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.
git 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/commands/fatbobman/mail-mcp-bridge/analyze-email)<a href="https://agentmods.dev/commands/fatbobman/mail-mcp-bridge/analyze-email"><img src="https://agentmods.dev/badge/commands/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/commands/fatbobman/mail-mcp-bridge/analyze-email"><img src="https://agentmods.dev/badge/commands/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 | $0.00000 | $0.00156 |
| Opus 5 | $0.00000 | $0.00078 |
| Sonnet 5 | $0.00000 | $0.00031 |
| Haiku 4.5 | $0.00000 | $0.00016 |
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 9d 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.
What it actually says
Analyze Email
Quick analysis of a single email. Read metadata, summarize content, and list attachments.
Use when: You need to quickly understand what an email is about.
What it does:
- Shows sender, recipients, subject, date
- Summarizes email body
- Lists all attachments
- Detects if email is part of a thread
Example:
User: /analyze-email
AI: Please provide the email Message-ID
User: <[email protected]>
AI: [Displays email summary and attachment list]
Related commands:
/analyze-thread- For complete email thread analysis/analyze-attachments- For deep attachment 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.
- 9d ago First seen · 31 lines · 0 tokens per session scan A 6de585e7f1d7
analyze-email is a command published in the GitHub repository fatbobman/mail-mcp-bridge (19 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 156 tokens. 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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