본문으로 건너뛰기
cccskills
무료GitHub에 공개

telephony

Set up a reusable Twilio phone number, send SMS and MMS, and check incoming texts. Deliver recorded or spoken messages by phone, or place conversational AI calls through Bland.ai or Vapi.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Provision Twilio numbers, SMS/MMS, and AI outbound calls.

설치 방법 보기

이럴 때 유용합니다

  • Getting and reusing an agent phone number
  • Sending deployment alerts by SMS
  • Checking texts received since the previous session
  • Calling a restaurant to request a reservation

포함된 파일(2)

  • SKILL.md12.5 KB
  • scripts/telephony.py45.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Telephony — Numbers, Calls, and Texts without Core Tool Changes

This optional skill gives Hermes practical phone capabilities while keeping telephony out of the core tool list.

It ships with a helper script, scripts/telephony.py, that can:

  • save provider credentials into ${HERMES_HOME:-~/.hermes}/.env
  • search for and buy a Twilio phone number
  • remember that owned number for later sessions
  • send SMS / MMS from the owned number
  • poll inbound SMS for that number with no webhook server required
  • make direct Twilio calls using TwiML <Say> or <Play>
  • import the owned Twilio number into Vapi
  • place outbound AI calls through Bland.ai or Vapi

What this solves

This skill is meant to cover the practical phone tasks users actually want:

  • outbound calls
  • texting
  • owning a reusable agent number
  • checking messages that arrive to that number later
  • preserving that number and related IDs between sessions
  • future-friendly telephony identity for inbound SMS polling and other automations

It does not turn Hermes into a real-time inbound phone gateway. Inbound SMS is handled by polling the Twilio REST API. That is enough for many workflows, including notifications and some one-time-code retrieval, without adding core webhook infrastructure.

Safety rules — mandatory

  1. Always confirm before placing a call or sending a text.
  2. Never dial emergency numbers.
  3. Never use telephony for harassment, spam, impersonation, or anything illegal.
  4. Treat third-party phone numbers as sensitive operational data:
    • do not save them to Hermes memory
    • do not include them in skill docs, summaries, or follow-up notes unless the user explicitly wants that
  5. It is fine to persist the agent-owned Twilio number because that is part of the user's configuration.
  6. VoIP numbers are not guaranteed to work for all third-party 2FA flows. Use with caution and set user expectations clearly.

Decision tree — which service to use?

Use this logic instead of hardcoded provider routing:

1) "I want Hermes to own a real phone number"

Use Twilio.

Why:

  • easiest path to buying and keeping a number
  • best SMS / MMS support
  • simplest inbound SMS polling story
  • cleanest future path to inbound webhooks or call handling

Use cases:

  • receive texts later
  • send deployment alerts / cron notifications
  • maintain a reusable phone identity for the agent
  • experiment with phone-based auth flows later

2) "I only need the easiest outbound AI phone call right now"

Use Bland.ai.

Why:

  • quickest setup
  • one API key
  • no need to first buy/import a number yourself

Tradeoff:

  • less flexible
  • voice quality is decent, but not the best

3) "I want the best conversational AI voice quality"

Use Twilio + Vapi.

Why:

  • Twilio gives you the owned number
  • Vapi gives you better conversational AI call quality and more voice/model flexibility

Recommended flow:

  1. Buy/save a Twilio number
  2. Import it into Vapi
  3. Save the returned VAPI_PHONE_NUMBER_ID
  4. Use ai-call --provider vapi

4) "I want to call with a custom prerecorded voice message"

Use Twilio direct call with a public audio URL.

Why:

  • easiest way to play a custom MP3
  • pairs well with Hermes text_to_speech plus a public file host or tunnel

Files and persistent state

The skill persists telephony state in two places:

${HERMES_HOME:-~/.hermes}/.env

Used for long-lived provider credentials and owned-number IDs, for example:

  • TWILIO_ACCOUNT_SID
  • TWILIO_AUTH_TOKEN
  • TWILIO_PHONE_NUMBER
  • TWILIO_PHONE_NUMBER_SID
  • BLAND_API_KEY
  • VAPI_API_KEY
  • VAPI_PHONE_NUMBER_ID
  • PHONE_PROVIDER (AI call provider: bland or vapi)

~/.hermes/telephony_state.json

Used for skill-only state that should survive across sessions, for example:

  • remembered default Twilio number / SID
  • remembered Vapi phone number ID
  • last inbound message SID/date for inbox polling checkpoints

This means:

  • the next time the skill is loaded, diagnose can tell you what number is already configured
  • twilio-inbox --since-last --mark-seen can continue from the previous checkpoint

Locate the helper script

After installing this skill, locate the script like this:

SCRIPT="$(find ~/.hermes/skills -path '*/telephony/scripts/telephony.py' -print -quit)"

If SCRIPT is empty, the skill is not installed yet.

Install

This is an official optional skill, so install it from the Skills Hub:

hermes skills search telephony
hermes skills install official/productivity/telephony

Provider setup

Twilio — owned number, SMS/MMS, direct calls, inbound SMS polling

Sign up at:

Then save credentials into Hermes:

python "$SCRIPT" save-twilio ACXXXXXXXXXXXXXXXXXXXXXXXXXXXX your_auth_token_here

Search for available numbers:

python "$SCRIPT" twilio-search --country US --area-code 702 --limit 5

Buy and remember a number:

python "$SCRIPT" twilio-buy "+17025551234" --save-env

List owned numbers:

python "$SCRIPT" twilio-owned

Set one of them as the default later:

python "$SCRIPT" twilio-set-default "+17025551234" --save-env
# or
python "$SCRIPT" twilio-set-default PNXXXXXXXXXXXXXXXXXXXXXXXXXXXX --save-env

Bland.ai — easiest outbound AI calling

Sign up at:

Save config:

python "$SCRIPT" save-bland your_bland_api_key --voice mason

Vapi — better conversational voice quality

Sign up at:

Save the API key first:

python "$SCRIPT" save-vapi your_vapi_api_key

Import your owned Twilio number into Vapi and persist the returned phone number ID:

python "$SCRIPT" vapi-import-twilio --save-env

If you already know the Vapi phone number ID, save it directly:

python "$SCRIPT" save-vapi your_vapi_api_key --phone-number-id vapi_phone_number_id_here

Diagnose current state

At any time, inspect what the skill already knows:

python "$SCRIPT" diagnose

Use this first when resuming work in a later session.

Common workflows

A. Buy an agent number and keep using it later

  1. Save Twilio credentials:
python "$SCRIPT" save-twilio AC... auth_token_here
  1. Search for a number:
python "$SCRIPT" twilio-search --country US --area-code 702 --limit 10
  1. Buy it and save it into ${HERMES_HOME:-~/.hermes}/.env + state:
python "$SCRIPT" twilio-buy "+17025551234" --save-env
  1. Next session, run:
python "$SCRIPT" diagnose

This shows the remembered default number and inbox checkpoint state.

B. Send a text from the agent number

python "$SCRIPT" twilio-send-sms "+15551230000" "Your deployment completed successfully."

With media:

python "$SCRIPT" twilio-send-sms "+15551230000" "Here is the chart." --media-url "https://example.com/chart.png"

C. Check inbound texts later with no webhook server

Poll the inbox for the default Twilio number:

python "$SCRIPT" twilio-inbox --limit 20

Only show messages that arrived after the last checkpoint, and advance the checkpoint when you're done reading:

python "$SCRIPT" twilio-inbox --since-last --mark-seen

This is the main answer to “how do I access messages the number receives next time the skill is loaded?”

D. Make a direct Twilio call with built-in TTS

python "$SCRIPT" twilio-call "+15551230000" --message "Hello! This is Hermes calling with your status update." --voice Polly.Joanna

E. Call with a prerecorded / custom voice message

This is the main path for reusing Hermes's existing text_to_speech support.

Use this when:

  • you want the call to use Hermes's configured TTS voice rather than Twilio <Say>
  • you want a one-way voice delivery (briefing, alert, joke, reminder, status update)
  • you do not need a live conversational phone call

Generate or host audio separately, then:

python "$SCRIPT" twilio-call "+155****0000" --audio-url "https://example.com/briefing.mp3"

Recommended Hermes TTS -> Twilio Play workflow:

  1. Generate the audio with Hermes text_to_speech.
  2. Make the resulting MP3 publicly reachable.
  3. Place the Twilio call with --audio-url.

Example agent flow:

  • Ask Hermes to create the message audio with text_to_speech
  • If needed, expose the file with a temporary static host / tunnel / object storage URL
  • Use twilio-call --audio-url ... to deliver it by phone

Good hosting options for the MP3:

  • a temporary public object/storage URL
  • a short-lived tunnel to a local static file server
  • any existing HTTPS URL the phone provider can fetch directly

Important note:

  • Hermes TTS is great for prerecorded outbound messages
  • Bland/Vapi are better for live conversational AI calls because they handle the real-time telephony audio stack themselves
  • Hermes STT/TTS alone is not being used here as a full duplex phone conversation engine; that would require a much heavier streaming/webhook integration than this skill is trying to introduce

F. Navigate a phone tree / IVR with Twilio direct calling

If you need to press digits after the call connects, use --send-digits. Twilio interprets w as a short wait.

python "$SCRIPT" twilio-call "+18005551234" --message "Connecting to billing now." --send-digits "ww1w2w3"

This is useful for reaching a specific menu branch before handing off to a human or delivering a short status message.

G. Outbound AI phone call with Bland.ai

python "$SCRIPT" ai-call "+15551230000" "Call the dental office, ask for a cleaning appointment on Tuesday afternoon, and if they do not have Tuesday availability, ask for Wednesday or Thursday instead." --provider bland --voice mason --max-duration 3

Check status:

python "$SCRIPT" ai-status <call_id> --provider bland

Ask Bland analysis questions after completion:

python "$SCRIPT" ai-status <call_id> --provider bland --analyze "Was the appointment confirmed?,What date and time?,Any special instructions?"

H. Outbound AI phone call with Vapi on your owned number

  1. Import your Twilio number into Vapi:
python "$SCRIPT" vapi-import-twilio --save-env
  1. Place the call:
python "$SCRIPT" ai-call "+15551230000" "You are calling to make a dinner reservation for two at 7:30 PM. If that is unavailable, ask for the nearest time between 6:30 and 8:30 PM." --provider vapi --max-duration 4
  1. Check result:
python "$SCRIPT" ai-status <call_id> --provider vapi

Suggested agent procedure

When the user asks for a call or text:

  1. Determine which path fits the request via the decision tree.
  2. Run diagnose if configuration state is unclear.
  3. Gather the full task details.
  4. Confirm with the user before dialing or texting.
  5. Use the correct command.
  6. Poll for results if needed.
  7. Summarize the outcome without persisting third-party numbers to Hermes memory.

What this skill still does not do

  • real-time inbound call answering
  • webhook-based live SMS push into the agent loop
  • guaranteed support for arbitrary third-party 2FA providers

Those would require more infrastructure than a pure optional skill.

Pitfalls

  • Twilio trial accounts and regional rules can restrict who you can call/text.
  • Some services reject VoIP numbers for 2FA.
  • twilio-inbox polls the REST API; it is not instant push delivery.
  • Vapi outbound calling still depends on having a valid imported number.
  • Bland is easiest, but not always the best-sounding.
  • Do not store arbitrary third-party phone numbers in Hermes memory.

Verification checklist

After setup, you should be able to do all of the following with just this skill:

  1. diagnose shows provider readiness and remembered state
  2. search and buy a Twilio number
  3. persist that number to ${HERMES_HOME:-~/.hermes}/.env
  4. send an SMS from the owned number
  5. poll inbound texts for the owned number later
  6. place a direct Twilio call
  7. place an AI call via Bland or Vapi

References

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

1password

무료

Set up the 1Password CLI and use stored passwords or API keys in commands and configuration templates. Choose an authentication method, retrieve secret references, and pass credentials to processes through environment variables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Installing and configuring the 1Password CLI
  • Running commands with stored API keys
  • Filling configuration templates with stored secrets
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Build an Excel workbook linking the income statement, balance sheet, and cash flow statement. Populate historical figures, create formula-based forecasts, compare scenarios, and check that balances and cash totals agree across all three statements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Populating a financial model template with historical data
  • Building linked forecasts across three financial statements
  • Comparing base, upside, and downside scenarios
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Adapt existing PyTorch training scripts to use multiple GPUs or machines with limited code changes. The skill guides configuration, launch commands, mixed precision, which uses lower-precision numbers, and DeepSpeed or FSDP settings for distributing training work and memory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Move a single-GPU training script to multiple GPUs
  • Configure mixed precision training
  • Set up DeepSpeed or FSDP to reduce memory use
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Configure Hermes to run AI models through Actual Computer on your own hardware. Set up either the hosted relay or a local connection, select models, verify responses, and troubleshoot request errors or empty output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Connecting Hermes with an Actual inference key
  • Running models through a local Actual daemon
  • Downloading and loading local models
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Test an app from the perspective of a frustrated, less technical user. Find confusing steps and barriers, separate actionable usability problems from personal complaints, and produce screenshots, suggested fixes, and prioritized tickets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing usability before a launch or demo
  • Checking the experience of a new user
  • Finding friction in signup and subscription flows
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

Resolve Git merge conflicts between two agents by comparing both changes and their stated goals. Combine compatible work, explain choices where designs differ, and verify the merged result with project builds or tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Resolving conflicts between branches edited by two agents
  • Integrating changes from parallel worktrees
  • Reviewing reasons for conflicting design choices
NousResearch/hermes-agent25.5만2026년 10월 18일 업데이트

NousResearch의 스킬 모두 보기

이 스킬의 문제 신고