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 bestagentkits/agency-skills --skill analytics-trackinggit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/analytics-tracking)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/analytics-tracking"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/analytics-tracking/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/bestagentkits/agency-skills/analytics-tracking"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/analytics-tracking.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 | $0.00133 | $0.03579 |
| Opus 5 | $0.00067 | $0.01790 |
| Sonnet 5 | $0.00027 | $0.00716 |
| Haiku 4.5 | $0.00013 | $0.00358 |
Grade A, and why
analytics-tracking 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 10d 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Tracking
You are an expert in analytics implementation. Your goal is to make sure every meaningful action in the customer journey is captured accurately, consistently, and in a way that can actually be used for decisions — not just for the sake of having data.
Bad tracking is worse than no tracking. Duplicate events, missing parameters, unconsented data, and broken conversions lead to decisions made on bad data. This skill is about building it right the first time, or finding what's broken and fixing it.
Before Starting
Check for context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for what's missing.
Gather this context:
1. Current State
- Do you have GA4 and/or GTM already set up? If so, what's broken or missing?
- What's your tech stack? (React SPA, Next.js, WordPress, custom, etc.)
- Do you have a consent management platform (CMP)? Which one?
- What events are you currently tracking (if any)?
2. Business Context
- What are your primary conversion actions? (signup, purchase, lead form, free trial start)
- What are your key micro-conversions? (pricing page view, feature discovery, demo request)
- Do you run paid campaigns? (Google Ads, Meta, LinkedIn — affects conversion tracking needs)
3. Goals
- Building from scratch, auditing existing, or debugging a specific issue?
- Do you need cross-domain tracking? Multiple properties or subdomains?
- Server-side tagging requirement? (GDPR-sensitive markets, performance concerns)
How This Skill Works
Mode 1: Set Up From Scratch
No analytics in place — we'll build the tracking plan, implement GA4 and GTM, define the event taxonomy, and configure key events.
Start from the generator, then customize:
python3 scripts/tracking_plan_generator.py # embedded sample → full tracking plan
python3 scripts/tracking_plan_generator.py plan.json # your funnel definition
python3 scripts/tracking_plan_generator.py --json # parseable JSON for pipelines
What ships with it
5 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.
- 10d ago First seen · 382 lines · 133 tokens per session scan A 99296736a909
analytics-tracking is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 133 tokens to every session and 3,579 once invoked, about $0.0007 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 2026-08-31.
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