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 sanky369/vibe-building-skills --skill email-sequencesgit clone --depth 1 https://github.com/sanky369/vibe-building-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/sanky369/vibe-building-skills/email-sequences)<a href="https://agentmods.dev/skills/sanky369/vibe-building-skills/email-sequences"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/email-sequences/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/sanky369/vibe-building-skills/email-sequences"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/email-sequences.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 | $0.00130 | $0.02163 |
| Opus 5.5 | $0.00052 | $0.00865 |
| Sonnet 5.5 | $0.00026 | $0.00433 |
| Haiku 4.5 | $0.00013 | $0.00216 |
Grade A, and why
email-sequences 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Sequences
Write automated email sequences — fixed sets of emails sent on a schedule after a trigger (signup, purchase, launch date) — that build trust before they ask for anything. Prime directive: every email must be worth opening on its own, and every email must move the sequence's single job forward. A sequence with one job (deliver, nurture, convert, or launch) outperforms one trying to do everything; an email that only exists to "stay in touch" gets cut.
When to use / when not to
- Use for any triggered/automated email series: welcome, nurture, conversion/sales, launch, or a custom variant of these.
- If the user wants a recurring broadcast written fresh each time, that's
skills/marketing/newsletter, not an automation. - If the user has no opt-in offer generating subscribers yet, run
skills/marketing/lead-magnetfirst — a welcome sequence needs something to deliver. - If the user needs one high-stakes standalone sales page or email,
skills/marketing/direct-response-copygoes deeper on a single asset.
Intake
Ask in one batch, only what's missing:
- Trigger and goal — what event starts the sequence, and what should the subscriber do/believe by the end?
- The offer (if any) — product, price point, main objections buyers raise.
- Audience temperature — cold strangers from an ad, warm lead-magnet subscribers, or existing customers? (This sets how early you can pitch.)
- Proof assets — testimonials, case studies, results, credentials available to use. Never invent these.
- Voice — sample emails or a brand-voice guide (use
skills/marketing/brand-voiceoutput if it exists).
Infer the sequence type from the trigger (Step 1 decision rule) rather than asking. If enough is known, state assumptions and draft — don't stall.
Workflow
1. Pick the sequence architecture
Decision rule — match on trigger:
| Trigger | Sequence | Emails / span | Job |
|---|---|---|---|
| New subscriber (lead magnet, signup) | Welcome | 5 over 7 days | Deliver promise, set expectations, earn trust, introduce offer softly |
| Subscriber finished welcome, no offer live | Nurture | rotating weekly pattern | Stay valuable and top-of-mind between campaigns |
| Existing offer, warm list | Conversion | 7 over 14 days | Persuade a considered purchase |
| Something new going live on a date | Launch | 7 over ~17 days | Build anticipation, then open and close the cart |
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 · 134 lines · 130 tokens per session scan A bca6a8484a36
email-sequences is a skill published in the GitHub repository sanky369/vibe-building-skills (31 stars, last pushed 3mo ago), licensed MIT. It adds 130 tokens to every session and 2,163 once invoked, about $0.0005 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.
email-sequences compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| email-sequencessanky369/vibe-building-skills | Skill | 31 | 3mo ago | MIT | A | 130 | Claude Code, Codex |
| ads-youtubeAgriciDaniel/claude-ads | Skill | 11k | 5d ago | MIT | A | 84 | Claude Code |
| ads-launchAgriciDaniel/claude-ads | Skill | 11k | 5d ago | MIT | A | 45 | Claude Code |
| happiness-skillkangarooking/cangjie-skill | Skill | 12k | 1mo ago | MIT | A | 136 | Claude Code, Codex |
| setup-matt-pocock-skillsdevcxl/mattpocock-skills-zh | Skill | 530 | 3d ago | MIT | A | 43 | Claude Code, Codex |
| aiwg-regenerate-copilotjmagly/aiwg | Skill | 229 | yesterday | MIT | A | 25 | Claude Code, Codex |
| steward-prep-deliveryjmagly/aiwg | Skill | 229 | yesterday | MIT | A | 32 | Claude Code, Codex |