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 mailtrap/mailtrap-skills --skill converting-email-templatesgit clone --depth 1 https://github.com/mailtrap/mailtrap-skillsWrote 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/mailtrap/mailtrap-skills/converting-email-templates)<a href="https://agentmods.dev/skills/mailtrap/mailtrap-skills/converting-email-templates"><img src="https://agentmods.dev/badge/skills/mailtrap/mailtrap-skills/converting-email-templates/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/mailtrap/mailtrap-skills/converting-email-templates"><img src="https://agentmods.dev/badge/skills/mailtrap/mailtrap-skills/converting-email-templates.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 | $0.00057 | $0.01621 |
| Opus 5 | $0.00028 | $0.00811 |
| Sonnet 5 | $0.00011 | $0.00324 |
| Haiku 4.5 | $0.00006 | $0.00162 |
Grade A, and why
converting-email-templates 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Converting email templates
Purpose
Automatically convert email templates from other email service providers into Mailtrap-compatible Handlebars syntax. Handles both deterministic pattern conversions (via a Python script) and complex edge cases (via LLM intelligence).
Related skills: using-email-templates (Handlebars syntax, API template send), sending-emails (stream bases and auth), authorizing-api-requests (tokens, env vars, account_id resolution — needed when creating templates or sending via the Templates API after conversion).
Input
- Source provider (required):
sendgrid,mailgun,mandrill-handlebars,mandrill-mergetags,postmark,brevo, orses - Input: a single template file path, a directory of
.htmltemplate files, or raw HTML pasted inline - Output directory (optional): defaults to a
/converted/subdirectory next to the input
If the user does not specify the source provider, ask before proceeding. If the user provides template HTML inline (pasted in chat), save it to a temporary .html file first.
Workflow
Step 1: Detect mode
Fast mode (default): For providers with deterministic conversion patterns. The Python script handles these reliably.
Deep mode: Triggered when:
- Provider is
brevoAND the template contains nested loops, multiple filters, or complex conditional nesting - The script flags patterns that could benefit from LLM judgment
- The user explicitly requests deep mode
- Inline HTML is provided (run LLM conversion directly)
Step 2: Run the converter script
Execute the Python converter script:
python3 {skill_dir}/scripts/converter.py \
--provider {provider} \
--input {input_path} \
--output {output_dir}
Where {skill_dir} is the directory containing this SKILL.md file.
Read the output:
- Exit code 0: clean conversion, no flags. Proceed to Step 4.
- Exit code 1: conversion completed with flags. Proceed to Step 3.
- Exit code 2: error. Report to user and stop.
What ships with it
12 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.
- content/how-to-migrate-email-templates.md 17 KB
- references/conversion-rules.md 10 KB
- scripts/converter.py 24 KB runs code
- tests/expected/brevo-test.html 805 B
- tests/expected/mandrill-mergetags-test.html 541 B
- tests/expected/postmark-test.html 291 B
- tests/expected/sendgrid-test.html 959 B
- tests/input/brevo-test.html 456 B
- tests/input/mandrill-mergetags-test.html 281 B
- tests/input/postmark-test.html 280 B
- tests/input/sendgrid-test.html 378 B
- tests/output/.gitkeep 0 B
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 · 147 lines · 57 tokens per session scan A e279422605e9
converting-email-templates is a skill published in the GitHub repository mailtrap/mailtrap-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 1,621 once invoked, about $0.0003 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 2026-08-31.
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