feat: Silent Knowledge Pass — recognise before asking (Phase 0, before the endpoint)

Not the endpoint yet — the bigger knowledge lever first. The Advisor can say "I need 5 answers" but
does not yet decide what it can find out by ITSELF. The Silent Knowledge Pass runs in front of the
Advisor and, from signals existing scanners/parsers already produce (website, repository, documents,
product data), deterministically derives capabilities the company demonstrably HAS + product facts
that drive scope — so every recognised item shrinks the delta and removes a question.

compliance/onboarding/silent_intake.py: silent_intake(signals, signal_map) -> detected_capabilities
(+ evidence already in hand) + product_facts. The signal->conclusion map is curated DATA
(knowledge/onboarding/intake_signal_map.yaml), signals are injected (scanners are upstream). Pure,
deterministic, no LLM. advisor_start gains detected_capabilities (folded into the profile at HIGH
confidence -> covered, not asked) and an auto_detected result + headline.

The experience flips from a question wall to "we already recognised 4 capabilities, 2 product facts
and have 4 pieces of evidence in hand — only these few remain". Order now: Silent Pass -> #58
endpoint/frontend -> #59 empirical loop. NOT new architecture, just an orchestration step in front.
Non-runtime (no app caller) -> no deploy. 15 onboarding tests pass, mypy --strict clean, check-loc 0.

backend-compliance/reference_scenarios/onboarding_advisor_demo.py

@@ -12,7 +12,10 @@ from __future__ import annotations
 import os
 import yaml
 
-from compliance.onboarding import CapabilityHypothesis, OnboardingInput, advisor_start, resolve_for_certifications
+from compliance.onboarding import (
+    CapabilityHypothesis, IntakeSignal, OnboardingInput, SignalMapping,
+    advisor_start, resolve_for_certifications, silent_intake,
+)
 from compliance.transition_reasoning import TargetRequirement
 
 OUT = []
@@ -37,7 +40,18 @@ inp = OnboardingInput(company="synthetisch", industry="machine_builder",
                       certifications=["ISO9001", "ISO27001", "ISO14001", "TISAX"],
                       known_evidence=["CE process"], target=["CRA"])
 hyp = resolve_for_certifications(inp.certifications, _lib)
-res = advisor_start(inp, hyp, req, target_id="CRA", covers_targets=covers, corpus_status={"CRA": "validated"})
+# Phase 0 — Silent Knowledge Pass: recognise everything possible from scanner signals BEFORE asking.
+_smap = [SignalMapping(**m) for m in yaml.safe_load(
+    open(os.path.join(os.path.dirname(__file__), "..", "knowledge", "onboarding", "intake_signal_map.yaml"), encoding="utf-8"))["mappings"]]
+_signals = [IntakeSignal(source="website", signal="security_txt_or_cvd_policy", detail="/.well-known/security.txt"),
+            IntakeSignal(source="repository", signal="sbom_file_found", detail="sbom.cdx.json"),
+            IntakeSignal(source="repository", signal="signed_releases"),
+            IntakeSignal(source="document", signal="product_risk_assessment_doc"),
+            IntakeSignal(source="product", signal="cloud_connectivity"),
+            IntakeSignal(source="product", signal="plc_sps")]
+si = silent_intake(_signals, _smap)
+res = advisor_start(inp, hyp, req, target_id="CRA", covers_targets=covers, corpus_status={"CRA": "validated"},
+                    detected_capabilities=si.capability_ids())
 
 w("# Smart Onboarding Advisor — was der Nutzer sieht (automatisch, ohne Vertrieb)")
 w("")
@@ -46,6 +60,12 @@ w("")
 w("## Eingabe")
 w("> Zertifizierungen: **%s** · Produkt: **%s** · Ziel: **%s**" % (", ".join(inp.certifications), inp.products[0], ", ".join(inp.target)))
 w("")
+w("## Phase 0 — Stille Vorbefüllung (BEVOR eine Frage erscheint)")
+w("> %s" % si.summary)
+w("- **Automatisch erkannte Fähigkeiten:** %s" % ", ".join("`%s`" % d.capability for d in si.detected_capabilities))
+w("- **Produktfakten (steuern den Scope):** %s" % ", ".join("`%s=%s`" % (f.key, f.value) for f in si.product_facts))
+w("- **Nachweise bereits in der Hand (kein Upload nötig):** %s" % ", ".join(si.evidence_found))
+w("")
 w("## Was wir erkannt haben")
 w("> %s" % res.headline)
 w("")