fix(onboarding): decouple partial/indicative signals from detected — partial no longer removes a question

Fix B of the pre-#59 semantic correction. The Silent Pass had only TWO effective states though the data
carries three: a `detected` mapping (a concrete artifact) AND a `partial` mapping (an indicative signal,
e.g. a CI pipeline -> secure-development-lifecycle) both flowed through capability_ids() and were fed to
the Advisor as already-present — so a weak indication silently removed a question, exactly the Welt-1/
Welt-2 transparency we want to keep.

Now three distinct states:
  - detected   -> reduces the delta immediately (auto_detected, not asked).   [unchanged]
  - partial    -> raises assumption strength but does NOT replace the question (surfaced as `indications`,
                  the capability stays in the delta and is still asked).
  - requirement-> describes a target, never the present state (already handled by Fix A's kind split).

Changes (data + thin wiring, no new architecture):
  - SilentIntakeResult.capability_ids() returns only relationship==detected; new indicative_capability_ids()
    returns the partial ones.
  - advisor_start() gains indicative_capabilities (NOT fed into the profile) and surfaces result.indications
    = indicative ∩ required − auto_detected.
  - AdvisorResult / AdvisorResponse gain `indications` (additive, contract-safe); the service passes the
    indicative ids through.

Tests: a partial CI signal is indicative-not-detected and does NOT shrink the delta; end-to-end it appears
in `indications`, not `auto_detected`, and the gap is still asked. 28 onboarding tests pass, mypy --strict
clean on the onboarding modules, demo runs, check-loc 0. Runtime effect -> deploy + smoke.

backend-compliance/compliance/api/onboarding_routes.py

@@ -41,6 +41,7 @@ class AdvisorResponse(BaseModel):
     silent_intake_summary: str = ""
     headline: str = ""
     auto_detected: List[str] = Field(default_factory=list)
+    indications: List[str] = Field(default_factory=list)        # partial signal: raises strength, still asked
     inferred_assumptions: List[InferredAssumption] = Field(default_factory=list)
     rejected_assumptions: List[RejectedAssumption] = Field(default_factory=list)
     top_5_questions: List[AdvisorQuestion] = Field(default_factory=list)
@@ -66,6 +67,7 @@ def advisor_start_endpoint(req: OnboardingAdvisorRequest) -> AdvisorResponse:
         products=req.products, markets=req.markets, industry=req.industry or "")
     return AdvisorResponse(
         silent_intake_summary=si_summary, headline=result.headline, auto_detected=result.auto_detected,
+        indications=result.indications,
         inferred_assumptions=result.inferred_assumptions, rejected_assumptions=result.rejected_assumptions,
         top_5_questions=result.next_best_questions, capability_delta=result.capability_delta,
         top_measures=result.top_measures, evidence_requests=result.evidence_requests,

backend-compliance/compliance/onboarding/engine.py

@@ -75,6 +75,7 @@ def advisor_start(
     corpus_status: Optional[Dict[str, str]] = None,
     uncertain: Optional[List[Dict[str, str]]] = None,
     detected_capabilities: Optional[Sequence[str]] = None,
+    indicative_capabilities: Optional[Sequence[str]] = None,
 ) -> AdvisorResult:
     """Run the onboarding flow: (silent intake +) certs -> profile -> delta -> ranked questions + measures.
 
@@ -86,6 +87,9 @@ def advisor_start(
     required = {r.capability_id for r in target_requirements}
     profile = _profile(inp, cert_hypotheses, detected_capabilities)
     auto_detected = sorted(set(detected_capabilities or []) & required)
+    # partial/indicative signals raise assumption strength but are NOT fed into the profile -> the gap
+    # stays open and is still asked. Surface only those still relevant and NOT already auto-detected.
+    indications = sorted((set(indicative_capabilities or []) & required) - set(auto_detected))
     assess = assess_transition(
         TransitionContext(company_id=inp.company or "company", target=TransitionGoal(target_id=target_id)),
         list(target_requirements), profile)
@@ -135,6 +139,7 @@ def advisor_start(
     probably = [c for c in assess.summary.probably_covered if c not in set(auto_detected)]
     return AdvisorResult(
         inferred_assumptions=inferred, rejected_assumptions=rejected, auto_detected=auto_detected,
+        indications=indications,
         next_best_questions=next_q, capability_delta=delta, top_measures=measures,
         evidence_requests=evidence, unsupported_domains=unsupported,
         completeness_summary=rep.completeness_summary,

backend-compliance/compliance/onboarding/schemas.py

@@ -53,7 +53,8 @@ class AdvisorMeasure(BaseModel):
 class AdvisorResult(BaseModel):
     inferred_assumptions: List[InferredAssumption] = Field(default_factory=list)
     rejected_assumptions: List[RejectedAssumption] = Field(default_factory=list)
-    auto_detected: List[str] = Field(default_factory=list)                     # Silent Pass: recognised w/o asking
+    auto_detected: List[str] = Field(default_factory=list)                     # detected (concrete artifact): recognised w/o asking
+    indications: List[str] = Field(default_factory=list)                       # partial signal: raises assumption strength, STILL asked
     next_best_questions: List[AdvisorQuestion] = Field(default_factory=list)   # max 5
     capability_delta: List[str] = Field(default_factory=list)
     top_measures: List[AdvisorMeasure] = Field(default_factory=list)

backend-compliance/compliance/onboarding/silent_intake.py

@@ -66,10 +66,15 @@ class SilentIntakeResult(BaseModel):
     summary: str = ""
 
     def capability_ids(self) -> List[str]:
-        """The detected capability ids — fed into the Advisor as already-present (delta-reducing).
+        """The DETECTED capability ids (relationship == detected) — fed into the Advisor as already-present
+        (delta-reducing, not asked). ONLY observation-kind signals reach here (requirements never become a
+        present capability); a merely PARTIAL/indicative signal does NOT (see indicative_capability_ids)."""
+        return sorted({d.capability for d in self.detected_capabilities if d.relationship == "detected"})
 
-        ONLY observation-kind signals reach here (requirements never become a present capability)."""
-        return sorted({d.capability for d in self.detected_capabilities})
+    def indicative_capability_ids(self) -> List[str]:
+        """Capabilities backed only by a PARTIAL/indicative signal — they raise assumption strength but do
+        NOT replace a question (the gap stays open and is still asked, just with an indication shown)."""
+        return sorted({d.capability for d in self.detected_capabilities if d.relationship != "detected"})
 
 
 def silent_intake(

backend-compliance/compliance/services/onboarding_service.py

@@ -76,5 +76,6 @@ def run_advisor(
                           known_evidence=list(known_evidence), target=[target])
     result = advisor_start(
         inp, resolve_for_certifications(certifications, _HYP_LIB), reqs, target_id=target,
-        covers_targets=covers, corpus_status={target: "validated"}, detected_capabilities=si.capability_ids())
+        covers_targets=covers, corpus_status={target: "validated"},
+        detected_capabilities=si.capability_ids(), indicative_capabilities=si.indicative_capability_ids())
     return result, si.summary