Agent skill · Audited from source

Conversion Tracker

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: Set up affiliate conversion tracking with UTM parameters and link tagging. Triggers on: "set up tracking", "create UTM links", "track my affiliate links", "tracking pixels", "click attribution", "organize my links",…

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Cite this page

ModelsAtlas. “Conversion Tracker (Affitor/affiliate-skills)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/affitor/conversion-tracker

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/analytics/conversion-trackerThe 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: Set up affiliate conversion tracking with UTM parameters and link tagging. Triggers on: "set up tracking", "create UTM links", "track my affiliate links", "tracking pixels", "click attribution", "organize my links",…

---
name: conversion-tracker
description: >
  Set up affiliate conversion tracking with UTM parameters and link tagging. Triggers on:
  "set up tracking", "create UTM links", "track my affiliate links", "tracking pixels",
  "click attribution", "organize my links", "UTM parameters", "tag my links",
  "campaign tracking", "link tracking setup", "prepare for launch",
  "debug attribution", "tracking spreadsheet".
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing", "analytics", "optimization", "tracking", "conversion"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: affitor
  version: "1.0"
  stage: S6-Analytics
---

# Conversion Tracker

Set up affiliate conversion tracking — generate UTM-tagged links, create link naming conventions, configure tracking pixel setup instructions, and build a tracking spreadsheet. Output is a Markdown tracking guide with a table of tagged links ready to deploy.

## Stage

S6: Analytics — The difference between amateur and professional affiliates. You can't optimize what you don't measure. After deploying content (S5), you need UTM-tagged links for every platform and content piece to know exactly which channel drives conversions.

## When to Use

- User is about to launch a campaign and needs tracking links
- User wants UTM-tagged links for different platforms
- User says "set up tracking", "create UTM links", "organize my affiliate links"
- User wants to track which content drives the most clicks and conversions
- User is preparing to run ads and needs consistent link tagging
- Chaining from S1 (product selected) → generate tracking links before creating content in S2-S5

## Input Schema

```yaml
product:
  name: string                 # REQUIRED — product name (e.g., "HeyGen")
  affiliate_url: string        # REQUIRED — base affiliate link

platforms:                     # OPTIONAL — where content will be published
  - string                     # e.g., ["linkedin", "twitter", "blog", "email", "reddit"]
                               # Default: ["blog", "twitter", "linkedin"]

campaign_name: string          # OPTIONAL — campaign identifier (e.g., "q1-2026-ai-tools")
                               # Default: auto-generated from product name + date

tracking_tool: string          # OPTIONAL — "google_analytics" | "voluum" | "clickmagick"
                               # | "manual_utm". Default: "manual_utm"

content_types:                 # OPTIONAL — types of content being created
  - string                     # e.g., ["blog_review", "social_post", "email", "landing_page"]
```

**Chaining context**: If S1 was run, pull `recommended_program.affiliate_url` and `recommended_program.name`. If S2-S5 outputs exist, use them to determine platforms and content types automatically.

## Workflow

### Step 1: Gather Product and Platform Info

Collect product name, affiliate URL, and target platforms. If not provided, default to blog + twitter + linkedin (the three most common affiliate channels).

### Step 2: Generate UTM-Tagged Links

For each platform × content-type combination, create a UTM-tagged URL:
- `utm_source`: platform name (e.g., `linkedin`, `twitter`, `blog`)
- `utm_medium`: content type (e.g., `social`, `article`, `email`)
- `utm_campaign`: campaign name (e.g., `heygen-q1-2026`)
- `utm_content`: specific content identifier (e.g., `review-post`, `cta-button`, `bio-link`)

Append UTM parameters to the affiliate URL. Handle URLs that already have query parameters (use `&` not `?`).

### Step 3: Create Link Naming Convention

Establish a consistent naming scheme:
```
{product}-{platform}-{content_type}-{variant}
```
Example: `heygen-linkedin-review-v1`

### Step 4: Build Tracking Setup Guide

Based on `tracking_tool`:
- **Google Analytics**: Event tracking setup, goal configuration, UTM report location
- **Voluum / ClickMagick**: Postback URL setup, conversion pixel placement
- **Manual UTM**: Google Sheets tracking template with columns for link, platform, clicks, conversions

### Step 5: Output Tracking Sheet

Present all links in a structured table with:
- Link name
- Platform
- Content type
- Full tagged URL
- Notes

### Step 6: Self-Validation

Before presenting output, verify:

- [ ] UTM parameters correctly appended to all affiliate URLs
- [ ] No URL encoding errors in generated links
- [ ] Naming convention is consistent across all links
- [ ] All links are under URL length limits
- [ ] Setup guide steps match the recommended tracking tool

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
tracking:
  product: string
  campaign: string
  total_links: number

links:
  - name: string               # e.g., "heygen-linkedin-review-v1"
    platform: string
    content_type: string
    url: string                # full UTM-tagged URL
    utm_source: string
    utm_medium: string
    utm_campaign: string
    utm_content: string

naming_convention:
  pattern: string              # e.g., "{product}-{platform}-{type}-{variant}"
  examples: string[]

setup_guide:
  tool: string
  steps: string[]
```

## Output Format

1. **Tracking Links Table** — Markdown table with all tagged links
2. **Naming Convention** — pattern + examples for consistency
3. **Setup Guide** — step-by-step instructions for the chosen tracking tool
4. **Next Steps** — what to do with these links (plug into S2-S5 content)

## Error Handling

- **No affiliate URL provided**: "I'll create the UTM structure and naming convention now. Replace `[YOUR_AFFILIATE_LINK]` with your actual affiliate URL when you have it."
- **URL already has UTM parameters**: "Your affiliate URL already has UTM parameters. I'll append additional tracking parameters without overwriting the existing ones."
- **Too many platform × content combinations (>20)**: "That's a lot of li

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/conversion-tracker/badge.svg)](https://modelsatlas.com/skills/affitor/conversion-tracker/)

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

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/affitor/conversion-tracker/badge.svg)](https://modelsatlas.com/skills/affitor/conversion-tracker/)

Questions about Conversion Tracker

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