Borrowing it
Nothing to install: this file belongs to romek-rozen/google-ads-generator-with-ai-assistants. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/romek-rozen/google-ads-generator-with-ai-assistants/master/CLAUDE.mdgit clone --depth 1 https://github.com/romek-rozen/google-ads-generator-with-ai-assistantsWrote 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/instructions/romek-rozen/google-ads-generator-with-ai-assistants/claude-md)<a href="https://agentmods.dev/instructions/romek-rozen/google-ads-generator-with-ai-assistants/claude-md"><img src="https://agentmods.dev/badge/instructions/romek-rozen/google-ads-generator-with-ai-assistants/claude-md/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/instructions/romek-rozen/google-ads-generator-with-ai-assistants/claude-md"><img src="https://agentmods.dev/badge/instructions/romek-rozen/google-ads-generator-with-ai-assistants/claude-md.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 | $0.01814 | $0.01814 |
| Opus 5 | $0.00907 | $0.00907 |
| Sonnet 5 | $0.00363 | $0.00363 |
| Haiku 4.5 | $0.00181 | $0.00181 |
Grade A, and why
google-ads-generator-with-ai-assistants CLAUDE.md 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 12d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Repository Overview
Python-based Google Ads text ad generator and validator system with automated workflows for creating compliant ads.
Supported campaign types:
- RSA (Responsive Search Ads) - standard text ads
- PMAX (Performance Max) - AI-powered multi-channel campaigns
Commands
Virtual Environment Activation
source venv/bin/activate
Core Workflows
RSA (Responsive Search Ads)
1. Validate RSA:
python3 scripts/validate_google_ads.py [input_file]
# Default: tmp/ads.json
# Creates: [filename]_validated.json and [filename]_corrected.json
# Exit code: 0 on success, 1 on validation errors
2. Generate RSA Report:
python3 scripts/generate_ads_txt.py [validated_file] [-o output.txt] [-d output_dir] [-y]
# Default input: tmp/ads_validated.json
# Default output: ads/ads.txt
# -y flag: bypass validation warnings and force generation
PMAX (Performance Max)
1. Validate PMAX:
python3 scripts/validate_pmax.py [input_file]
# Default: tmp/pmax.json
# Creates: [filename]_validated.json and [filename]_corrected.json
# Special checks: min 1 headline ≤15 chars, long_headlines validation
# Exit code: 0 on success, 1 on validation errors
2. Generate PMAX Report:
python3 scripts/generate_pmax_txt.py [validated_file] [-o output.txt] [-d output_dir] [-y]
# Default input: tmp/pmax_validated.json
# Default output: ads/pmax.txt
Shared Tools
3. Fetch Website Content:
# Prune mode (default) - removes nav/footer/ads, keeps all content
python3 scripts/fetch_website.py <url>
python3 scripts/fetch_website.py <url> "keyword" # keyword in filename
# BM25 mode - filters by keyword relevance (less content, more focused)
python3 scripts/fetch_website.py <url> "keyword" --mode bm25
# Output: tasks/domain.json or tasks/domain:keyword.json
4. Check Text Length:
python3 scripts/check_length.py "text1" "text2" ...
# Output: "text" - character_count (for each text)
# Supports: multiple texts, stdin input, special characters
# Use before validation or when fixing texts that exceeded limits
# Example: python3 scripts/check_length.py "Headline 1" "Headline 2"
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.
- 12d ago First seen · 235 lines · 1,814 tokens per session scan A 0492714a0927
google-ads-generator-with-ai-assistants CLAUDE.md is an instructions file published in the GitHub repository romek-rozen/google-ads-generator-with-ai-assistants (8 stars, last pushed 8mo ago), licensed MIT. It adds 1,814 tokens to every session, about $0.0091 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.
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