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 cold-email-4-sequencegit 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/cold-email-4-sequence)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/cold-email-4-sequence"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/cold-email-4-sequence/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/cold-email-4-sequence"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/cold-email-4-sequence.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 | $0.00075 | $0.00555 |
| Opus 5.5 | $0.00030 | $0.00222 |
| Sonnet 5.5 | $0.00015 | $0.00111 |
| Haiku 4.5 | $0.00007 | $0.00056 |
Grade A, and why
cold-email-4-sequence 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 1mo 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.
What it actually says
Cold Email 4-Sequence Framework
Standard 4-email sequence framework for cold outreach.
Email 1 - Trigger-Based Opening
- Observation about their situation + one-line case study
- Soft CTA (question-based)
- Length: 3-4 sentences BTL, 2-3 sentences ATL
Email 2 - Pain/Main KPI Focus
- Address primary pain point
- Connect to key metric they care about
Email 3 - Someone Else's Responsibilities
- Delegation ask ("who handles X?")
- Opens thread to correct person
Email 4 - Break-Up
- Timing question ("Is this not a priority right now?")
- Clean exit that leaves door open
Email Structure Checklist
Opening (trigger) + Assumption + Social proof with numbers + Open-ended question
- BTL emails: 3-4 sentences
- ATL emails: 2-3 sentences
Timing
- Email 2: Send 3 days after Email 1
- Email 3: Send 14 days later (new subject line)
- Email 4: Break-up if no response
Combines with
| Skill | Why |
|---|---|
personalization-hooks |
Add strong/lite hooks to Email 1 |
email-writing-frameworks |
Structure each email with proven frameworks |
email-1-variations-7 |
Get 7 variations for Email 1 |
cold-email-templates-34 |
Browse 34 templates for inspiration |
buying-signals-6 |
Choose the right trigger for Email 1 |
Example prompts
Write a 4-email sequence for SaaS companies targeting VP Sales, using job change as the trigger.
Create Email 1 and Email 4 for an agency selling to marketing directors at e-commerce companies.
Rewrite this email sequence to be more ATL-friendly (shorter, 2-3 sentences per email).
Part of Frontal — free, open GTM skills for your AI agent. Browse the library →
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.
- 1mo ago First seen · 82 lines · 75 tokens per session scan A 688f4370849e
cold-email-4-sequence is a skill published in the GitHub repository swan-gtm/gtm-skills (220 stars, last pushed 7d ago), licensed MIT. It adds 75 tokens to every session and 555 once invoked, about $0.0003 per session on Opus 5.5. 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.
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