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-sendgrid-suppressionsgit 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-sendgrid-suppressions)<a href="https://agentmods.dev/skills/twilio/ai/twilio-sendgrid-suppressions"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-sendgrid-suppressions/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-sendgrid-suppressions"><img src="https://agentmods.dev/badge/skills/twilio/ai/twilio-sendgrid-suppressions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00093 | $0.01088 |
| Opus 5 | $0.00046 | $0.00544 |
| Sonnet 5 | $0.00019 | $0.00218 |
| Haiku 4.5 | $0.00009 | $0.00109 |
Grade B, and why
twilio-sendgrid-suppressions scanned grade B with 2 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
requests.post("https://api.sendgrid.com/v3/asm/groups", Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get("https://api.sendgrid.com/v3/suppression/bounces", headers=headers) How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Suppressions prevent SendGrid from sending to addresses that have bounced, reported spam, or unsubscribed. They protect your sender reputation but can also block legitimate re-sends if not managed correctly.
Suppression Types
| Type | Endpoint | What triggers it | Auto-added? |
|---|---|---|---|
| Hard Bounces | /v3/suppression/bounces |
Permanent delivery failure (invalid mailbox, domain doesn't exist) | Yes |
| Soft Bounces | No management API — automatic retry only | Temporary failure (mailbox full, server down) — SendGrid auto-retries before suppressing | Yes, after repeated failures |
| Blocks | /v3/suppression/blocks |
Temporary rejection by receiving server (reputation, policy, content) | Yes |
| Spam Reports | /v3/suppression/spam_reports |
Recipient marks email as spam | Yes |
| Invalid Emails | /v3/suppression/invalid_emails |
Malformed email address | Yes |
| Global Unsubscribes | /v3/suppression/unsubscribes |
Recipient unsubscribes from all email | Yes |
| Group Unsubscribes (ASM) | /v3/asm/groups/{id}/suppressions |
Recipient unsubscribes from a category | Yes |
Hard vs Soft bounces: Hard bounces (permanent) immediately suppress the address. Soft bounces (temporary) trigger retries — SendGrid will retry delivery before eventually suppressing if the issue persists.
Managing Suppressions
List bounces (Python)
import os, requests
headers = {"Authorization": f"Bearer {os.environ['SENDGRID_API_KEY']}"}
response = requests.get("https://api.sendgrid.com/v3/suppression/bounces", headers=headers)
for bounce in response.json():
print(f"{bounce['email']}: {bounce.get('reason', 'unknown')}")
Remove a bounce (Python)
requests.delete(f"https://api.sendgrid.com/v3/suppression/bounces/{email}", headers=headers)
Caution: Deleting suppression records (especially spam reports) allows re-sending to addresses that previously complained. Always confirm with the user before removal and document the business reason.
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 · 104 lines · 93 tokens per session scan B 2d28ac525831
twilio-sendgrid-suppressions is a skill published in the GitHub repository twilio/ai (32 stars, last pushed 27d ago), licensed MIT. It adds 93 tokens to every session and 1,088 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…