Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
Give Hermes phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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:
~/.hermes/.env<Say> or <Play>This skill is meant to cover the practical phone tasks users actually want:
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.
Use this logic instead of hardcoded provider routing:
Use Twilio.
Why:
Use cases:
Use Bland.ai.
Why:
Tradeoff:
Use Twilio + Vapi.
Why:
Recommended flow:
VAPI_PHONE_NUMBER_IDai-call --provider vapiUse Twilio direct call with a public audio URL.
Why:
text_to_speech plus a public file host or tunnelThe skill persists telephony state in two places:
~/.hermes/.envUsed for long-lived provider credentials and owned-number IDs, for example:
TWILIO_ACCOUNT_SIDTWILIO_AUTH_TOKENTWILIO_PHONE_NUMBERTWILIO_PHONE_NUMBER_SIDBLAND_API_KEYVAPI_API_KEYVAPI_PHONE_NUMBER_IDPHONE_PROVIDER (AI call provider: bland or vapi)~/.hermes/telephony_state.jsonUsed for skill-only state that should survive across sessions, for example:
This means:
diagnose can tell you what number is already configuredtwilio-inbox --since-last --mark-seen can continue from the previous checkpointAfter installing this skill, locate the script like this:
SCRIPT="$(find ~/.hermes/skills -path '*/telephony/scripts/telephony.py' -print -quit)"
If SCRIPT is empty, the skill is not installed yet.
This is an official optional skill, so install it from the Skills Hub:
hermes skills search telephony
hermes skills install official/productivity/telephony
Sign up at:
Then save credentials into Hermes:
python3 "$SCRIPT" save-twilio ACXXXXXXXXXXXXXXXXXXXXXXXXXXXX your_auth_token_here
Search for available numbers:
python3 "$SCRIPT" twilio-search --country US --area-code 702 --limit 5
Buy and remember a number:
python3 "$SCRIPT" twilio-buy "+17025551234" --save-env
List owned numbers:
python3 "$SCRIPT" twilio-owned
Set one of them as the default later:
python3 "$SCRIPT" twilio-set-default "+17025551234" --save-env
# or
python3 "$SCRIPT" twilio-set-default PNXXXXXXXXXXXXXXXXXXXXXXXXXXXX --save-env
Sign up at:
Save config:
python3 "$SCRIPT" save-bland your_bland_api_key --voice mason
Sign up at:
Save the API key first:
python3 "$SCRIPT" save-vapi your_vapi_api_key
Import your owned Twilio number into Vapi and persist the returned phone number ID:
python3 "$SCRIPT" vapi-import-twilio --save-env
If you already know the Vapi phone number ID, save it directly:
python3 "$SCRIPT" save-vapi your_vapi_api_key --phone-number-id vapi_phone_number_id_here
At any time, inspect what the skill already knows:
python3 "$SCRIPT" diagnose
Use this first when resuming work in a later session.
python3 "$SCRIPT" save-twilio AC... auth_token_here
python3 "$SCRIPT" twilio-search --country US --area-code 702 --limit 10
~/.hermes/.env + state:python3 "$SCRIPT" twilio-buy "+17025551234" --save-env
python3 "$SCRIPT" diagnose
This shows the remembered default number and inbox checkpoint state.
python3 "$SCRIPT" twilio-send-sms "+15551230000" "Your deployment completed successfully."
With media:
python3 "$SCRIPT" twilio-send-sms "+15551230000" "Here is the chart." --media-url "https://example.com/chart.png"
Poll the inbox for the default Twilio number:
python3 "$SCRIPT" twilio-inbox --limit 20
Only show messages that arrived after the last checkpoint, and advance the checkpoint when you're done reading:
python3 "$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?”
python3 "$SCRIPT" twilio-call "+15551230000" --message "Hello! This is Hermes calling with your status update." --voice Polly.Joanna
This is the main path for reusing Hermes's existing text_to_speech support.
Use this when:
<Say>Generate or host audio separately, then:
python3 "$SCRIPT" twilio-call "+155****0000" --audio-url "https://example.com/briefing.mp3"
Recommended Hermes TTS -> Twilio Play workflow:
text_to_speech.--audio-url.Example agent flow:
text_to_speechtwilio-call --audio-url ... to deliver it by phoneGood hosting options for the MP3:
Important note:
If you need to press digits after the call connects, use --send-digits.
Twilio interprets w as a short wait.
python3 "$SCRIPT" twilio-call "+18005551234" --message "Connecting to billing now." --send-digits "ww1w2w3"
This is useful for reaching a specific menu branch before handing off to a human or delivering a short status message.
python3 "$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:
python3 "$SCRIPT" ai-status <call_id> --provider bland
Ask Bland analysis questions after completion:
python3 "$SCRIPT" ai-status <call_id> --provider bland --analyze "Was the appointment confirmed?,What date and time?,Any special instructions?"
python3 "$SCRIPT" vapi-import-twilio --save-env
python3 "$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
python3 "$SCRIPT" ai-status <call_id> --provider vapi
When the user asks for a call or text:
diagnose if configuration state is unclear.Those would require more infrastructure than a pure optional skill.
twilio-inbox polls the REST API; it is not instant push delivery.After setup, you should be able to do all of the following with just this skill:
diagnose shows provider readiness and remembered state~/.hermes/.envまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
日本語の概要は準備中です。原文の説明を表示しています。
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
日本語の概要は準備中です。原文の説明を表示しています。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。