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 hyperfx-ai/marketing-skills --skill twiliogit clone --depth 1 https://github.com/hyperfx-ai/marketing-skillsWrote 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/hyperfx-ai/marketing-skills/twilio)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/twilio"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/twilio/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/hyperfx-ai/marketing-skills/twilio"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/twilio.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 | $0.00045 | $0.01141 |
| Opus 5.5 | $0.00018 | $0.00456 |
| Sonnet 5.5 | $0.00009 | $0.00228 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade A, and why
twilio 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 yesterday.
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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twilio Communications
Use this skill for all Twilio tasks including SMS, WhatsApp, voice calls, and verification.
Requirements
- Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
- Twilio integration enabled at https://app.hyperfx.ai/apps.
How to run the tools in this skill
Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:
| Surface | Find a tool | Run it |
|---|---|---|
| Hyper chat | Call the tool by its name; search_tools(queries=["<provider> <action>"]) shows its parameters |
<name>(...) |
| MCP client (Claude, Cursor, Codex, ChatGPT) | search("<what you want to do>"), then describe("<name>") |
call_read("<name>", {...}), call_write or call_destructive: the one that describe names in call_with |
| Hyper CLI | hyperai search "<what you want to do>", then hyperai describe <name> |
hyperai call <name> --json '{...}' |
If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit. On an MCP client or the CLI, tell the user which integration to connect in Hyper.
WhatsApp Sandbox Setup (Required for Testing)
Before sending WhatsApp messages in sandbox/testing mode, users must join the sandbox:
- User goes to: https://console.twilio.com/us1/develop/sms/try-it-out/whatsapp-learn
- They find their unique join code (e.g., "join happy-turtle")
- They send that message from WhatsApp to +14155238886
- Once confirmed, use
twilio_whatsapp_sendwithfrom_numberset to"+14155238886"
If WhatsApp message fails with "not a valid WhatsApp-enabled number" or similar:
- The user likely hasn't joined the sandbox yet
- Guide them through the steps above
Tool Quick Reference
Messaging
twilio_sms_send- Send SMS/MMS messagestwilio_whatsapp_send- Send WhatsApp messages (sandbox: use +14155238886 as from_number)twilio_messages_list- List message historytwilio_messages_delivery_status_check- Check if message was delivered
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.
- yesterday Changed · +1 lines 23dbaeccb741
- 1mo ago Changed · +11 lines ddf6854182e6
- 1mo ago First seen · 116 lines · 45 tokens per session scan A 846cf5bbd481
twilio is a skill published in the GitHub repository hyperfx-ai/marketing-skills (107 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 1,141 once invoked, about $0.0002 per session on Opus 5.5. 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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