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 fatbobman/mail-mcp-bridge --skill analyze-emailgit clone --depth 1 https://github.com/fatbobman/mail-mcp-bridgeWrote 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/fatbobman/mail-mcp-bridge/analyze-email)<a href="https://agentmods.dev/skills/fatbobman/mail-mcp-bridge/analyze-email"><img src="https://agentmods.dev/badge/skills/fatbobman/mail-mcp-bridge/analyze-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/fatbobman/mail-mcp-bridge/analyze-email"><img src="https://agentmods.dev/badge/skills/fatbobman/mail-mcp-bridge/analyze-email.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00022 | $0.01102 |
| Opus 5 | $0.00011 | $0.00551 |
| Sonnet 5 | $0.00004 | $0.00220 |
| Haiku 4.5 | $0.00002 | $0.00110 |
Grade A, and why
analyze-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 11d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Email
Quick analysis of a single email. Read metadata, summarize content, and list attachments without extracting them.
When to Use
Use this skill when you need to:
- Quickly understand what an email is about
- Get email metadata (sender, subject, date)
- See what attachments are included
- Decide if deeper analysis is needed
Triggers:
English:
- "Analyze this email
<message-id>" - "What's in this email
<message-id>" - "Read this email
<message-id>" - "Show me this email
<message-id>"
Chinese:
- "分析这封邮件
<message-id>" - "这封邮件说什么
<message-id>" - "看看这封邮件
<message-id>" - "查看邮件内容
<message-id>"
Invocation Methods
Method 1: Natural Language (Recommended)
User: Analyze this email <[email protected]>
AI: [Proceeds to analyze immediately]
Method 2: Slash Command
User: /analyze-email
AI: 请提供要分析的邮件 Message-ID
User: <[email protected]>
AI: [Proceeds to analyze]
Note: When invoked via slash command without parameters, ALWAYS ask for message-id first.
Execution Steps
-
Get message-id (if not provided)
Please provide the email Message-ID to analyze 💡 Quick method (recommended): In Mail.app: Select email → Press shortcut (⌘⇧C) → Message-ID copied See README "Setup Mail Quick Action" section if not configured -
Read email using MCP
email_data = mcp__mail__read_email(message_id) -
Extract key information
- Sender (from)
- Recipients (to, cc)
- Subject
- Date
- Body text summary (first 500 chars)
- Attachments list (filename, type, size)
-
Present structured output
Output Format
📧 Email Analysis
### Basic Information
- From: [sender email and name]
- To: [recipients]
- CC: [cc recipients if any]
- Subject: [subject line]
- Date: [sent date]
### Content Summary
[First 500 characters of email body, or full text if short]
### 📎 Attachments
[Count] attachment(s):
1. [filename] ([type]) - [size]
2. ...
### 💡 Quick Assessment
- Is this a thread?: Yes/No
- Action required?: Yes/No
- Importance level: High/Medium/Low
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.
- 11d ago First seen · 175 lines · 22 tokens per session scan A 13dc4ef19e74
analyze-email is a skill published in the GitHub repository fatbobman/mail-mcp-bridge (19 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 1,102 once invoked, about $0.0001 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.
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