sales for each product category from the 'orders' table."
  • "Connect to the MySQL database and show me the latest 10 entries in the 'logs' table."

Tips & gotchas

  • Ensure your AI agent has appropriate credentials (hostname, username, password) to access the target MySQL database.
  • Be mindful of SQL injection vulnerabilities when constructing queries dynamically; sanitize inputs properly.