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-sms-isv-setupgit 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-sms-isv-setup)<a href="https://agentmods.dev/skills/twilio/ai/twilio-sms-isv-setup"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-sms-isv-setup/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-sms-isv-setup"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-sms-isv-setup.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 | $0.00080 | $0.02428 |
| Opus 5 | $0.00040 | $0.01214 |
| Sonnet 5 | $0.00016 | $0.00486 |
| Haiku 4.5 | $0.00008 | $0.00243 |
Grade A, and why
twilio-isv-sms-best-practices 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 10d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
ISVs face unique challenges when building SMS into their platforms: each customer needs their own number registration, sender pool management, compliance isolation, and usage tracking. This skill consolidates the architectural patterns and operational knowledge specific to multi-tenant SMS platforms.
Are You an ISV?
Before following this skill, determine whether you are an Independent Software Vendor (ISV) or a direct customer.
Direct Customer
Your company sends messages for your own products and services. Your end users know they are interacting with your brand.
Example: A shoe company called CoolShoes sends marketing messages and order updates for their own products. Even if CoolShoes owns multiple brands (CoolShoes and CoolShirts), they are still a direct customer because both brands are operated by the same company.
Follow the direct customer onboarding process — not this ISV skill.
ISV (Independent Software Vendor)
Your company provides messaging services to other businesses, who are represented by their own brands. Your end users think they are interacting with your client's brand, not yours.
Example: HotelTech Inc. sells a technology platform for hotels. When hotel SleepWell Inn uses the service, hotel visitors receive messages that appear to come from SleepWell Inn. Visitors likely don't know HotelTech powers the interaction.
Follow this ISV skill.
Still Not Sure? Two Key Questions
1. Who do your end users think they are receiving messages from?
- Your brand → You are a direct customer
- Your client's brand → You are an ISV
2. How much control do your clients have over message contents?
| Scenario | Classification | Example |
|---|---|---|
| Templated messages with little/no customization | Direct customer | EventSite sends templated event reminders to attendees. Event organizers can only customize basic details (event name, date). End users interact with EventSite brand. |
| Clients can customize and send messages on their own behalf | ISV | PoweringEvents provides a platform where car dealership CarWorld can write and send customized messages about their Cars & Coffee events. Attendees don't know PoweringEvents exists — messages appear to come from CarWorld. |
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.
- 10d ago First seen · 266 lines · 80 tokens per session scan A 053b358c2f28
twilio-isv-sms-best-practices is a skill published in the GitHub repository twilio/ai (30 stars, last pushed 26d ago), licensed MIT. It adds 80 tokens to every session and 2,428 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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