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-taskrouter-routinggit 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-taskrouter-routing)<a href="https://agentmods.dev/skills/twilio/ai/twilio-taskrouter-routing"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-taskrouter-routing/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-taskrouter-routing"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-taskrouter-routing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.03155 |
| Opus 5 | $0.00033 | $0.01577 |
| Sonnet 5 | $0.00013 | $0.00631 |
| Haiku 4.5 | $0.00007 | $0.00315 |
Grade A, and why
twilio-taskrouter-routing 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 9d 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 — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
TaskRouter is Twilio's skills-based routing engine. Instead of building custom queuing logic, you define Workers (agents), Task Queues (groups), and Workflows (routing rules). TaskRouter matches incoming tasks to the best available worker.
Incoming Task → Workflow (routing rules) → Task Queue (skill match) → Worker (agent)
↓
Reservation
(accept/reject)
Common mistake: Developers reinvent TaskRouter in custom Node.js — don't. If you're building skills-based routing, queue management, or agent assignment, use TaskRouter.
Prerequisites
- Twilio account — see
twilio-account-setup TWILIO_ACCOUNT_SIDandTWILIO_AUTH_TOKEN— seetwilio-iam-auth-setup- SDK:
pip install twilio/npm install twilio - For voice routing: a Twilio phone number with webhook configured — see
twilio-voice-twiml - For AI escalation: ConversationRelay with escalation tools — see
twilio-voice-conversation-relay
Quickstart
Step 1 — Create a Workspace
A Workspace is the top-level container for all TaskRouter resources.
Python
import os
from twilio.rest import Client
client = Client(os.environ["TWILIO_ACCOUNT_SID"], os.environ["TWILIO_AUTH_TOKEN"])
workspace = client.taskrouter.v1.workspaces.create(
friendly_name="Support Center",
event_callback_url="https://yourapp.com/taskrouter-events"
)
workspace_sid = workspace.sid # WSxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
print(workspace_sid)
Node.js
const twilio = require("twilio");
const client = twilio(process.env.TWILIO_ACCOUNT_SID, process.env.TWILIO_AUTH_TOKEN);
const workspace = await client.taskrouter.v1.workspaces.create({
friendlyName: "Support Center",
eventCallbackUrl: "https://yourapp.com/taskrouter-events",
});
const workspaceSid = workspace.sid;
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.
- 9d ago First seen · 418 lines · 66 tokens per session scan A 290218792a1a
twilio-taskrouter-routing is a skill published in the GitHub repository twilio/ai (30 stars, last pushed 25d ago), licensed MIT. It adds 66 tokens to every session and 3,155 once invoked, about $0.0003 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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