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Deliverability Test Public

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growthenginenowoslawski
deliverability-test-public

Compare reply rates, bounce rates, and positive reply rates broken down by inbox type (SMTP / Gmail / Outlook) for a Smartlead account. Use when you want to know "which inbox type delivers best" or when debugging unexplained deliverability differences across a mixed fleet. Operates via Smartlead API only (no database required).

Overview

Publishergrowthenginenowoslawski
Repositorycoldoutboundskills
Skill namedeliverability-test-public
Stars
757
Forks
267
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by growthenginenowoslawski on GitHub. Read the source before you install it.

Installation

Install the Deliverability Test Public AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/deliverability-test-public
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskills.git /tmp/coldoutboundskills
mkdir -p .claude/skills
cp -r /tmp/coldoutboundskills/skills/deliverability-test-public .claude/skills/deliverability-test-public
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deliverability Test Public in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deliverability Test Public on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deliverability Test Public is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Deliverability Test — Inbox Type Comparison

Compare reply rates, bounce rates, and positive reply rates broken down by inbox type (SMTP, Gmail / G Suite, Outlook / Office365) across your Smartlead account. Use it to answer "are my Gmail inboxes performing better than my SMTP ones?" or "why is one inbox type bouncing more than the others?"

Why this exists

Different inbox types have different deliverability characteristics:

  • Gmail / G Suite — highest trust, fewest bounces, often best reply rates
  • Office365 — good reputation, but stricter spam filtering
  • SMTP (Zapmail, Maildoso, Mailforge, custom) — varies wildly by provider, often has higher bounces in the first 30 days of domain life

If your campaigns mix inbox types, this skill shows which type is earning its keep.

What you need

  • SMARTLEAD_API_KEY in env
  • Optional: --client-id=<id> for sub-clients
  • Optional: --days=<N> lookback (default 7)

Steps

bash
# Full account, last 7 days
npx tsx scripts/inbox-type-compare.ts

# Specific sub-client, 14-day lookback
npx tsx scripts/inbox-type-compare.ts --client-id=5560 --days=14

# Just show today
npx tsx scripts/inbox-type-compare.ts --days=1

Output

Inbox Type Comparison — last 7 days

Type              Inboxes    Sent     Replies   Bounces    Reply %   Bounce %
---------------   ------   -------   -------   -------    -------   --------
G Suite               12    3,120       42        12        1.35%      0.38%
Office365             24    6,440       65        28        1.01%      0.43%
SMTP                  44   10,780       55        98        0.51%      0.91%
---------------   ------   -------   -------   -------    -------   --------
TOTAL                 80   20,340      162       138        0.80%      0.68%

Takeaways:
- G Suite has the highest reply rate (1.35%) and lowest bounce rate.
- SMTP reply rate is 60% lower than G Suite — investigate domain reputation.
- SMTP bounce rate is 2x average — run /email-deliverability-audit on SMTP domains.

How it works

  1. Pulls all email accounts via /email-accounts API paginated
  2. Groups by type field (GMAIL, OUTLOOK, SMTP, etc.)
  3. For each campaign that uses these inboxes, pulls per-inbox stats from /campaigns/{id}/analytics and /campaigns/{id}/sequence-analytics-by-email-account
  4. Aggregates sent/replies/bounces within each type group
  5. Prints formatted table

Common gotchas

  • Reply rate here is RAW, not positive. For positive reply rate (the more important metric), use /positive-reply-scoring.
  • Small inbox counts are noisy. If you only have 2 Gmail inboxes and 40 SMTP ones, the Gmail numbers aren't statistically meaningful.
  • Inbox type labels can be surprising. Some providers register as "SMTP" even when they're technically Gmail-proxied. Trust the label Smartlead gave them.

What to do next

If one inbox type is underperforming: /smartlead-inbox-manager to retire the bad ones (tag retired, disable warmup). If replacements are needed, /zapmail-domain-setup-public to provision new domains on a different provider type.

If all types are healthy: back to the weekly rhythm via /cold-email-weekly-rhythm.

Or wait: small sample sizes (<500 sends per type) are noisy. If your results are inconclusive, run again in 7 days with more data.

Related skills

  • /email-deliverability-audit — full audit (SPF/DKIM/DMARC + reputation + spam placement)
  • /positive-reply-scoring — the metric that matters, not just reply rate
  • /smartlead-inbox-manager — rotate out bad inboxes, tag by performance

Scripts

  • scripts/inbox-type-compare.ts — pulls + compares per-type rates

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Deliverability Test Public AI skill do?

Compare reply rates, bounce rates, and positive reply rates broken down by inbox type (SMTP / Gmail / Outlook) for a Smartlead account. Use when you want to know "which inbox type delivers best" or when debugging unexplained deliverability differences across a mixed fleet. Operates via Smartlead API only (no database required).

Why use Deliverability Test Public on TypingMind?

Because you install it once and use it with any model. Deliverability Test Public is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deliverability Test Public in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/deliverability-test-public. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Deliverability Test Public?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deliverability Test Public?

As many as you like. As long as a model supports skills, you can use Deliverability Test Public with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deliverability Test Public AI skill free?

Yes. It is published on GitHub by growthenginenowoslawski under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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