Agent skill · Audited from source

Email Drip Sequence

skill · Affitor/affiliate-skillsMIT licenceAudited 15 Oct 2026 · source 2515ce9634da

★ 713pushed 2 days agoversion 1.0
✓SAFEGrade B · 89/100 · 15 Oct 2026 · 2515ce9
713repo stars · whole Affitor/affiliate-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 2515ce9634da and found no filesystem, network or shell access and no hard-coded secrets. What it does: Write an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding…

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Cite this page

ModelsAtlas. “Email Drip Sequence (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/email-drip-sequence

Trust audit

Audit 0.4.1 · source read 15 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 2515ce9634da · 15 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherAffitor GitHub organizationOwner of the repository this skill is read from
  • Source folderAffitor/affiliate-skills/skills/distribution/email-drip-sequenceThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict2515ce9634daA new audit runs when the source changes
  • Repository statusNot archivedLast push 2 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Write an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding…

---
name: email-drip-sequence
description: >
  Write an email drip sequence for affiliate marketing. Triggers on:
  "write me an email sequence", "create a drip campaign", "email nurture sequence",
  "affiliate email funnel", "welcome email series", "email onboarding sequence",
  "write emails for my list", "set up a drip sequence", "email campaign for [product]",
  "nurture my subscribers", "email follow-up sequence", "build my email funnel",
  "write 5 emails promoting [product]", "email automation sequence".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "distribution", "deployment", "email-marketing", "email", "drip-campaign"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S5-Distribution
---

# Email Drip Sequence

Write a 5-7 email drip sequence that nurtures new subscribers from cold to warm to buyer. Follows the Welcome → Value → Value → Soft Sell → Hard Sell → Objection Handling → Follow-Up pattern. Each email includes subject line, preview text, body copy, and a single clear CTA.

## Stage

S5: Distribution — Email is the highest-ROI channel for affiliate marketers (avg $42 return per $1 spent). This skill turns a list of subscribers into a predictable revenue stream by delivering value first and selling second.

## When to Use

- User has an email list and wants to promote an affiliate product
- User just launched a lead magnet or opt-in form and needs a welcome sequence
- User wants to automate affiliate promotions via email automation (ConvertKit, Mailchimp, Beehiiv, ActiveCampaign, etc.)
- User says anything like "email sequence", "drip campaign", "email funnel", "nurture series"
- User wants a sequence for a specific product or niche
- Chaining from S1 (research) — user found a product and now wants an email sequence for it

## Input Schema

```yaml
product:
  name: string              # REQUIRED — product name (e.g., "HeyGen")
  affiliate_url: string     # REQUIRED — the affiliate link to promote
  category: string          # OPTIONAL — product category (e.g., "AI video tool")
  reward_value: string      # OPTIONAL — commission amount/percentage (e.g., "30% recurring")
  key_benefits: string[]    # OPTIONAL — top 3 benefits. Auto-researched if not provided.
  price: string             # OPTIONAL — product pricing (e.g., "$29/mo")

audience:
  description: string       # REQUIRED — who are the subscribers? (e.g., "content creators", "SaaS founders")
  pain_point: string        # OPTIONAL — main problem they want solved
  awareness_level: string   # OPTIONAL — "cold" | "warm" | "hot". Default: "cold"

sequence:
  length: number            # OPTIONAL — number of emails: 5, 6, or 7. Default: 7
  send_days: number[]       # OPTIONAL — days to send (e.g., [0, 1, 3, 5, 7, 10, 14])
                            # Default: [0, 1, 3, 5, 7, 10, 14]
  sender_name: string       # OPTIONAL — from name (e.g., "Alex from ContentPro")
  tone: string              # OPTIONAL — "conversational" | "professional" | "bold"
                            # Default: "conversational"
  lead_magnet: string       # OPTIONAL — what they opted in for (e.g., "AI tools checklist")
```

**Chaining context**: If S1 (product research) was run earlier in the conversation, pull `product.name`, `product.affiliate_url`, `product.key_benefits`, and `product.reward_value` automatically. Do not ask the user to repeat information already provided.

## Workflow

### Step 1: Gather Information

Collect required inputs. If `product.name` and `product.affiliate_url` are present (from user or S1 chain), proceed. Otherwise ask:
- "What product are you promoting and what's your affiliate link?"
- "Who are your subscribers? (e.g., freelancers, SaaS founders, content creators)"

If `product.key_benefits` is not provided, infer 3 benefits from the product name and category using your training knowledge. State: "Based on what I know about [product], I'm using these key benefits: [list]. Correct me if needed."

### Step 2: Plan the Sequence

Map each email to its purpose using the 7-email arc. For a 5-email sequence, drop emails 6 and 7. For a 6-email sequence, drop email 7.

| # | Day | Type | Purpose |
|---|-----|------|---------|
| 1 | 0 | Welcome | Deliver lead magnet, set expectations, build trust |
| 2 | 1 | Value | Teach something useful (no sell) |
| 3 | 3 | Value + Soft Mention | More value, casual mention of the product |
| 4 | 5 | Soft Sell | Introduce the product properly, benefits focus |
| 5 | 7 | Hard Sell | Clear CTA, urgency (limited offer / deadline if available) |
| 6 | 10 | Objection Handling | Answer top 3 objections, social proof |
| 7 | 14 | Follow-Up / Last Chance | "Did you see this?" re-engagement email |

### Step 3: Write Each Email

For each email, write all four components:

**Subject Line**: 40-60 characters. Use curiosity, specificity, or direct benefit. Avoid spam trigger words (free, guaranteed, act now).

**Preview Text**: 80-100 characters. Extends the subject line, adds context or intrigue. Shown in inbox preview.

**Body Copy**:
- Email 1-2: 200-300 words. Focus on value, zero sell pressure.
- Email 3-4: 250-350 words. Introduce product naturally in context.
- Email 5: 300-400 words. Strong pitch, benefits listed, clear CTA button.
- Email 6: 250-300 words. Story-driven or testimonial-anchored.
- Email 7: 150-200 words. Short, punchy re-engagement.

**Formatting rules**:
- Short paragraphs (2-3 sentences max)
- One idea per paragraph
- Conversational opener (use "you", avoid "Dear [Name]")
- Single CTA per email (one link, one action)
- Sign off with sender name + brief sign-off line

**CTA structure**:
- Email 1: CTA = download/access lead magnet (not affiliate link)
- Email 2: CTA = read an article or reply to email (engagement)
- Email 3: CTA = soft mention "check it out" with affiliate link
- Email 4-7: CTA = affiliate link with action verb ("Try [Product] Free", "Get [X]% Off", 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 2515ce9

Download folder ↗
git clone https://github.com/Affitor/affiliate-skills
git -C affiliate-skills checkout 2515ce9634da

The author documents no install command, so this uses the repository directly. Our verdict covers commit 2515ce9634da only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
CursorMentioned in its text, not testedSkills for Cursor · About Cursor
Gemini CLIMentioned in its text, not testedSkills for Gemini CLI · About Gemini CLI
OpenClawMentioned in its text, not testedSkills for OpenClaw · About OpenClaw
WindsurfMentioned in its text, not testedSkills for Windsurf · About Windsurf
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 2515ce9634da

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/email-drip-sequence/badge.svg)](https://modelsatlas.com/skills/affitor/email-drip-sequence/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

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Add this badge to your README

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Questions about Email Drip Sequence

What does the Email Drip Sequence skill do?
50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
Is Email Drip Sequence safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Email Drip Sequence access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Email Drip Sequence work with?
Its documentation mentions claude-code, cursor, gemini-cli, openclaw and windsurf. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (2515ce9634da), read on 2026-10-15. The repository is watched, and a new audit runs when it changes — this is the first audit.

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