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 ariadoss/superskills --skill trackinggit clone --depth 1 https://github.com/ariadoss/superskillsWrote 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/ariadoss/superskills/tracking)<a href="https://agentmods.dev/skills/ariadoss/superskills/tracking"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/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/ariadoss/superskills/tracking"><img src="https://agentmods.dev/badge/skills/ariadoss/superskills/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 | $0.00057 | $0.01344 |
| Opus 5.5 | $0.00023 | $0.00538 |
| Sonnet 5.5 | $0.00011 | $0.00269 |
| Haiku 4.5 | $0.00006 | $0.00134 |
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 1mo 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.
This is a copy
100% identical to analytics-tracking — 154 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics: Tracking
Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
User ID
- Purpose: Cross-device, cross-session user identification
- Implementation: Set
user_idwhen user is identified (e.g., login); send to GA4 - Benefit: Accurate attribution across sessions; better audience building
CTA Attribution (Article ROI)
Track CTA clicks on key articles to measure content ROI:
| Action | Purpose |
|---|---|
| Event per CTA | e.g., cta_click with content_url, content_type |
| Conversion | Mark as conversion in GA4 for attribution |
| Use | Compare high vs low performers; optimize CTA placement and copy |
See seo-monitoring for article database and benchmark context.
Infrastructure Requirements
| Component | Purpose |
|---|---|
| Data warehouse | Centralized data; BI reporting |
| Event tracking | User behavior; funnel mapping |
| Attribution | Ad pixels; attribution model; impression-to-sale tracking |
Optimization flow: Clean UTM + conversion events → attribution reports → optimize channel mix.
Scope
- GA4: Web data stream, gtag.js, configuration
- User ID: Cross-device, cross-session identification
- CTA attribution: Per-article conversion tracking for content ROI
- Events: Recommended and custom events
- Conversions: Key events, parameters
- Quality: Naming, testing, validation
GA4 Setup
Prerequisites
- Google Analytics property and web data stream
- Google tag (gtag.js) on all pages
- Measurement ID (e.g.,
G-XXXXXXXXXX)
Enhanced Measurement
Enable in Admin > Data Streams > Enhanced Measurement for automatic tracking of:
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.
- 1mo ago Changed · -35 tokens per session 80e7f422d0dd
- 1mo ago First seen · 156 lines · 92 tokens per session scan A 90fdfd28af7d
analytics-tracking is a skill published in the GitHub repository ariadoss/superskills (12 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,344 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to analytics-tracking, differing in 154 lines, and is treated as a copy.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…