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 Infinite-Labs-AI/infinite-skills --skill email-sequencegit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-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/infinite-labs-ai/infinite-skills/email-sequence)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/email-sequence"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/email-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/infinite-labs-ai/infinite-skills/email-sequence"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/email-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 | $0.00039 | $0.00412 |
| Opus 5 | $0.00019 | $0.00206 |
| Sonnet 5 | $0.00008 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
email-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 11d 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
Email Sequence
Plan lifecycle emails around what the customer has done, what they need next, and when they should stop receiving the flow.
Map The State
Identify:
- Entry trigger.
- Recipient state and awareness.
- Product or offer relationship.
- Desired next action.
- What the user needs to believe or do first.
- Available personalization.
- Exit conditions.
- Compliance and deliverability constraints.
Do not write a sequence until the flow logic is clear.
Plan The Flow
For each message, define:
- State: why they receive it now.
- Blocker: what prevents progress.
- Job: what it helps them understand or do.
- Proof or payload.
- CTA.
- Next observable behavior.
- Suppression or exit rule.
- Success signal.
Common arcs:
- Welcome: orient, prove fit, guide first action.
- Trial activation: remove setup friction, show quick win, invite human help.
- Nurture: teach problem, show alternatives, present offer.
- Post-purchase: confirm, help use, reduce regret, expand.
- Winback: acknowledge silence, offer relevant reason to return, suppress if uninterested.
Write Messages
Keep copy specific to the state. Avoid generic appreciation, fake urgency, and repeating the same CTA in five costumes.
Every message needs one primary action. Secondary links are allowed only when they support the same job.
Output
Lifecycle flow:
Trigger:
Audience state:
Goal:
Exit conditions:
State transition map:
| Msg | Timing | Current state | Blocker | Message job | Next behavior | Exit/suppression |
Email draft:
Message [N]
Subject:
Preview:
Body:
CTA:
Setup notes:
- Segments:
- Personalization:
- Tests:
- Compliance checks:
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.
- 11d ago First seen · 77 lines · 39 tokens per session scan A 0ab2cac0b53c
email-sequence is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 12d ago), licensed MIT. It adds 39 tokens to every session and 412 once invoked, about $0.0002 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.
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