conversion-tracking

A system for managing the setup used to measure actions from Google Ads campaigns, such as conversions after an ad click.

In plain words
What is it for?
It is for setting up and maintaining Google Ads conversion measurement infrastructure.
Why use it?
It helps organise Google Ads conversion measurement from setup through ongoing management, so campaign results can be tracked in one place.

Skill for Claude CodeCodex

Part of the googleadsagent plugin — 41 skills, 7 commands, 7 agents, 2 hooks, 2 MCP servers shipped together

Install

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.

agentmods
npx agentmods add skills/itallstartedwithaidea/claude-googleadsagent/conversion-tracking
Any agent
npx skills add itallstartedwithaidea/claude-googleadsagent --skill conversion-tracking
Clone the repo
git clone --depth 1 https://github.com/itallstartedwithaidea/claude-googleadsagent

Made for: Claude Code, Codex.

Or install googleadsagent, the plugin that ships this one along with the rest of its 41 skills, 7 commands, 7 agents, 2 hooks, 2 MCP servers.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,383 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.02383
Opus 5 $0.00010 $0.01192
Sonnet 5 $0.00004 $0.00477
Haiku 4.5 $0.00002 $0.00238

Measured 2d ago against content hash 6d000a946168, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

conversion-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 2d 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.

skills/conversion-tracking/SKILL.md · 257 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 2d ago First seen · 257 lines · 20 tokens per session scan A 6d000a946168

Subscribe to this mod's changes

conversion-tracking is a skill published in the GitHub repository itallstartedwithaidea/claude-googleadsagent (2 stars, last pushed 1mo ago), with no licence file. It adds 20 tokens to every session and 2,383 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

model-compatibility

Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models.

artokun/comfyui-mcp · 47 tokens

comfyui-node-registry

Authoring & publishing ComfyUI custom nodes to the Comfy Registry, covering node structure, pyproject.toml spec, comfy-cli publishing, and CI.

artokun/comfyui-mcp · 38 tokens

flux-txt2img

Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns.

artokun/comfyui-mcp · 44 tokens

performance-analysis

Measurement approaches, profiling patterns, bottleneck identification, and optimization guidance. Use when diagnosing performance issues, establishing baselines, identifying bottlenecks, or planning for scale. Always measure before optimizing.

rsmdt/the-startup · 42 tokens

budget-pacing

Month-to-date spend vs the monthly budget target, projected month-end landing, and pace alerts across all configured platforms. Use when the user asks about pacing, burn rate, whether they will overspend or underspend this month, monthly-budget tracking, landing/forecast, 'are we on budget', or requests 予算ペーシング / 着地予測…

logly/mureo · 129 tokens

learn

Save a marketing diagnosis insight to the pro-diagnosis knowledge base so it is applied in future operations across all platforms. Use when the user runs /learn, explicitly teaches the agent a marketing insight, corrects the agent's analysis, or asks to remember/record an operational learning for next time. Also use…

logly/mureo · 98 tokens