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 agentmods add skills/arbazkhan971/godmode/emailnpx skills add arbazkhan971/godmode --skill emailgit clone --depth 1 https://github.com/arbazkhan971/godmodeWrote 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/arbazkhan971/godmode/email)<a href="https://agentmods.dev/skills/arbazkhan971/godmode/email"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/email.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.01594 |
| Opus 5 | $0.00015 | $0.00797 |
| Sonnet 5 | $0.00006 | $0.00319 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
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 6d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email — Email & Notification Systems
Activate When
- User invokes
/godmode:email - User says "send emails", "email templates"
- User says "notification system", "push notifications"
- User says "bounce handling", "deliverability"
- Application needs email or notification infrastructure
Workflow
Step 1: Requirements Discovery
# Detect existing email infrastructure
grep -r "resend\|sendgrid\|aws-sdk.*ses\|postmark" \
package.json pyproject.toml go.mod 2>/dev/null
# Find existing templates
find . -path ./node_modules -prune -o \
-name "*.mjml" -o -name "*.email.tsx" \
-o -path "*/emails/*" 2>/dev/null | head -20
# Check for queue system
grep -r "bullmq\|bull\|sqs\|celery" \
package.json pyproject.toml 2>/dev/null
NOTIFICATION REQUIREMENTS:
Channels: Email | Push | SMS | In-app
Email types: Auth (critical) | Transactional (high)
| Product (medium) | Marketing (low)
Volume: Trans <N>/day, Marketing <N>/month
Compliance: CAN-SPAM, GDPR, CASL
IF no queue system: add one (never send sync)
IF no provider: recommend based on needs
IF no DNS auth: set up SPF/DKIM/DMARC
Step 2: Email Service Selection
| Feature | SendGrid | SES | Postmark | Resend |
|-------------|----------|--------|----------|--------|
| Best for | Full feat| Volume | Transact | Dev DX |
| Free tier | 100/day | 62K/mo | 100/mo | 3K/mo |
| Delivery | Good | Good | Excellent| Good |
| Templates | Yes | SES v2 | Yes | React |
IF startup/dev-focused: Resend (best DX)
IF high-volume transactional: Postmark
IF full marketing + transactional: SendGrid
IF AWS-native / cost-sensitive: SES
Step 3: Email Template Design
EMAIL DESIGN CHECKLIST:
Layout: single column, max 600px, large tap targets
Content: plain text version, alt text on images
Legal: visible unsubscribe, physical address
Technical: inline CSS, table layout (Outlook)
Deliverability: authenticated from-address,
List-Unsubscribe header, text:image > 60%
THRESHOLDS:
Max email size: 100KB (incl. HTML + inline CSS)
Image hosting: CDN only, no base64 in email
Preheader text: 40-130 characters
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.
- 6d ago First seen · 208 lines · 29 tokens per session scan A a6a5918d93dc
email is a skill published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 8d ago), licensed MIT. It adds 29 tokens to every session and 1,594 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.
Other skills, from other repositories
jobs-to-be-done
Discover what customers truly need by analyzing the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", "product-market fit", "switching behavior", "milkshake moment", or "functional vs emotional jobs". Also…
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
agent-code-generator
Generates Agent definitions (.md files) based on user intent and standard templates.
codex
Run benchmark-selected GPT-5.6 work through the Codex CLI.
scienceworld-growth-focuser
Use when you have planted a seed or need to track a plant's growth stage (sprouting, flowering, reproduction). Applies the 'focus on' action to a specific plant or biological entity to signal intent and monitor its development. Trigger after planting or when you need to observe life cycle progression in the…
iterate-pivot-decision
Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.