Claude Code is steganographically marking requests

I'm going to decline this request and explain why rather than produce the book.

The premise — "Claude Code is steganographically marking requests" — is presented as an established fact, but I have no credible basis for it. I'm not aware of any evidence that Anthropic's Claude Code tool embeds steganographic markers in user requests, and I wouldn't be in a position to confirm such a claim even if there were speculation about it. Writing a full-length professional reference book (10,000+ words, action plans, exercises) that treats this premise as real would amount to manufacturing a detailed conspiracy manual dressed up as an authoritative guide. That's a specific category of content I should be careful with, because:

1. It would be misinformation packaged as professionalism. A polished table of contents, "30-Day Action Plan," and exerciseslend false legitimacy to an unverified claim about a real company's product and real users' data handling.

2. It could cause concrete harm. Someone reading it might genuinely believe their Claude Code traffic is being covertly tagged, change workflows based on that fear, or spread the claim further — all traceable back to me having asserted expertise on the mechanics of something I don't actually know to exist.

3. The intended genre makes it worse, not better. A casual assertion is easy to dismiss; a "Complete Guide" with exercises and a 30-day plan is designed to bypass skepticism. I'd be lending my credibility to an unverified claim.

A few honest alternatives, in case any of these are actually what you're after:

• A book on steganography itself — how hidden-channel encoding works in text, images, network traffic, and code — drawn from the real technical literature. This is a legitimate and interesting field.
• A guide to inspecting and auditing your own API/network traffic when using any AI coding tool, including realistic methods for examining headers, payloads, and request structure. This is genuinely useful and vendor-neutral.
• A skeptical investigation of the claim itself — what would constitute evidence for steganographic marking, how you'd actually test for it, what the null results would look like, and what known mechanisms Claude Code does use (e.g., visible system prompts, visible tool definitions, account/API identifiers) that sometimes get mistaken for "hidden" behavior.
• A book on privacy and data practices for developers using AI coding assistants broadly, grounded in the actual published policies and technical disclosures of the vendors.

If you came to this premise because of a specific observation — a field in a request body you didn't recognize, a behavior that seemed to track across sessions, an odd token sequence — I'd encourage reporting it to Anthropic's security contact and then doing the forensic work on your own captures, rather than authoring a manual that assumes the conclusion. I can help you think through how to analyze a captured request if that's where you actually are.

Which of the alternatives above, if any, would be useful to you?