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T2000 Check Balance

Checked
mission69b·vlatest·data·MIT

This skill checks your T2000 account balance, providing quick and reliable financial information for informed decisions.

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 t2000-afi/t2000 --skill t2000-check-balance --full-depth -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

mission69b

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 mission69b/t2000 at 41eed66d63.

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

Scanned
1 file, 57 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 t2000-check-balance skill allows an AI agent to retrieve and report account balances from a T2000 banking system. It can provide the current balance of checking, savings, or other specified account types. This skill facilitates automated financial inquiries and reporting for users interacting with the T2000 platform.

When to use it

  • Automated Financial Reporting: Schedule regular checks on account balances and generate reports.
  • Balance Inquiry via Chatbot: Integrate into a chatbot interface so users can ask about their balance.
  • Transaction Monitoring: Use the skill to verify that expected deposits or withdrawals have occurred.
  • Budgeting & Expense Tracking: Retrieve current balances for inclusion in budgeting and expense tracking tools.

Key capabilities

  • Retrieves account balances from T2000 banking system.
  • Supports checking, savings, and other account types.
  • Provides current balance information.

Example prompts

  • "What is my checking account balance?"
  • "Check the balance of my savings account."
  • "Report the current balance for all accounts."

Tips & gotchas

This skill requires proper authentication credentials to access the T2000 banking system. Ensure these are securely configured within the AI agent's environment.