Agent skill · Audited from source

Email Automation Builder

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: Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set…

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Cite this page

ModelsAtlas. “Email Automation Builder (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/email-automation-builder

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/automation/email-automation-builderThe 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: Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set…

---
name: email-automation-builder
description: >
  Build multi-sequence email automation flows with branching logic. Triggers on:
  "build email automation", "create email funnel", "email automation flow",
  "welcome series with branches", "conditional email sequence", "set up automation",
  "email workflow builder", "segmented email flow", "advanced email sequence",
  "nurture funnel", "cart abandonment sequence", "win-back email flow".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "automation", "scaling", "workflow", "email"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S7-Automation
---

# Email Automation Builder

Build multi-sequence email automation flows with branching logic, segmentation, triggers, and tool-specific setup. More advanced than S5 email-drip-sequence: this skill creates conditional flows that respond to subscriber behavior (opened, clicked, purchased). Output includes ASCII flow diagrams, email content, and platform setup instructions.

## Stage

S7: Automation — S5's email-drip-sequence is a linear 7-email series. Real email marketing uses branching flows: if they opened → send X, if they didn't → send Y, if they clicked the affiliate link → move to a different sequence. This skill builds the automation system, not just the emails.

## When to Use

- User needs email flows with conditional logic (if/then branches)
- User wants welcome series, nurture flows, win-back campaigns, or cart abandonment
- User says "email automation", "branching email", "conditional sequence"
- User wants to set up flows in ConvertKit, Mailchimp, ActiveCampaign, or Beehiiv
- User already has an S5 drip sequence and wants to upgrade it to a full automation
- Chaining: upgrade S5 `email-drip-sequence` output to a branching automation

## Input Schema

```yaml
product:
  name: string                 # REQUIRED — product being promoted
  affiliate_url: string        # REQUIRED — affiliate link
  reward_value: string         # OPTIONAL — commission info (e.g., "30% recurring")

audience:
  description: string          # REQUIRED — who the subscribers are
  segments:                    # OPTIONAL — audience segments for branching
    - string                   # e.g., ["cold_leads", "warm_leads", "buyers"]

flow_type: string              # OPTIONAL — "welcome" | "nurture" | "winback"
                               # | "reengagement" | "cart_abandon"
                               # Default: "welcome"

email_tool: string             # OPTIONAL — "convertkit" | "mailchimp"
                               # | "activecampaign" | "beehiiv"
                               # Default: generic (works with any ESP)

num_emails: number             # OPTIONAL — total emails in the flow (5-12)
                               # Default: 7

lead_magnet: string            # OPTIONAL — what they opted in for
```

**Chaining context**: If S5 email-drip-sequence was run earlier, offer to upgrade it: "I see you have a 7-email drip sequence. Want me to upgrade it with branching logic and segments?"

## Workflow

### Step 1: Map Flow Type to Template

Select automation template based on `flow_type`:

**Welcome Flow**: Trigger → Welcome email → Wait 1 day → Value email → Branch (opened? → Soft sell / didn't open? → Re-engagement) → Continue selling to openers, re-engage non-openers

**Nurture Flow**: Trigger → Educational series → Branch (clicked affiliate link? → Move to sales sequence / didn't click? → Continue nurturing) → Post-purchase thank you for converters

**Win-back Flow**: Trigger (inactive 30+ days) → "We miss you" → Wait 3 days → Value reminder → Branch (re-engaged? → Move to nurture / still inactive? → Last chance) → Sunset after no response

### Step 2: Define Triggers and Entry Conditions

For each flow, specify:
- **Entry trigger**: What starts the flow (new subscriber, tag added, purchase, inactivity)
- **Exit conditions**: What removes someone (purchase, unsubscribe, entered different flow)
- **Branch conditions**: Opens, clicks, purchases, time-based

### Step 3: Design Branching Logic

Create decision points:
- After email N: Did they open? (Branch A: opened, Branch B: not opened)
- After email N: Did they click affiliate link? (Branch A: clicked, Branch B: didn't)
- After email N: Did they purchase? (Branch A: buyer → thank you, Branch B: non-buyer → continue)

### Step 4: Write Each Email

For each email in each branch, write:
- Subject line (40-60 chars)
- Preview text (80-100 chars)
- Body copy (200-400 words)
- CTA (single, clear)
- FTC disclosure (for emails with affiliate links)

### Step 5: Add Wait Times

Between emails:
- Welcome flow: 0, 1, 2, 3, 5, 7, 10 days
- Nurture flow: 2, 4, 7, 10, 14 days
- Win-back flow: 0, 3, 7, 14 days
- Adjust based on audience engagement patterns

### Step 6: Output Flow + Setup

Present:
- ASCII flow diagram showing the full automation
- Each email's content
- Tool-specific setup instructions (if email_tool specified)

### Step 7: Self-Validation

Before presenting output, verify:

- [ ] Every branch path leads to a valid next step (no dead ends)
- [ ] All emails are complete in each branch (subject, body, CTA)
- [ ] Wait times between emails sum correctly to total flow duration
- [ ] FTC disclosure present on all emails containing affiliate links
- [ ] Branch conditions are clear boolean logic (opened/clicked/didn't)

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

## Output Schema

```yaml
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
automation:
  flow_type: string
  product: string
  total_emails: number
  total_branches: number
  estimated_days: number       # total span of the flow

flow:
  - step: number
    type: string               # "email" | "wait" | "branch" | "exit"
    email:                     # present if type is "email"
 

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-automation-builder/badge.svg)](https://modelsatlas.com/skills/affitor/email-automation-builder/)

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

Ab Test Generator✓SAFE

Affitor/affiliate-skills

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★ 713Grade B
Affiliate Program Search✓SAFE

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★ 713Grade B
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Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/email-automation-builder/badge.svg)](https://modelsatlas.com/skills/affitor/email-automation-builder/)

Questions about Email Automation Builder

What does the Email Automation Builder 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 Automation Builder 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 Automation Builder access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Email Automation Builder 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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