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Telnyx Texml Python

Checked
team-telnyx·vlatest·backend·MIT

Automates complex call flows using Twilio's TwiML via Python scripting and Telnyx APIs for robust backend integration.

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-texml-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-texml-python/SKILL.md
Scanned
2 files, 1,208 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 process and manipulate Telnex TextML data using Python. It provides functionality for parsing, validating, and transforming this structured text format often used in telecommunications applications. The skill enables integration with Telnex services and systems through programmatic access to their data structures.

When to use it

  • Automating the extraction of information from Telnex call logs or transcripts.
  • Validating the structure and content of TextML files before processing them further.
  • Transforming TextML data into other formats (e.g., JSON, CSV) for analysis or reporting.
  • Building custom integrations with Telnex services that require TextML manipulation.

Key capabilities

  • Parsing Telnex TextML documents.
  • Validating the structure of TextML files against a schema.
  • Transforming TextML data into other formats.

Example prompts

  • "Parse this Telnex TextML and extract the caller ID."
  • "Validate if this TextML file is correctly formatted."
  • "Convert this TextML to JSON format."

Tips & gotchas

  • Requires a working Python environment with necessary libraries installed.
  • TextML schemas can be complex; ensure familiarity with the specific schema being used for accurate parsing and validation.