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 swan-gtm/gtm-skills --skill email-metrics-benchmarksgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/email-metrics-benchmarks)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/email-metrics-benchmarks"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/email-metrics-benchmarks/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/swan-gtm/gtm-skills/email-metrics-benchmarks"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/email-metrics-benchmarks.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 | $0.00057 | $0.00940 |
| Opus 5 | $0.00028 | $0.00470 |
| Sonnet 5 | $0.00011 | $0.00188 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
email-metrics-benchmarks 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 13d 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.
Email Metrics & Benchmarks
Email Metrics to Track
2X Levers (Metrics you can realistically double)
| Metric | Current Baseline | Good | Great |
|---|---|---|---|
| Cold email reply rate | 0.5-1.0% | 2-3% | 5%+ |
| Email open rate | 20-40% | 50% | 60%+ |
| Email click rate | 2-5% | 5-8% | 10%+ |
Performance by Outreach Type
| Outreach Type | Reply Rate |
|---|---|
| Cold outreach (no signal) | 6-8% |
| Signal-based outreach | 18-22% |
| Multi-signal stacked | 35-40% |
| Website visitor follow-up | 25-30% |
| Champion job change | 20-25% |
Email Structure Checklist
Opening (trigger) + Assumption + Social proof with numbers + Open-ended question
By Seniority
| Target | Max Sentences | Max Words |
|---|---|---|
| BTL (Managers, ICs) | 3-4 sentences | 90 words |
| ATL (VPs, C-Level) | 2-3 sentences | 60 words |
Deliverability Benchmarks
| Metric | Target | Warning | Critical |
|---|---|---|---|
| Bounce rate | <2% | 2-5% | >5% |
| Spam rate | <0.1% | 0.1-0.3% | >0.3% |
| Unsubscribe rate | <0.5% | 0.5-1% | >1% |
Sequence Performance
Email 1
- Highest open rate
- Sets the tone
- Most important to optimize
Email 2 (Day 3)
- 40-60% of Email 1 opens
- Different angle
- Shorter than Email 1
Email 3 (Day 14)
- New subject line
- Fresh approach
- Delegation ask effective
Email 4 (Break-up)
- Often highest reply rate
- Creates urgency
- Clean exit
Optimization Priorities
If Open Rate Low (<30%)
- Test subject lines
- Check sender reputation
- Verify deliverability
- Test send times
If Reply Rate Low (<2%)
- Improve relevance/personalization
- Shorten message
- Strengthen CTA
- Add social proof
- Test different frameworks
If Meeting Rate Low (<20% of replies)
- Qualify better in message
- Improve CTA clarity
- Reduce friction to book
- Follow up faster
Quick Diagnostics
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.
- 13d ago First seen · 147 lines · 57 tokens per session scan A b2bc83a1789d
email-metrics-benchmarks is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 940 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 2026-08-30.
Other skills, from other repositories
leadership-change-outreach
End-to-end leadership change signal composite. Takes any set of companies, detects recent leadership changes (new VP+, C-suite hires and promotions), evaluates relevance to your product, and drafts personalized outreach. Uses Apollo People Search (free) for fast detection + Apollo Enrichment (1 credit/person) for…
news-signal-outreach
End-to-end news-triggered signal composite. Takes any piece of news — an article, LinkedIn post, tweet, announcement, event, trend, regulation, product launch, acquisition, layoff, expansion, or any other public event — and evaluates whether the companies or people mentioned are ICP fits. If yes, identifies the…
champion-move-outreach
End-to-end champion/buyer/user job change signal composite. Takes a set of known people (past buyers, champions, power users), detects when they move to a new company, researches the new company for ICP fit, and drafts personalized outreach leveraging the existing relationship. Tool-agnostic — works with any people…
linkedin-outreach
End-to-end LinkedIn outreach campaign builder. Takes leads from Supabase, upstream skills, or CSV. Aligns on campaign goal and tone, writes personalized LinkedIn message sequences (connection request + follow-ups + optional InMail), presents for review, and exports for the user's outreach tool (Dripify, Botdog…
funding-signal-outreach
End-to-end funding signal composite. Takes any set of companies, detects recent funding events, qualifies against your company context, finds relevant people (buyers, champions, users), and drafts personalized outreach. Tool-agnostic — works with any company source, contact finder, and outreach platform.
hiring-signal-outreach
End-to-end hiring signal composite. Takes any set of companies, detects job postings that your product augments or replaces, finds relevant people (the hiring manager, buyers, champions, users), and drafts personalized outreach using the job role as the hook. Tool-agnostic — works with any company source, job board…