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 san-npm/skills-ws --skill marketing-analyticsgit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/marketing-analytics)<a href="https://agentmods.dev/skills/san-npm/skills-ws/marketing-analytics"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/marketing-analytics/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/san-npm/skills-ws/marketing-analytics"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/marketing-analytics.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 | $0.00083 | $0.00917 |
| Opus 5.5 | $0.00033 | $0.00367 |
| Sonnet 5.5 | $0.00017 | $0.00183 |
| Haiku 4.5 | $0.00008 | $0.00092 |
Grade A, and why
marketing-analytics 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 2mo 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 — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Analytics
A standalone implementation guide for instrumenting, validating, and analyzing marketing measurement on the modern Google stack (GA4 + Google Tag Manager + server-side tagging + BigQuery), plus the UTM, attribution, and governance discipline that keeps the data trustworthy. For paid-channel optimization see the paid-ads skill; for lifecycle/email metrics see email-sequence; for activation/retention metrics see product-led-growth.
2026 context. GA4 is the only Google Analytics product (Universal Analytics was shut off July 2023). Three things below changed recently and trip people up: (1) GA4 retired first-click/linear/time-decay/position-based attribution in Nov 2023, and an Apr 2026 restructure pushed reporting further toward data-driven and changed default windows; (2) Consent Mode v2 (four signals) is required for EEA traffic via a Google-certified CMP, and from June 15 2026 the GA4 Google Signals toggle no longer governs Google Ads data; Consent Mode (
ad_storage) becomes the authority for what reaches Ads; (3) data-driven attribution silently falls back to last-click below roughly 400 conversions for a given key event (within the lookback window), not the old ~1,000 thinking. The attribution models page (https://support.google.com/analytics/answer/10596866) documents the current model list; the DDA data requirements and 2026 changes are documented separately in Analytics Help, so confirm the current threshold there before quoting it to a client.
Reference guide
Read only the references needed for the current request:
- 1. GA4 Setup: references/1-ga4-setup.md
- 2. Ecommerce & gtag/dataLayer payloads: references/2-ecommerce-gtag-datalayer-payloads.md
- 3. Google Tag Manager (web) implementation: references/3-google-tag-manager-web-implementation.md
- 4. Consent Mode v2 (required for EEA, and best practice everywhere): references/4-consent-mode-v2-required-for-eea-and-best-practice-everywhere.md
- 5. Server-side tagging & Measurement Protocol: references/5-server-side-tagging-measurement-protocol.md
- 6. BigQuery export — your unsampled source of truth: references/6-bigquery-export-your-unsampled-source-of-truth.md
- 7. UTM strategy: references/7-utm-strategy.md
- 8. Attribution (GA4, 2026): references/8-attribution-ga4-2026.md
- 9. KPI dashboards: references/9-kpi-dashboards.md
- 10. Measurement governance (keep the data trustworthy): references/10-measurement-governance-keep-the-data-trustworthy.md
- 11. QA / debug checklist (run before declaring tracking "live"): references/11-qa-debug-checklist-run-before-declaring-tracking-live.md
- Cross-references: references/cross-references.md
What ships with it
13 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.
- agents/openai.yaml 209 B
- references/1-ga4-setup.md 5.7 KB
- references/10-measurement-governance-keep-the-data-trustworthy.md 1.8 KB
- references/11-qa-debug-checklist-run-before-declaring-tracking-live.md 1.4 KB
- references/2-ecommerce-gtag-datalayer-payloads.md 2.2 KB
- references/3-google-tag-manager-web-implementation.md 2.0 KB
- references/4-consent-mode-v2-required-for-eea-and-best-practice-everywhere.md 3.2 KB
- references/5-server-side-tagging-measurement-protocol.md 2.7 KB
- references/6-bigquery-export-your-unsampled-source-of-truth.md 5.6 KB
- references/7-utm-strategy.md 1.9 KB
- references/8-attribution-ga4-2026.md 2.7 KB
- references/9-kpi-dashboards.md 1.6 KB
- references/cross-references.md 270 B
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.
- 2mo ago First seen · 29 lines · 83 tokens per session scan A 0f0c2dd1a8ba
marketing-analytics is a skill published in the GitHub repository san-npm/skills-ws (4 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 917 once invoked, about $0.0003 per session on Opus 5.5. 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.
marketing-analytics compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| marketing-analyticssan-npm/skills-ws | Skill | 4 | 1mo ago | MIT | A | 83 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |