agent-email-cli▌
zaddy6/agent-email-skill · updated Apr 8, 2026
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Terminal-based disposable email inbox management for agent automation workflows.
- ›Create temporary mailboxes, poll for new messages with configurable wait/interval, and retrieve full message details including body and source
- ›JSON-native output with key fields ( email , messageId , subject , from.address , createdAt ) designed for agent parsing and summarization
- ›Manage multiple mailbox profiles locally with accounts list , use , and remove commands; supports default alias for simplifie
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
- Verify CLI availability.
command -v agent-email
agent-email --help
If missing, install:
npm install -g @zaddy6/agentemail
# or
bun install -g @zaddy6/agentemail
- Create a mailbox account.
agent-email create
Record these fields from JSON output:
data.emaildata.accountIddata.activeEmail
Do not record, repeat, or print secret values such as mailbox passwords or tokens.
- 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
- 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.
- Manage mailbox profiles.
agent-email accounts list
agent-email use <email|default>
agent-email accounts remove <email>
Avoid commands that require entering secrets on the command line in agent logs.
- Delete processed/irrelevant message when requested.
agent-email delete <email|default> <messageId>
Operational Guidance
- Keep command output machine-readable; avoid forcing human output unless requested.
- Prefer
defaultalias when user does not specify an email. - Never echo, store, or summarize secret values (
password,token) from command output. - If command fails, surface the JSON error
codeandhintfields directly. - For auth failures (
AUTH_REQUIRED/401), rerun command once and request user intervention if credentials must be re-established. - For rate limits (
RATE_LIMITED/429), retry after short delay.
Troubleshooting
command not found: ensure~/.bun/binor npm global bin path is onPATH.NO_ACTIVE_ACCOUNT: runagent-email createoragent-email use <email>.ACCOUNT_NOT_FOUND: runagent-email accounts listand pick a valid address.EOTPduring npm publish: use npm trusted publishing for CI or publish locally with OTP.
References
- For command cheat sheet and JSON field map, read references/commands.md.
How to use agent-email-cli on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add agent-email-cli
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches agent-email-cli from GitHub repository zaddy6/agent-email-skill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate agent-email-cli. Access the skill through slash commands (e.g., /agent-email-cli) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★61 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Keeps context tight: agent-email-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noah Desai· Dec 20, 2024
agent-email-cli is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ishan Anderson· Dec 16, 2024
Useful defaults in agent-email-cli — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Omar Agarwal· Dec 16, 2024
Registry listing for agent-email-cli matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noah Ghosh· Dec 16, 2024
agent-email-cli reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Useful defaults in agent-email-cli — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Zaid Liu· Dec 8, 2024
Keeps context tight: agent-email-cli is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hiroshi Jackson· Dec 4, 2024
I recommend agent-email-cli for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ishan Mehta· Nov 27, 2024
Registry listing for agent-email-cli matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yash Thakker· Nov 19, 2024
Registry listing for agent-email-cli matched our evaluation — installs cleanly and behaves as described in the markdown.
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