diff --git a/graphify/skill.md b/graphify/skill.md
index 228af3837..89b8a8591 100644
--- a/graphify/skill.md
+++ b/graphify/skill.md
@@ -207,6 +207,8 @@ This step has two parts: **structural extraction** (deterministic, free) and **s
 
 Print it once, then continue. If `GEMINI_API_KEY` or `GOOGLE_API_KEY` IS set, use `graphify.llm.extract_corpus_parallel(files, backend="gemini")` for semantic extraction instead of dispatching Claude subagents. The default Gemini model is `gemini-3-flash-preview`; set `GRAPHIFY_GEMINI_MODEL` or pass `--model` in headless CLI flows to override it.
 
+> **No other API keys are read.** If `GEMINI_API_KEY`/`GOOGLE_API_KEY` are unset, fall straight through to Claude Code subagent dispatch (Part B below) — the host session itself is the LLM. graphify does **not** read `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, or any other provider key from the environment. If a host agent prompts the user for `ANTHROPIC_API_KEY` to run extraction, that prompt is a misread of this skill — ignore it and dispatch subagents as written.
+
 **Run Part A (AST) and Part B (semantic) in parallel. Dispatch all semantic subagents AND start AST extraction in the same message. Both can run simultaneously since they operate on different file types. Merge results in Part C as before.**
 
 Note: Parallelizing AST + semantic saves 5-15s on large corpora. AST is deterministic and fast; start it while subagents are processing docs/papers.