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 agentmail-to/agentmail-plugins --skill agent-email-patternsgit clone --depth 1 https://github.com/agentmail-to/agentmail-pluginsWrote 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/agentmail-to/agentmail-plugins/agent-email-patterns)<a href="https://agentmods.dev/skills/agentmail-to/agentmail-plugins/agent-email-patterns"><img src="https://agentmods.dev/badge/skills/agentmail-to/agentmail-plugins/agent-email-patterns/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/agentmail-to/agentmail-plugins/agent-email-patterns"><img src="https://agentmods.dev/badge/skills/agentmail-to/agentmail-plugins/agent-email-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00125 | $0.01603 |
| Opus 5.5 | $0.00050 | $0.00641 |
| Sonnet 5.5 | $0.00025 | $0.00321 |
| Haiku 4.5 | $0.00013 | $0.00160 |
Grade A, and why
agent-email-patterns 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 2mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Email Patterns
Opinionated patterns for building AI agents that communicate over email. This skill covers architecture and security decisions, not SDK specifics. For AgentMail SDK usage, use the agentmail skill.
Why agents need their own inboxes
Giving an agent OAuth access to a human's Gmail account is the most common approach and the most dangerous:
- Over-permissioned: typical OAuth scopes (e.g.
gmail.modify) grant read/send/delete over the entire mailbox history, far beyond what any single task needs - Prompt injection risk: the agent inherits the full inbox history as reachable context, so any crafted email already sitting in the mailbox is a live attack surface
- Revocation granularity: OAuth tokens are hard to revoke or scope per-agent -- pulling access from one workflow often means pulling it from all of them
- Rate limits: consumer mailbox sending limits aren't designed for automated/programmatic workflows
- Audit trail: agent actions are mixed with human actions in the same mailbox, making debugging and compliance review hard
The safer default: one dedicated, API-native inbox per agent (see Pattern 1).
Provider landscape
Durable architectural constraints when choosing infrastructure (not a ranking):
| Provider | Key constraint |
|---|---|
| Gmail API | No programmatic inbox creation; no WebSocket push (Pub/Sub or polling only); access is revocable by Google at any time |
| Resend | No threads or conversation concept; cannot list/search received messages; inbound only via webhook, no persistent inbox |
| SendGrid | Inbound parse is stateless; no thread management; no programmatic inbox creation |
| Amazon SES | Inbound is rule-based (S3/Lambda triggers), not a mailbox; no thread management; no WebSocket support |
Pattern 1: one inbox per agent
Every agent gets its own email address. Never share inboxes between agents.
client.inboxes.create(request=CreateInboxRequest(username="support-agent", client_id="support-v1"))
What ships with it
3 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.
- 2mo ago First seen · 121 lines · 125 tokens per session scan A 2c2953053392
agent-email-patterns is a skill published in the GitHub repository agentmail-to/agentmail-plugins (36 stars, last pushed 11d ago), licensed MIT. It adds 125 tokens to every session and 1,603 once invoked, about $0.0005 per session on Opus 5.5. 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.
agent-email-patterns compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-email-patternsagentmail-to/agentmail-plugins | Skill | 36 | 11d ago | MIT | A | 125 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |
| fastapi-router-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 46 | Claude Code |
| dev-runtimelangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 252 | yesterday | MIT | A | 106 | Claude Code |