update5

app.py

@@ -43,7 +43,7 @@ def fetch_incentive_data() -> pd.DataFrame:
 
             is_active = metagraph.pending_root_emission.tao > 0 and metagraph.alpha_out_emission > 0 and metagraph.moving_price > 0
             data.append([
-                f"[netuid: {sn} / {subnet.subnet_name}](https://taostats.io/subnets/{sn})" + (" 🟢" if is_active else " 🔴"),
+                f"[netuid: {sn} / {subnet.subnet_name}](https://taostats.io/subnets/{sn})" + (" 🟢" if sn not in skips else " 🔴"),
                 is_active,
                 round(subnet.alpha_to_tao(1).tao, 6),
                 round(incentive*100, 2),