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 thatrebeccarae/claude-marketing --skill utm-attribution-strategygit clone --depth 1 https://github.com/thatrebeccarae/claude-marketingWrote 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/thatrebeccarae/claude-marketing/utm-attribution-strategy)<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/utm-attribution-strategy"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/utm-attribution-strategy/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/thatrebeccarae/claude-marketing/utm-attribution-strategy"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/utm-attribution-strategy.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 | $0.00066 | $0.01829 |
| Opus 5 | $0.00033 | $0.00915 |
| Sonnet 5 | $0.00013 | $0.00366 |
| Haiku 4.5 | $0.00007 | $0.00183 |
Grade A, and why
utm-attribution-strategy 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 9d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UTM & Attribution Strategy
Campaign tracking with UTM parameters and marketing attribution modeling.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/utm-attribution-strategy ~/.claude/skills/
UTM Parameter Reference
The 5 Standard UTM Parameters
| Parameter | Purpose | Required | Example |
|---|---|---|---|
utm_source |
Where traffic comes from | Yes | google, linkedin, newsletter |
utm_medium |
Marketing medium/channel | Yes | cpc, email, social, referral |
utm_campaign |
Campaign name | Yes | spring-sale, product-launch-q1 |
utm_term |
Paid keyword (search ads) | No | email+marketing+software |
utm_content |
Differentiate ad variants | No | cta-button, sidebar-banner, video-ad |
UTM Naming Convention
Rules:
- All lowercase (Google Analytics is case-sensitive)
- Use hyphens (
-) as word separators, never spaces or underscores - Be descriptive but concise
- Use consistent vocabulary across all teams
- Document your taxonomy and enforce it
Recommended Taxonomy
utm_source
| Value | When to Use |
|---|---|
google |
Google Ads, Google organic |
facebook |
Meta/Facebook ads and organic |
instagram |
Instagram ads and organic |
linkedin |
LinkedIn ads and organic |
tiktok |
TikTok ads |
twitter |
Twitter/X |
youtube |
YouTube ads and organic |
bing |
Microsoft/Bing ads |
newsletter |
Your email newsletter |
email |
Transactional or one-off emails |
partner-[name] |
Partner/affiliate traffic |
podcast-[name] |
Podcast mentions |
utm_medium
| Value | When to Use |
|---|---|
cpc |
Paid search (cost per click) |
paid-social |
Paid social media |
social |
Organic social media |
email |
Email marketing |
referral |
Partner/affiliate referrals |
display |
Display/banner ads |
video |
Video ads (pre-roll, in-stream) |
retargeting |
Retargeting/remarketing |
influencer |
Influencer partnerships |
organic |
Organic search (usually auto-tagged) |
direct |
Direct traffic (usually auto-tagged) |
What ships with it
3 files 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.
- 9d ago First seen · 186 lines · 66 tokens per session scan A 7c582ce934a9
utm-attribution-strategy is a skill published in the GitHub repository thatrebeccarae/claude-marketing (137 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 1,829 once invoked, about $0.0003 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 2026-09-03.
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