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 agentmods add skills/patterai/skills/setup-patternpx skills add PatterAI/skills --skill setup-pattergit clone --depth 1 https://github.com/PatterAI/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/patterai/skills/setup-patter)<a href="https://agentmods.dev/skills/patterai/skills/setup-patter"><img src="https://agentmods.dev/badge/skills/patterai/skills/setup-patter.svg" alt="Measured on agentmods" 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 | $0.00125 | $0.02956 |
| Opus 5 | $0.00063 | $0.01478 |
| Sonnet 5 | $0.00025 | $0.00591 |
| Haiku 4.5 | $0.00013 | $0.00296 |
Grade A, and why
setup-patter scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -o /dev/null -w "%{http_code}\n" https://api.openai.com/v1/models \ How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set up Patter
Install the Patter SDK and provision the credentials required to place or receive real phone calls. Patter is open-source — there is no Patter API key. You bring your own provider (OpenAI / ElevenLabs / Deepgram / …) and your own carrier (Twilio or Telnyx) keys, and Patter wires them together.
Workflow
Step 1 — Pick a runtime
Ask the user which SDK they want. Both have full feature parity.
- Python (3.11+):
pip install "getpatter>=0.7.0" - TypeScript (Node 20+):
npm install "getpatter@>=0.7.0"
If they're unsure, default to whichever language the rest of their project is in. Do not install both.
Step 2 — Pick an engine (decides which provider keys are needed)
| Engine | What it does | Required keys |
|---|---|---|
OpenAIRealtime2 (recommended, GA since 0.6.3) |
Speech-to-speech via OpenAI Realtime API — lowest latency | OPENAI_API_KEY |
OpenAIRealtime (legacy) |
Older gpt-realtime-mini model. Same key. |
OPENAI_API_KEY |
ElevenLabsConvAI |
ElevenLabs ConversationAI — turn-taking model | ELEVENLABS_API_KEY |
Pipeline (no engine arg) |
STT → LLM → TTS — mix providers freely | At least one each of STT/LLM/TTS key |
If the user wants the simplest setup, default to OpenAIRealtime2 — single
key, lowest latency, GA quality. Mention Pipeline only if they ask for custom
STT/LLM/TTS or for cost tuning.
Step 3 — Pick a carrier
| Carrier | Audio format | Required env |
|---|---|---|
| Twilio | mulaw 8 kHz | TWILIO_ACCOUNT_SID, TWILIO_AUTH_TOKEN |
| Telnyx | PCM 16 kHz | TELNYX_API_KEY |
Twilio is the default suggestion — broader US/EU coverage, mature TwiML ecosystem. Telnyx is preferable in regions where Twilio coverage is weak and for users who want lower carrier cost.
Buying a phone number is the user's job, not the AI agent's — link the console:
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.
- 5d ago First seen · 241 lines · 125 tokens per session scan A cb5c5b196522
setup-patter is a skill published in the GitHub repository PatterAI/skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 125 tokens to every session and 2,956 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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