What is data-driven-product CLAUDE.md?

Instructions for a website-analysis skill that combines Google Search Console, Google Analytics 4, Bing Webmaster, PageSpeed, and search-visibility data. It follows a goal-to-data-to-gap-to-action process.

Use them to collect website performance and search data, assess SEO and GEO readiness, and create reports with charts and recommended actions.

They give the analysis a clear purpose and turn website data into prioritized improvements instead of disconnected metrics.

How MorvanZhou/data-driven-product configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to MorvanZhou/data-driven-product. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/MorvanZhou/data-driven-product/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/MorvanZhou/data-driven-product

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/morvanzhou/data-driven-product/claude-md/github.svg)](https://agentmods.dev/instructions/morvanzhou/data-driven-product/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/morvanzhou/data-driven-product/claude-md"><img src="https://agentmods.dev/badge/instructions/morvanzhou/data-driven-product/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/morvanzhou/data-driven-product/claude-md"><img src="https://agentmods.dev/badge/instructions/morvanzhou/data-driven-product/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 656 This file is loaded in full into every session.

When invoked 656 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00656	$0.00656
Opus 5.5	$0.00262	$0.00262
Sonnet 5.5	$0.00131	$0.00131
Haiku 4.5	$0.00066	$0.00066

Measured 2mo ago against content hash 2fbd35927619, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-driven-product 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 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.

CLAUDE.md · 59 lines

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.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

This is a Claude Code skill that performs goal-driven website analysis using Google Search Console (GSC), GA4, and Bing Webmaster APIs. It collects data, audits sites for SEO/GEO readiness, and generates prioritized improvement reports with charts.

Core principle: Goal → Data → Gap → Action — every analysis starts from the website's intended user journey and finds where reality diverges.

Project Structure

skills/data-driven-product/SKILL.md — The main skill definition (workflow phases, instructions)
skills/data-driven-product/scripts/ — Python data collection scripts (GA4, GSC, Bing, PSI, SEO/GEO audit)
skills/data-driven-product/references/ — Reference docs (metrics glossary, report template, visualization guide, checklist)
.skills-data/data-driven-product/ — Runtime data directory (created per-project when skill runs)

Python Environment

Uses uv with Python 3.12. Dependencies in skills/data-driven-product/scripts/pyproject.toml.

# Setup (once per project)
DATA_DIR=".skills-data/data-driven-product"
uv venv "$DATA_DIR/venv" --python 3.12
uv pip install -p "$DATA_DIR/venv" -r skills/data-driven-product/scripts/pyproject.toml

# Running scripts (always activate venv first)
source "$DATA_DIR/venv/bin/activate"
python skills/data-driven-product/scripts/ga4_query.py

Key Design Decisions

All data analysis must be done through code execution — never manually read JSON and summarize. Write scripts in $DATA_DIR/scripts/ that read from $DATA_DIR/data/ and output to $DATA_DIR/analysis/.
Every analysis phase must generate charts — saved as PNG to $DATA_DIR/charts/ and embedded in Markdown reports.
Credential auto-discovery — utils.py walks up directories to find .skills-data/, loads .env, and auto-discovers Service Account JSON from configs/.
Data directory separation — data/ (raw API responses), analysis/ (processed reports), charts/ (visualizations), scripts/ (analysis code).

Read the full file on GitHub · 59 lines

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.

2mo ago First seen · 59 lines · 656 tokens per session scan A 2fbd35927619

Subscribe to this mod's changes

data-driven-product CLAUDE.md is an instructions file published in the GitHub repository MorvanZhou/data-driven-product (10 stars, last pushed 5mo ago), licensed MIT. It adds 656 tokens to every session, about $0.0026 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.

Analytics and metrics Marketing and SEO

data-driven-product CLAUDE.md next to 6 instructions from other repositories
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data-driven-product: Instructions file for Claude Code