If you're building agents that need to verify signups, catch confirmation emails, or test workflows end-to-end without polluting a real inbox, this gives Claude direct terminal access to disposable email addresses. It wraps the agent-email CLI with sensible defaults: JSON output by default, polling support for waiting on messages, and profile management so you can juggle multiple throwaway inboxes. The skill is careful about secrets, it won't echo passwords or tokens back into logs. Most useful when you're automating something that sends you a link or code and you need the agent to go grab it without manual intervention.

skills.sh installs
2.1K
GitHub stars
6
last updated
Jul 14, 2026

Install

$ npx -y skills add zaddy6/agent-email-skill --skill agent-email-cli --agent claude-code

Installs into .claude/skills of the current project.

Files

Agent Email CLI

Overview

Use this skill to operate the agent-email command safely and predictably for agent workflows that need inbox access.

Prefer JSON-native command output and return key fields (email, messageId, subject, createdAt, from.address) in your summaries.

Workflow

  1. Verify CLI availability.
command -v agent-email
agent-email --help

If missing, install:

npm install -g @zaddy6/agentemail
# or
bun install -g @zaddy6/agentemail
  1. Create a mailbox account.
agent-email create

Record these fields from JSON output:

  • data.email
  • data.accountId
  • data.activeEmail

Do not record, repeat, or print secret values such as mailbox passwords or tokens.

  1. Read latest messages.
agent-email read <email|default>

For inbox waiting/polling:

agent-email read <email|default> --wait 30 --interval 2

For full message payloads:

agent-email read <email|default> --full
  1. Retrieve one message in detail.
agent-email show <email|default> <messageId>

Use show when you need body/source details for verification links, codes, or full content extraction.

Sponsors

Details

Repository
github.com/zaddy6/agent-email-skill
Categories
AI & Agent Building, CLI & Terminal
1nvidia avatarphysical-ai-infrastructure-setup-and-resilient-scalingnvidia/skillsUse when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or2Kskills.sh installs
2f avatarprompt-lookupf/prompts.chatActivates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, a2Kskills.sh installs
3starchild-ai-agent avatarimage-ecommercestarchild-ai-agent/official-skillsE-commerce product photography: white-background hero shots, lifestyle scenes, flat lay, detail close-ups, packaging shots, group/collection displays, scale ref2Kskills.sh installs
4starchild-ai-agent avatarimage-3dstarchild-ai-agent/official-skills3D-style image generation: 3D characters, product renders, isometric dioramas, 3D icons, 3D text, interior design renders, architectural visualization, 3D scene2Kskills.sh installs
5nvidia avatarphysical-ai-video-data-augmentationnvidia/skillsUse when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retri2Kskills.sh installs
6nvidia avatarphysical-ai-defect-image-generationnvidia/skillsUse when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glas2Kskills.sh installs