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 AlexisMarasigan/coldoutboundskills --skill deliverability-test-publicgit clone --depth 1 https://github.com/AlexisMarasigan/coldoutboundskillsWrote 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/alexismarasigan/coldoutboundskills/deliverability-test-public)<a href="https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/deliverability-test-public"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/deliverability-test-public/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/alexismarasigan/coldoutboundskills/deliverability-test-public"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/deliverability-test-public.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 | $0.00072 | $0.01024 |
| Opus 5.5 | $0.00029 | $0.00410 |
| Sonnet 5.5 | $0.00014 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
deliverability-test-public 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.
This is a copy
100% identical to deliverability-test-public — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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_KEYin env- Optional:
--client-id=<id>for sub-clients - Optional:
--days=<N>lookback (default 7)
Steps
# 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.
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.
- 2mo ago First seen · 88 lines · 72 tokens per session scan A 020635adb484
deliverability-test-public is a skill published in the GitHub repository AlexisMarasigan/coldoutboundskills (5 stars, last pushed 6mo ago), licensed MIT. It adds 72 tokens to every session and 1,024 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to deliverability-test-public, differing in 0 lines, and is treated as a copy.
deliverability-test-public compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| deliverability-test-publicAlexisMarasigan/coldoutboundskills | Skill | 5 | 6mo ago | MIT | A | 72 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |