diff --git a/src/skillspector/nodes/report.py b/src/skillspector/nodes/report.py
index 68c0760a..4970c335 100644
--- a/src/skillspector/nodes/report.py
+++ b/src/skillspector/nodes/report.py
@@ -924,7 +924,16 @@ def report(state: SkillspectorState) -> dict[str, object]:
     inference_usage = state.get("inference_usage") or []
 
     _attempted, _succeeded, degraded = _llm_runtime_status(use_llm, llm_call_log)
+    provider_available, provider_error = is_llm_available()
+    has_recorded_failure = any(not r.get("ok") for r in llm_call_log)
+    provider_unavailable = bool(use_llm and not provider_available and has_recorded_failure)
+    degraded = degraded or provider_unavailable
     degraded_notice = _llm_degradation_notice(use_llm, llm_call_log)
+    if provider_unavailable and degraded_notice is None:
+        degraded_notice = (
+            "LLM analysis was requested but the configured provider was unavailable"
+            f" ({provider_error or 'unknown reason'}); results may reflect static analysis only."
+        )
     if degraded:
         logger.warning(
             "LLM stage degraded: %d/%d LLM call(s) failed; report reflects static analysis only",
@@ -957,6 +966,10 @@ def report(state: SkillspectorState) -> dict[str, object]:
     entirely_uninspected = (
         entirely_uninspected_value if isinstance(entirely_uninspected_value, int) else 0
     )
+
+    # Fail closed when a deep scan is degraded, including an unavailable
+    # provider with mixed call telemetry, or when inspection completeness says
+    # some content was not inspected. Leave the score and severity untouched.
     if (degraded or fatal_exception or entirely_uninspected > 0) and risk_recommendation == "SAFE":
         risk_recommendation = "CAUTION"
 
diff --git a/tests/nodes/test_report.py b/tests/nodes/test_report.py
index ec7d60b1..771f119e 100644
--- a/tests/nodes/test_report.py
+++ b/tests/nodes/test_report.py
@@ -987,6 +987,35 @@ def test_degraded_scan_floors_recommendation_at_caution() -> None:
     assert result["risk_recommendation"] == "CAUTION"  # but never SAFE when degraded
 
 
+def test_unavailable_provider_floors_recommendation_even_with_success_records(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """Provider truth wins when swallowed batch failures produced false success records."""
+    monkeypatch.setattr(
+        "skillspector.nodes.report.is_llm_available",
+        lambda: (False, "codex binary not found"),
+    )
+    state: SkillspectorState = {
+        "filtered_findings": [],
+        "component_metadata": [],
+        "has_executable_scripts": False,
+        "manifest": {},
+        "output_format": "json",
+        "use_llm": True,
+        "llm_call_log": [
+            llm_call_record("semantic_developer_intent", ok=True),
+            llm_call_record("semantic_quality_policy", ok=True),
+            llm_call_record("semantic_security_discovery", ok=False, error="binary missing"),
+        ],
+    }
+
+    result = report(state)
+    assert result["risk_recommendation"] == "CAUTION"
+    payload = json.loads(result["report_body"])
+    assert payload["risk_assessment"]["recommendation"] == "CAUTION"
+    assert payload["metadata"]["llm_available"] is False
+
+
 def test_non_degraded_clean_scan_stays_safe() -> None:
     """Without degradation, a clean scan still reports SAFE (no over-flooring)."""
     state: SkillspectorState = {