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 TrueClicks/claude-plugins --skill skill-105-ga4-advanced-audiencesgit clone --depth 1 https://github.com/TrueClicks/claude-pluginsWrote 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/trueclicks/claude-plugins/skill-105-ga4-advanced-audiences)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-105-ga4-advanced-audiences"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-105-ga4-advanced-audiences/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/trueclicks/claude-plugins/skill-105-ga4-advanced-audiences"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-105-ga4-advanced-audiences.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 | $0.00033 | $0.00566 |
| Opus 5.5 | $0.00013 | $0.00226 |
| Sonnet 5.5 | $0.00007 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
skill-105-ga4-advanced-audiences 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 21d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 105: GA4 Advanced Audience Creation
Purpose
Audit GA4 behavioral audiences synced to Google Ads. GA4 enables targeting depth impossible with Google Ads alone, with behavioral audiences converting 50-100% better than page-view lists.
Data Requirements
Data Source: Standard + Custom GAQL
Standard Data:
data/account/account_summary.md- GA4 linkage statusdata/account/campaigns/*/audience_targeting.md- Audience usage
Reference GAQL:
SELECT
user_list.name,
user_list.type,
user_list.size_for_display,
user_list.size_for_search
FROM user_list
WHERE user_list.type IN ('RULE_BASED', 'LOGICAL')
Use /google-ads:get-custom for audience inventory.
Note: Full GA4 audience audit requires GA4 property access.
Analysis Steps
- Verify GA4 Linkage: Check if GA4 property is linked with bidirectional sharing
- Inventory GA4 Audiences: Identify audiences originating from GA4
- Categorize Audience Types: Basic, engagement-based, behavior-based, predictive
- Identify Gaps: Missing high-value audiences (engaged users, pricing viewers)
Thresholds
| Condition | Severity |
|---|---|
| No GA4 linked to Google Ads | Critical |
| GA4 linked but no audiences imported | Warning |
| No engagement-based audiences | Warning |
| No pricing/demo page visitor audience | Warning |
| Predictive audiences not enabled (if eligible) | Info |
Output
Short (default):
## GA4 Audience Audit
**Account:** [name] | **GA4 Linked:** [Yes/No] | **GA4 Audiences:** [count] | **Issues:** [count]
### Critical
- **GA4 not linked** - Cannot import behavioral audiences
### Warnings
- **No engagement-based audiences** - Create 3+ sessions audience
- **No pricing page visitors** - High-intent segment missing
### Recommendations
1. Link GA4 with bidirectional data sharing
2. Create "High Engagement" audience (3+ sessions, 3+ min)
3. Create "Pricing Page Visitors" audience (14-day window)
Detailed adds:
- GA4 audience inventory table
- Recommended audiences by type (engagement, behavior, funnel stage)
- Predictive audience eligibility check
- Sequential/combined audience opportunities
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.
- 21d ago First seen · 75 lines · 33 tokens per session scan A ff662550d416
skill-105-ga4-advanced-audiences is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 33 tokens to every session and 566 once invoked, about $0.0001 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 2026-10-08.
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…