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 MoizIbnYousaf/marketing-cli --skill agent-email-inboxgit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/moizibnyousaf/marketing-cli/agent-email-inbox)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/agent-email-inbox"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/agent-email-inbox/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/moizibnyousaf/marketing-cli/agent-email-inbox"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/agent-email-inbox.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 | $0.00099 | $0.02112 |
| Opus 5 | $0.00049 | $0.01056 |
| Sonnet 5 | $0.00020 | $0.00422 |
| Haiku 4.5 | $0.00010 | $0.00211 |
Grade A, and why
agent-email-inbox 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agent Email Inbox
Set up a secure email inbox that lets an AI agent receive and respond to emails, with protection against prompt injection and email-based attacks.
Core principle: An AI agent's inbox is a potential attack vector. Malicious actors can email instructions that the agent might blindly follow. Security configuration is not optional — it's the first thing you implement, not the last.
This skill is context-independent — it does not use brand/ files and works identically in any project.
On Activation
- Ask the user which agent needs an email inbox and what framework they're using (Next.js, Express, etc.).
- Determine environment: local development or production deployment.
- Walk through domain setup (Resend-managed or custom).
- Set up webhook endpoint with signature verification.
- If local dev: configure tunneling.
- Implement security level — read references/security-levels.md and present options to the user.
- Connect webhook to agent processing.
Output: A configured webhook handler file, environment variable checklist, and security configuration.
Architecture
Sender → Email → Resend (MX) → Webhook → Your Server → AI Agent
↓
Security Validation
↓
Process or Reject
Before You Start: Account & API Key Setup
Ask the user:
- New account just for the agent? → Simpler setup, full account access is fine
- Existing account with other projects? → Use domain-scoped API keys to limit what the agent can access. Even if the key leaks, it can only send from one domain.
Don't paste API keys in chat! They'll persist in conversation history. Have the user write directly to
.envor use a secrets manager.
Domain Setup
Option 1: Resend-Managed Domain (Recommended for Getting Started)
Use your auto-generated address: <anything>@<your-id>.resend.app. No DNS configuration needed.
What ships with it
1 file 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.
- 10d ago First seen · 226 lines · 99 tokens per session scan A c3ad87b1df41
agent-email-inbox is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 23d ago), licensed MIT. It adds 99 tokens to every session and 2,112 once invoked, about $0.0005 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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