Borrowing it
Nothing to install: this file belongs to wdavidturner/product-skills. 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/wdavidturner/product-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/wdavidturner/product-skillsWrote 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/wdavidturner/product-skills/claude-md)<a href="https://agentmods.dev/instructions/wdavidturner/product-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/wdavidturner/product-skills/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/wdavidturner/product-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/wdavidturner/product-skills/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 | $0.02118 | $0.02118 |
| Opus 5 | $0.01059 | $0.01059 |
| Sonnet 5 | $0.00424 | $0.00424 |
| Haiku 4.5 | $0.00212 | $0.00212 |
Grade A, and why
product-skills 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 10d 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 — 216 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.
Project Purpose
This repository generates skills for AI agents from podcast transcripts. Skills capture product management wisdom, frameworks, and methodologies from industry experts in a portable, reusable format.
Skill Creation
Skills follow the Agent Skills specification — an open format for extending AI agent capabilities. See the skill-creator for methodology.
Required Skill Structure
skill-name/
├── SKILL.md # Main file with YAML frontmatter + overview
├── patterns/ # Concrete examples showing how to apply the framework
│ ├── _template.md # Template for creating new patterns
│ └── *.md # Individual pattern files (bad/good examples)
├── references/ # Optional supporting materials
└── scripts/ # Optional automation scripts
SKILL.md Format
---
name: skill-name # lowercase, hyphens only, max 64 chars
description: What this skill does and when to use it (max 1024 chars)
---
# Skill Name
[Instructions, workflows, and guidance for AI agents to follow]
Naming constraints: No XML tags, no reserved words (avoid agent-specific brand names).
Source Material
Lenny's Newsletter
The transcripts in this repository are sourced from Lenny's Newsletter, a leading resource for product management, growth, and career advice. Transcripts were shared publicly by Lenny for the community to explore and build upon.
Related resources:
- Lennybot — An AI chatbot that answers questions based on the entire content of Lenny's Newsletter and podcast episodes. It provides interactive access to practical insights on product, growth, and careers.
- Lenny's Newsletter — The original newsletter and podcast
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.
- 10d ago First seen · 216 lines · 2,118 tokens per session scan A b79e90636a49
product-skills CLAUDE.md is an instructions file published in the GitHub repository wdavidturner/product-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 2,118 tokens to every session, about $0.0106 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 instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.