Twilio for AI provides coding agents with skills and an MCP server for using Twilio services and documentation. The MCP server searches Twilio documentation and API specifications and retrieves full schemas for selected operations, while the skills supply procedural guidance to agents. Its catalogue add-ons are intended for Claude Code, Cursor, Codex, and other tools that support the Agent Skills standard.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add twilio/ai --skill twilio-voice-twimlgit clone --depth 1 https://github.com/twilio/aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/twilio/ai/twilio-voice-twiml)<a href="https://agentmods.dev/skills/twilio/ai/twilio-voice-twiml"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-voice-twiml/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/twilio/ai/twilio-voice-twiml"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-voice-twiml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 107 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.02543 |
| Opus 5 | $0.00037 | $0.01272 |
| Sonnet 5 | $0.00015 | $0.00509 |
| Haiku 4.5 | $0.00007 | $0.00254 |
Grade A, and why
twilio-voice-twiml scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
TwiML is XML that Twilio executes during a call. Your server returns a TwiML document in response to a Twilio webhook POST, and Twilio executes it.
Caller → Twilio → POST to your webhook → Your server returns TwiML → Twilio executes it
Prerequisites
- Twilio account with a voice-capable phone number
— New to Twilio? See
twilio-account-setup - Webhook endpoint returning TwiML with
Content-Type: text/xml - SDK (for programmatic generation):
pip install twilio/npm install twilio
Quickstart
A minimal inbound call handler that greets the caller and presents a menu:
Python (Flask)
from flask import Flask, request
from twilio.twiml.voice_response import VoiceResponse
app = Flask(__name__)
@app.route("/voice", methods=["POST"])
def handle_call():
response = VoiceResponse()
gather = response.gather(num_digits=1, action="/menu-choice")
gather.say("Welcome to Acme. Press 1 for sales, 2 for support.")
response.redirect("/voice") # Loop if no input
return str(response)
@app.route("/menu-choice", methods=["POST"])
def menu_choice():
digit = request.form.get("Digits")
response = VoiceResponse()
if digit == "1":
response.dial("+15551234567")
elif digit == "2":
response.say("Connecting to support.")
response.dial("+15559876543")
else:
response.say("Invalid option.")
response.redirect("/voice")
return str(response)
Node.js (Express)
const { VoiceResponse } = require("twilio").twiml;
app.post("/voice", (req, res) => {
const response = new VoiceResponse();
const gather = response.gather({ numDigits: 1, action: "/menu-choice" });
gather.say("Welcome. Press 1 for sales, 2 for support.");
response.redirect("/voice");
res.type("text/xml").send(response.toString());
});
app.post("/menu-choice", (req, res) => {
const digit = req.body.Digits;
const response = new VoiceResponse();
if (digit === "1") response.dial("+15551234567");
else response.say("Invalid option.").redirect("/voice");
res.type("text/xml").send(response.toString());
});
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 352 lines · 75 tokens per session scan A 60d5495a42a9
twilio-voice-twiml is a skill published in the GitHub repository twilio/ai (32 stars, last pushed 27d ago), licensed MIT. It adds 75 tokens to every session and 2,543 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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