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Telnyx Ai Assistants Python

Checked
team-telnyx·vlatest·backend·MIT

Helps with AI, Python as part of developing backend services and APIs 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 team-telnyx/ai --skill telnyx-ai-assistants-python -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

team-telnyx

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 team-telnyx/telnyx-ext-agent-skills at 02d34331a0.

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

Commit
02d34331a0
Manifest
providers/cursor/plugin/skills/telnyx-ai-assistants-python/SKILL.md
Scanned
4 files, 1,636 lines
Copies in repo
2 — all of them scanned
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 provides Python integration for Telnyx AI Assistants. It allows you to execute custom Python code within your AI Assistant workflows, enabling complex logic and data processing beyond the capabilities of standard prompt engineering. This facilitates tasks like accessing external APIs, performing calculations, or manipulating data in a structured way.

When to use it

  • Data Transformation: You need to process user input or API responses before presenting them back to the user.
  • API Integration: You want your AI Assistant to interact with services that require custom Python code for authentication or data handling.
  • Complex Calculations: The AI assistant needs to perform calculations beyond simple arithmetic, such as financial modeling or statistical analysis.
  • Custom Logic Execution: You need to implement specific business rules or workflows within the AI Assistant's response generation process.

Key capabilities

  • Python code execution within Telnyx AI Assistants
  • Integration with external APIs via Python libraries
  • Data manipulation and transformation using Python
  • Support for custom logic and calculations

Example prompts

  • "Can you fetch the current weather in London and format it as a JSON object?"
  • "Calculate the compound interest on $10,000 at 5% annually for 3 years."
  • "Retrieve customer order history from our internal database using this SQL query: [SQL Query]"

Tips & gotchas

  • Ensure your AI Assistant has access to the necessary Python libraries and dependencies.
  • Be mindful of security implications when executing custom code, especially if it interacts with external services.