diff --git a/.github/workflows/production_ci.yaml b/.github/workflows/production_ci.yaml
index a7866916e..609d28bb4 100644
--- a/.github/workflows/production_ci.yaml
+++ b/.github/workflows/production_ci.yaml
@@ -281,7 +281,7 @@ jobs:
           poetry run python main.py deploy add-package correction-step --chart=correction-step --values=correction_step-helm-values --chart-folder=correction_step
           poetry run python main.py deploy add-package early-classifier-step --chart=early-classifier --values=early_classification_step-helm-values --chart-folder=early_classification_step
           # feature step from main
-          poetry run python main.py deploy add-package feature-step --chart=feature-step --values=feature_step-helm-values --chart-folder=feature_step
+          # poetry run python main.py deploy add-package feature-step --chart=feature-step --values=feature_step-helm-values --chart-folder=feature_step
           # feature step freezed 23.x version
           poetry run python main.py deploy add-package feature-step-23.x --chart=feature-step --values=feature_step-helm-values:13 --chart-folder=feature_step
           poetry run python main.py deploy add-package lc-classifier-step --chart=lc-classifier-step --values=lc_classification_step_ztf-helm-values --chart-folder=lc_classification_step
diff --git a/prv_candidates_step/prv_candidates_step/core/strategy/ztf.py b/prv_candidates_step/prv_candidates_step/core/strategy/ztf.py
index ee0d9f1db..b397c0d4e 100644
--- a/prv_candidates_step/prv_candidates_step/core/strategy/ztf.py
+++ b/prv_candidates_step/prv_candidates_step/core/strategy/ztf.py
@@ -179,6 +179,21 @@ def extract_detections_and_non_detections(alert: dict) -> dict:
         pickle.loads(forced_photometries) if forced_photometries else []
     )
 
+    # filter forced photometry by value
+    # potencial bugs from ztf
+    def filter_fp(fp):
+        forcediffimflux_bad_values = [None, 0]
+        # if the value is not close to -99999 return true
+        good_fp = fp[
+            "forcediffimflux"
+        ] not in forcediffimflux_bad_values and not np.isclose(
+            fp["forcediffimflux"], -99999
+        )
+        return good_fp
+
+    # use the filter funcion to remove bad fp
+    forced_photometries = list(filter(filter_fp, forced_photometries))
+
     acopy = copy.deepcopy(alert)
     detections = [acopy]
     non_detections = []