LobsterAI is an open-source desktop AI agent that operates files, commands, browsers, documents, spreadsheets, slides, messaging channels, and scheduled jobs in a user's working environment. It supports office work, research, and custom multi-agent workflows, while catalogue add-ons extend the agent with additional skills and workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add netease-youdao/LobsterAI --skill imap-smtp-emailgit clone --depth 1 https://github.com/netease-youdao/LobsterAIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/netease-youdao/lobsterai/imap-smtp-email)<a href="https://agentmods.dev/skills/netease-youdao/lobsterai/imap-smtp-email"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/imap-smtp-email/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/netease-youdao/lobsterai/imap-smtp-email"><img src="https://agentmods.dev/badge/skills/netease-youdao/lobsterai/imap-smtp-email.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 14 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 24 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.02725 |
| Opus 5 | $0.00041 | $0.01362 |
| Sonnet 5 | $0.00016 | $0.00545 |
| Haiku 4.5 | $0.00008 | $0.00272 |
Grade A, and why
imap-smtp-email scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IMAP/SMTP Email Tool
Read, search, and manage email via IMAP protocol. Send email via SMTP. Supports Gmail, Outlook, 163.com, vip.163.com, 126.com, vip.126.com, 188.com, vip.188.com, and any standard IMAP/SMTP server.
Important: Configuration is Pre-configured
The accounts.json configuration file is automatically managed by LobsterAI Settings (邮箱设置). Legacy .env configuration is still supported as a fallback for older users. Do NOT ask the user to create or edit these files — just run the commands directly. If credentials are wrong, the scripts will return a clear error message; only then should you inform the user to check their email settings.
The configuration files are located in this skill's directory (same folder as this SKILL.md file). The scripts load them automatically via absolute paths, regardless of the current working directory.
Use the provided scripts as the only email transport interface. Do not write temporary IMAP/SMTP scripts, do not use raw sockets, OpenSSL, net, tls, or alternate mail clients, and do not inspect .env, accounts.json, or script source unless the official command output explicitly reports missing configuration and the user asks you to diagnose it. If an official command fails or times out, report that command result and suggest checking LobsterAI Settings; do not implement a fallback protocol client.
Do not claim that node-imap, nodemailer, or another dependency is broken unless an official script or verified stack trace proves it. A successful command means the configured email account works; a timeout means the current command timed out, not that the dependency is defective.
Command results intentionally redact account metadata. In user-facing replies, use the redacted account label/email from the JSON result and do not repeat full configured email addresses unless the user explicitly asks for the exact address. Email content fields such as sender, subject, and message body may still be shown when they are the requested result.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 250 lines · 82 tokens per session scan A c4ce850b6da8
imap-smtp-email is a skill published in the GitHub repository netease-youdao/LobsterAI (6,012 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 2,725 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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ha-settings
Manage Hope Agent application settings through conversation. Use when the user wants to view or change any app configuration: theme, language, enhanced focus indicators, proxy, temperature, notifications, tool timeout, context compaction, automatic session titles, web search, GitHub issue reporting, memory, embedding…
cron-mastery
Master OpenClaw's timing systems. Use for scheduling reliable reminders, setting up periodic maintenance (janitor jobs), and understanding when to use Cron vs Heartbeat for time-sensitive tasks.
smart-messenger
Send rich messages to Feishu chats including text, images, cards, and scheduled messages. Use when the user asks to send a message, share an image, create a card/report, schedule a notification, or manage message templates. Integrates with screenshot-sender and vision-reader for multimedia messaging.
system-control
Control and monitor macOS system functions. Use when the user asks about system info (CPU, memory, disk, battery), app management (launch/quit apps, window list), notifications, clipboard operations, volume/brightness control, or any OS-level task on macOS.