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Telnyx Ai Inference Python

Checked
team-telnyx·vlatest·backend·MIT

Helps with AI, Python as part of developing backend services and APIs workflows.

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-inference-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.

Scanned
2 files, 1,370 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 allows AI agents to perform inference using Python code. It enables the agent to execute custom Python scripts and receive their output, facilitating complex calculations or interactions with external services not directly supported by other skills. The skill provides a secure environment for running user-provided Python code within an agent workflow.

When to use it

  • Complex Calculations: When your agent needs to perform intricate mathematical operations that go beyond simple arithmetic.
  • External API Integration: To interact with APIs or services requiring custom logic not readily available through standard skills.
  • Data Transformation: For transforming data into a specific format required by another skill or system.
  • Custom Logic Execution: When the agent requires running bespoke Python code to achieve a unique task within a workflow.

Key capabilities

  • Executes user-provided Python scripts.
  • Provides output from executed Python code.
  • Secure execution environment for Python code.

Example prompts

  • "Run this Python script: print('Hello, world!')"
  • "Calculate the Fibonacci sequence up to 10 terms using this Python code."
  • "Execute this Python script and return the result of the calculation."

Tips & gotchas

  • Ensure the provided Python code is valid and doesn't rely on external dependencies not available in the execution environment.
  • Be mindful of potential security implications when executing user-provided code; validate inputs carefully.