Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add chanktb/claude-google-ads/plugin install claude-google-adsWrote 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/chanktb/claude-google-ads/tracker)<a href="https://agentmods.dev/skills/chanktb/claude-google-ads/tracker"><img src="https://agentmods.dev/badge/skills/chanktb/claude-google-ads/tracker.svg" alt="Measured on agentmods" 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 | $0.00104 | $0.00836 |
| Opus 5 | $0.00052 | $0.00418 |
| Sonnet 5 | $0.00021 | $0.00167 |
| Haiku 4.5 | $0.00010 | $0.00084 |
Grade A, and why
google-ads-tracker 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 7d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads — Tracker (observe only)
Watch live campaigns and surface what's happening. Changes nothing in the account — that's the
optimizer's job. Especially useful right after a pusher launch (the learning window).
Operating rules
- Observe-only: report and alert, never mutate. Read everything from
account-context.yaml. - Honor guardrails: a
change-event-cooldownmeans don't raise an anomaly right after a deliberate change. - No false absence (GUARD-6 from audit): prove completeness before reporting "no delivery / no conversions".
Model dispatch (run cheap, decide expensive) — see ${CLAUDE_PLUGIN_ROOT}/references/model-tier-dispatch.md
- Scout (
haiku) — STEP 0 context read; identifying newly-launched vs established by start date. - Routine (
sonnet) — STEP 1 per-campaign performance +change_eventpull. Dispatch as ageneral-purposesub-agent; return raw rows + the daily trend, don't flag. - Judge (main session) — STEP 2-4 learning-phase read, pacing call, and especially anomaly-vs-expected (apply the cooldown — a recent deliberate change is NOT an anomaly). The pull is cheap; deciding what's normal variance vs a real alert is judgment.
STEP 0 — Load
Read account-context.yaml (customer_id, guardrails, margin_tiers for ROAS context). If it's missing,
run setup first — never observe on an unconfigured/half-connected account. Identify which
campaigns are newly launched (recent change_event / start date) vs established.
STEP 1 — Pull recent performance
Per campaign over the relevant window (explicit YYYY-MM-DD dates): spend, conversions, conv value, ROAS,
CPC, CPA, impression share, and the daily trend. Pull recent change_event history too.
STEP 2 — Learning-phase status (new campaigns)
- Is the campaign accumulating conversions toward the learning floor (~15-30/period)? Project days-to-exit.
- Flag campaigns stuck below the floor (will never stabilize at current budget → note for
optimizerto consolidate, but tracker only flags). - During learning, do NOT read short-term ROAS swings as problems — say so explicitly.
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.
- 7d ago First seen · 59 lines · 104 tokens per session scan A 033196ed344b
google-ads-tracker is a skill published in the GitHub repository chanktb/claude-google-ads (11 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 836 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
google-ads
A Google Ads guide for campaigns and advertising copy aimed at the Russian market in 2026. Google Ads is Google's paid advertising platform, and the guide covers formats such as search, video, app, shopping, and display ads.
markifact-overview
Reference — what Markifact is, what the MCP server exposes, and the discover→inspect→run pattern. Always loaded into the performance-marketer agent.
safe-write-operations
Reference — rules for safely executing write/destructive operations against ad accounts. Always loaded into the performance-marketer agent.
google-ads-ecommerce
Build and optimize Google Ads campaigns for ecommerce with Performance Max, Shopping feeds, conversion tracking, and Smart Bidding strategies for ROAS.
setup-conversion-tracking
Set up Converly conversion tracking end to end. Use when the user wants to track form submissions as conversions, send leads to an ad platform like Google Ads, Meta or Google Analytics, or set up Converly for the first time.
diagnose-missing-conversions
Find out why Converly conversions aren't showing up. Use when the user says tracking isn't working, conversions are missing, a form submission didn't appear, or an ad platform isn't receiving conversions.