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-numbers-sendersgit 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-numbers-senders)<a href="https://agentmods.dev/skills/twilio/ai/twilio-numbers-senders"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-numbers-senders/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-numbers-senders"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-numbers-senders.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 Excessive Agency · line 170 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00073 | $0.03311 |
| Opus 5 | $0.00036 | $0.01656 |
| Sonnet 5 | $0.00015 | $0.00662 |
| Haiku 4.5 | $0.00007 | $0.00331 |
Grade A, and why
twilio-numbers-senders 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 12d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Choosing the right number type and sender is the first decision in any Twilio project. Each number type comes with its own compliance/verification program, throughput limits, and capabilities. Developers who skip this step buy numbers first, build their app, then discover they chose the wrong type.
Lifecycle: Choose numbers/senders (this skill) → Register them (twilio-compliance-onboarding) → Follow traffic rules (twilio-compliance-traffic)
US Number Types — Comparison
| Local (10DLC) | Toll-Free (800/888/877) | Short Code (5-6 digits) | |
|---|---|---|---|
| SMS | Yes | Yes | Yes |
| MMS | Yes | Yes | Yes |
| Voice | Yes | Yes | No |
| Two-way | Yes | Yes | Yes |
| Throughput | ~1-75+ SMS/sec (varies by trust score) | ~3 SMS/sec | 10-100 SMS/sec |
| Compliance program | A2P 10DLC (brand + campaign) | Toll-Free Verification | Pre-approved at purchase (carrier review) |
| Approval timeline | 10-15 business days | 3-5 business days | 8-12 weeks provisioning |
| Best for | Transactional, marketing, support | Notifications, support, verification | High-volume marketing, 2FA |
| Cost | Lowest | Medium | Highest (setup + monthly + per-msg) |
Source: US/Canada SMS comparison
Compliance Programs Per Number Type
Every US number type requires its own verification before traffic flows:
- Local 10DLC → A2P 10DLC registration: Brand registration (EIN, business identity) + Campaign registration (use case, sample messages, opt-in flow). Trust Score determines throughput. Sole Proprietors: ~1 SMS/sec, 1 campaign. Standard: ~15+ SMS/sec, scales with secondary vetting. A2P overview | Quickstart
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.
- 12d ago First seen · 223 lines · 73 tokens per session scan A de7b4c12d3e6
twilio-numbers-senders is a skill published in the GitHub repository twilio/ai (32 stars, last pushed 28d ago), licensed MIT. It adds 73 tokens to every session and 3,311 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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