1Passwordに保存したパスワードやAPIキーを、コマンド実行や設定テンプレートで使うためのスキル。CLIの導入、認証、秘密情報の取得・受け渡しを案内します。
- 1Password CLIの導入と設定
- 保存済みAPIキーでコマンド実行
- 設定テンプレートへの秘密情報の埋め込み
Join a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it.
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。
The user says any of:
| Mode | What the bot does |
|---|---|
transcribe (default) | Joins, enables captions, scrapes a transcript. Listen-only. |
realtime | Same as transcribe PLUS speaks into the meeting via OpenAI Realtime. The agent calls meet_say(text) and the bot's voice comes out of the call. |
Pick realtime only when the user actually wants the agent to speak. It costs real money (OpenAI Realtime is pay-per-audio-minute) and requires a virtual audio device set up on the machine running the bot.
| Location | When |
|---|---|
| Local (default) | Gateway machine runs the Playwright bot directly. |
Remote node (node="<name>") | Bot runs on a different machine that has a signed-in Chrome and (for realtime) a configured audio bridge. Useful when the gateway runs on a headless Linux box but the user's real signed-in Chrome lives on their Mac. |
Easiest path — run the built-in installer:
hermes plugins enable google_meet
hermes meet install # PM dependencies + Chromium (transcribe only)
hermes meet install --realtime # + pulseaudio-utils / brew blackhole+ffmpeg
hermes meet auth # optional; skips guest-lobby wait
hermes meet setup # preflight checks
hermes meet install --realtime prompts before running sudo apt-get (Linux)
or brew install (macOS). Pass --yes to skip the prompt. It will NOT touch
your macOS default-input setting — you have to select BlackHole 2ch in
System Settings yourself before starting a realtime meeting.
For manual realtime audio setup:
# Linux: sudo apt install pulseaudio-utils
# macOS: brew install blackhole-2ch ffmpeg
# → System Settings → Sound → Input → BlackHole 2ch
# Then set OPENAI_API_KEY or HERMES_MEET_REALTIME_KEY in ~/.hermes/.env
For a remote node:
# on the user's Mac (where Chrome is signed in):
hermes plugins enable google_meet
hermes meet install
hermes meet node run --display-name my-mac # persistent server
# copy the printed token
# on the gateway:
hermes meet node approve my-mac ws://<mac-ip>:18789 <token>
hermes meet node ping my-mac # confirm reachable
Run hermes meet setup to preflight local prereqs.
meet_join(url=..., mode=..., node=...). Returns immediately.meet_status() for liveness, meet_transcript(last=20) for recent captions. Don't re-read the whole transcript every turn.meet_say(text="...") queues text for TTS. The speech lags by ~2s. Don't spam it.meet_leave() when done, or set duration="30m" on meet_join for auto-leave.meet_transcript() in full, summarize, and use regular tools to send the recap, file issues, schedule followups.| Tool | Parameters | Use |
|---|---|---|
meet_join | url, mode?, guest_name?, duration?, headed?, node? | Start bot |
meet_status | node? | Liveness + progress |
meet_transcript | last?, node? | Read captions |
meet_leave | node? | Close bot |
meet_say | text, node? | Speak in realtime meeting |
node? on all tools: pass a registered node name (or "auto" for the sole node) to operate a remote bot instead of a local one. Omit for local.
hermes meet auth avoids this.HERMES_MEET_LOBBY_TIMEOUT env), the bot leaves and meet_status reports leaveReason: "lobby_timeout".meet_join leaves the first.meet_status().error.meet_say requires mode='realtime' on the originating meet_join. Calling it against a transcribe-mode meeting returns a clear error.response.cancel to OpenAI Realtime. Captions take ~500ms to show up, so the bot will talk over the first second or so of a human interruption.meet_status() returns (subset shown, there are more):
| Key | Meaning |
|---|---|
inCall | Past the lobby. False while waiting for admission. |
lobbyWaiting | Clicked "Ask to join", waiting on host. |
joinAttemptedAt / joinedAt | Timestamps for lobby-click and actual admission. |
captioning | Caption observer is installed. |
transcriptLines / lastCaptionAt | Transcript progress. |
realtime / realtimeReady | Realtime mode provisioned / WS connected. |
realtimeDevice | Audio device name the bot is feeding (e.g. hermes_meet_src). |
audioBytesOut / lastAudioOutAt | How much PCM the OpenAI session has produced. |
lastBargeInAt | Timestamp of the most recent response.cancel sent. |
leaveReason | duration_expired, lobby_timeout, denied, page_closed, or null. |
error | Last error (soft — bot may still be running). |
Local:
$HERMES_HOME/workspace/meetings/<meeting-id>/transcript.txt
Remote node: transcript lives on the node host's disk. Use meet_transcript(node=...) to read it over RPC.
https://meet.google.com/... URLs pass.$HERMES_HOME/workspace/meetings/node_token.json) and must be copied to the gateway via hermes meet node approve.meet_say text is rate-limited by the OpenAI Realtime session; spam-protection is the bot's problem, not yours, but still — don't queue hundreds of lines.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
1Passwordに保存したパスワードやAPIキーを、コマンド実行や設定テンプレートで使うためのスキル。CLIの導入、認証、秘密情報の取得・受け渡しを案内します。
損益計算書・貸借対照表・キャッシュフロー計算書を数式で連動させるExcelモデルを作ります。実績と予測の入力、前提を変えた比較、財務三表の整合性確認を段階的に進めます。
Run PyTorch training across GPUs with minimal changes.
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。
Set up Actual Computer (actual.inc) inference in Hermes.
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。
技術が苦手で不満を抱きやすい利用者になりきってアプリを試し、操作の分かりにくさや離脱の原因を発見。実際の改善課題と個人的な不満を分け、修正案をまとめます。
2つのエージェントが別々に加えた変更のGit競合を、双方の差分と意図から中立的に解決。競合箇所ごとの判断理由を記録し、ビルドやテストで統合結果を確認します。