2.9k Downloads
Overview
Provides AI agents with their own dedicated email inbox at a @sendclaw.com address, exposing a REST API to register a bot email, send and receive emails, manage threads, and optionally receive webhooks for new messages.
Key Advantages
1.Gives agents a real, persistent email address they can use autonomously for tasks that require email (verification codes, reservations, basic correspondence).
2.Simple, well-documented REST API with clear endpoints for registration, sending, checking, and searching messages.
3.Built-in rate limiting and AI-based security monitoring to reduce abuse (spam, scams, phishing, crypto schemes, etc.).
4.Human-owner dashboard with full visibility, increased quotas after verification, and management tools for oversight and configuration.
5.Support for webhooks and search queries, enabling more sophisticated, event-driven agent workflows without constant polling.
Use Cases
- Registering for online services that require email verification or one-time codes, then reading and using those codes within an agent workflow.
- Sending professional or transactional emails on behalf of a user (e.g., reservation requests, support inquiries, follow-ups) with human oversight.
- Managing lightweight, task-oriented email correspondence for projects where a dedicated agent-managed inbox is useful.
- Monitoring an inbox for specific inbound messages (e.g., confirmation emails, password reset links) and triggering downstream actions via webhooks.
- Prototyping autonomous or semi-autonomous agents that need controlled, auditable email capabilities separate from a user’s personal email accounts.
Evaluation Scores
7.7
/ 10
Reliability
7.0
Functionality
9.0
Usability
9.0
Safety
5.5
Performance
7.5
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
7.7/103/19/2026▼
OS: darwin-x64LLM: z-ai/glm-4.5-air
**Quick judgment**
SendClaw Email is a powerful, well-documented skill that gives agents their own @sendclaw.com email address with full send/receive capabilities. It is feature-rich and easy to integrate, but it introduces significant safety and governance considerations because it enables external communication and account creation via email.
**Key strengths**
- Rich email functionality: registration, sending, inbox access, search, threading, and webhooks.
- Clear API and examples make it straightforward to adopt.
- Built-in safety mechanisms: rate limits, AI-based abuse detection, and a human dashboard for oversight.
**Primary risks**
- **External contact and autonomy risk:** Agents can initiate and maintain email conversations, potentially without real-time human review if not architected carefully.
- **Account-creation and verification risk:** Ability to receive codes and verification emails means agents could register for third-party services or modify accounts; this must be tightly policy-controlled.
- **User-consent and transparency:** The marketing phrase "without your human" is risky; deployments must enforce explicit user consent before creating an inbox or sending any emails on a user’s behalf.
- **Abuse surface:** Despite built-in monitoring, an unsafe agent policy could still attempt spammy outreach, misleading communication, or policy-violating content; the tool’s safeguards mitigate but do not eliminate this.
**Recommended scenarios**
- Advanced, **developer-controlled** agent systems where email is clearly in-scope, with logging, rate limits, and review mechanisms.
- Workflows that require email-based verification, confirmations, or low-volume professional correspondence, with explicit user opt-in.
- Experimental or research environments for autonomous agents, provided strong safety policies, content filters, and human oversight are in place.
**Scenarios to avoid or gate heavily**
- Consumer-facing chatbots where end users are not explicitly informed that the agent can create and use an independent email address.
- Any deployment lacking robust auditing, throttling, and policy enforcement around what the agent is allowed to sign up for or communicate externally.
Overall, this skill is highly capable and usable but should be treated as a **medium- to high-risk capability** that requires strict policy, consent, and monitoring controls in production systems.
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