Skill: lausser/python-agentmail-send-receive (version 1.0.0)

--- name: python-agentmail-send-receive description: python files which are used to send an email and to download received emails from an inbox. The email provider is agentmail.to, which offers an API. This way of email handling is very AI-agent friendly. homepage: https://github.com/lausser/python-agentmail-send-receive --- # Skill: Email via agentmail You can send and receive email as `[REDACTED_SECRET]` using two Python scripts. The scripts live in this skill folder and are deployed to `~/.openclaw/workspace/agentmail/`. The scripts contain placeholders which need to be replaced with real-life value: * REPLACE_WITH_IDENTITY * REPLACE_WITH_THE_HUMANS_EMAIL_ADDRESS ## 1. Setup ### Deploy the skill Copy the scripts and create the venv in the workspace: ```bash DEST=~/.openclaw/workspace/agentmail SKILL_DIR="$(dirname "$(readlink -f "$0")")" # if running from a script # or just point SKILL_DIR to this skill folder mkdir -p "$DEST" cp "$SKILL_DIR/check_mail.py" "$SKILL_DIR/send_email.py" "$DEST/" cd "$DEST" # Create venv (prefer uv, fall back to python) if command -v uv &>/dev/null; then uv venv venv uv pip install --python venv/bin/python agentmail python-dotenv else python3 -m venv venv venv/bin/pip install agentmail python-dotenv fi ``` ### Create the `.env` file ```bash cat > ~/.openclaw/workspace/agentmail/.env << 'EOF' AGENTMAIL_API_KEY=am_us_..... EOF ``` This is only necessary if you don't have the environment variable in your running environment or if you can't read it from your openclaw.json config file. ### Verify ```bash cd ~/.openclaw/workspace/agentmail source venv/bin/activate python check_mail.py # should print "No new mail." on a fresh inbox ``` ## 2. Receiving Email ### Run ```bash cd ~/.openclaw/workspace/agentmail source venv/bin/activate python check_mail.py ``` This downloads all unread messages as JSON files into the workspace directory and marks them as read. Running it again only fetches new mail. ### Output files Each message is saved as `MAIL.<YYYYMMDDTHHmmss>.<NNN>` — timestamp from the message, 3-digit sequence number within the batch. Example: `MAIL.20260226T134244.001` The JSON inside contains: ```json { "message_id": "<...>", "thread_id": "...", "timestamp": "2026-02-26 13:42:44+00:00", "from": "Sender Name <[REDACTED_SECRET]>", "to": ["[REDACTED_SECRET]"], "cc": null, "subject": "Re: Hello", "text": "Plain-text body...", "html": "<p>HTML body...</p>", "labels": ["received", "unread"], "in_reply_to": "<original-message-id>", "attachments": [] } ``` ### Reading downloaded mail ```bash # List all mail files (oldest first) ls -1 MAIL.* 2>/dev/null | sort # Read one cat MAIL.20260226T134244.001 # Extract just the text body python -c "import json,sys; print(json.load(open(sys.argv[1]))['text'])" MAIL.20260226T134244.001 ``` ### Exit codes | Code | Meaning | |------|---------| | 0 | Success (mail downloaded or inbox empty) | | 1 | Missing API key | | 2 | API error on initial listing | | 3 | Total failure (all messages errored) | ## 3. Sending Email ### Run ```bash cd ~/.openclaw/workspace/agentmail source venv/bin/activate python send_email.py ``` `send_email.py` is a template with hardcoded recipient/subject/body. For real use, modify its parameters or write a one-off script using the same pattern: ```python import os from dotenv import load_dotenv from agentmail import AgentMail load_dotenv() client = AgentMail([REDACTED_SECRET]"AGENTMAIL_API_KEY")) client.inboxes.messages.send( inbox_id="[REDACTED_SECRET]", to="[REDACTED_SECRET]", subject="Subject line", text="Plain-text body.", ) ``` ### send() parameters | Parameter | Required | Description | |-----------|----------|-------------| | `inbox_id` | yes | Always `"[REDACTED_SECRET]"` | | `to` | yes | Recipient email address | | `subject` | no | Subject line | | `text` | no | Plain-text body | | `html` | no | HTML body | | `cc` | no | CC addresses | | `bcc` | no | BCC addresses | ## 4. Replying to a Message To reply in the same thread, use `reply()` with the `message_id` from a downloaded `MAIL.*` file: ```python import json, os from dotenv import load_dotenv from agentmail import AgentMail load_dotenv() client = AgentMail([REDACTED_SECRET]"AGENTMAIL_API_KEY")) # Load the message you want to reply to with open("MAIL.20260226T134244.001") as f: msg = json.load(f) client.inboxes.messages.reply( inbox_id="[REDACTED_SECRET]", message_id=msg["message_id"], text="This is my reply.", ) ``` This preserves threading — the reply appears in the same conversation as the original. ## 5. Typical Workflow 1. **Check mail**: `python check_mail.py` 2. **Read**: inspect the `MAIL.*` files that were created 3. **Process**: act on the content of each message 4. **Reply** if needed: use the `reply()` pattern from section 4 5. **Clean up**: `rm MAIL.*` when done processing 6. **Repeat**: run `check_mail.py` again later for new messages


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)