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-attachmentsgit 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-attachments)<a href="https://agentmods.dev/skills/fatbobman/mail-mcp-bridge/analyze-attachments"><img src="https://agentmods.dev/badge/skills/fatbobman/mail-mcp-bridge/analyze-attachments/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-attachments"><img src="https://agentmods.dev/badge/skills/fatbobman/mail-mcp-bridge/analyze-attachments.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 | $0.02258 |
| Opus 5 | $0.00011 | $0.01129 |
| Sonnet 5 | $0.00004 | $0.00452 |
| Haiku 4.5 | $0.00002 | $0.00226 |
Grade A, and why
analyze-attachments 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 10d 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 — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Attachments
Comprehensive attachment analysis including extraction, importance classification, content analysis, and intelligent cleanup.
When to Use
Use this skill when you need to:
- Extract and view email attachments
- Analyze document content (PDFs, contracts, invoices)
- Identify important files and deadlines
- Understand attachment context in conversation
- Classify attachments by importance
Triggers:
English:
- "Analyze attachments in
<message-id>" - "Extract attachments from
<message-id>" - "What files are attached
<message-id>" - "Show me attachments
<message-id>" - "Analyze the files in this email
<message-id>"
Chinese:
- "分析附件
<message-id>" - "提取邮件附件
<message-id>" - "这封邮件有什么附件
<message-id>" - "查看附件内容
<message-id>" - "附件分析
<message-id>"
Invocation Methods
Method 1: Natural Language (Recommended)
User: Analyze attachments <[email protected]>
AI: [Proceeds to analyze immediately]
Method 2: Slash Command
User: /analyze-attachments
AI: 请提供邮件 Message-ID
User: <[email protected]>
AI: [Proceeds to analyze]
Note: Can analyze attachments from single emails or entire threads.
Operation Modes
1. Quick Mode (Default) ⚡
Token Usage: Minimal
- List all attachments (filename, type, size)
- Classify by importance
- Identify context
- ❌ Do NOT extract content
Use when: Just need to know what's attached
2. Interactive Mode 🔄
Token Usage: On-demand
- Show attachment list with importance
- Ask which to extract
- Extract only selected files
- Analyze content
Use when: Selective analysis needed
3. Auto Mode 🤖
Token Usage: Higher
- Auto-extract high-importance files
- Full content analysis
- Extract deadlines and action items
- Auto-cleanup temporary files
Use when:
- Email from important senders (HMRC, IRS, legal, finance)
- Subject keywords (invoice, contract, urgent, tax)
- User explicitly requests full analysis
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.
- 10d ago First seen · 385 lines · 22 tokens per session scan A e99a56ea0168
analyze-attachments 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 2,258 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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