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--- /tmp/task-download/single-node-chaos-hardening/grader.py	2026-02-13 13:36:32.569022191 -0700
+++ /home/dylan/dev/Nebula/tasks/single-node-chaos-hardening/grader.py	2026-02-13 14:17:17.945132597 -0700
@@ -242,9 +242,6 @@
         "priority_ok": priority_value > min_priority_value,
         "priority_value": priority_value,
         "priority_class": pc_name,
-        "mem_toleration": any(
-            t.get("key") == "node.kubernetes.io/memory-pressure" for t in tolerations
-        ),
         "node_affinity": "nodeAffinity" in affinity,

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Task Milestone Viability Analysis

Date: 2026-02-13
Authors: Dylan Fitzgerald + Claude (Opus 4.6)
Scope: Standalone tasks only (not subtasks). All numbers are total tasks including the current ~120.

---

Context

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Task Production Feasibility & Timeline Estimate

Date: 2026-02-13
Authors: Dylan Fitzgerald + Claude (Opus 4.6)
Context: The client has ~120 accepted apex-arena tasks on the Nebula platform. They want to reach 900. This document estimates what we can deliver and in what timeframe, grounded in empirical gap analysis.

---

Executive Summary

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fix: detect alert threshold in all Grafana multi-step alert formats

Problem

check_grafana_alert_rule() in grader.py only detects the >= 5 threshold when it appears inline in the PromQL expr field (e.g. "expr": "pg_lock_wait_time_seconds > 5").

The solution.sh creates alerts this way, so test-solution passes. But agents universally create alerts using Grafana's standard multi-step format, where the threshold lives in a separate step -- not in the expr string. This causes

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Task Review: chaos-engineering-resilience (v33)

Task UUID: 326ba06c-1edc-4f27-a0e3-57001213b883
Category: SRE | Difficulty: Hard | Horizon: 6h
Author: .tryps (Orestis Trypidakis)
Primary reviewer: shahryaradil (approved, promoted to secondary)
Secondary reviewer: daltoris

---

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--- a/tasks/single-node-chaos-hardening/grader.py
+++ b/tasks/single-node-chaos-hardening/grader.py
@@ -130,13 +130,6 @@ def validate_setup():
     if node_taints and not affinity_issues_found:
         feedback.append("All Tier 1/2 workloads compatible with node taints")

-    # --- PDB Existence Check ---
-    print("validating PDB existence")
-    for ns in ["argocd", "bleater", "monitoring"]:
-        rc, out = run(f"kubectl get pdb -n {ns} -o json")

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--- a/tasks/single-node-chaos-hardening/grader.py
+++ b/tasks/single-node-chaos-hardening/grader.py
@@ -69,18 +69,23 @@ def validate_setup():
             all_ok = False

     # --- Priority Ordering Check ---
-    print("validating relative priority ordering")
-    t1 = get_effective_priority("bleater")
-    t2 = get_effective_priority("gitea")
-    t3 = get_effective_priority("loadgenerator")

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Fix: Wait for Terminating Pods Before Grader Runs

Problem

The solution.sh for the kubernetes-security-hardening-zero-disruption task was failing the RBAC check with score 0.75 even though the solution correctly:

1. Created a dedicated ServiceAccount (bleater-app)
2. Patched all Deployments/StatefulSets to use the new SA
3. Performed a rolling restart

Root Cause

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--- a/setup.sh
+++ b/setup.sh
@@ -69,6 +69,16 @@
 # ------------------------------------------------------------
-# Prometheus discovery label mismatch (fault 4)
+# Prometheus discovery label mismatch (fault 4 & 5)
+# Fault 4: observability label
+# Fault 5: remove app label so the bleater-services endpoint
+#          discovery job can no longer match these services.
+#          This forces annotation-based pod discovery to be the

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Synthetic Endpoint Monitoring - Hardening Suggestions

Task ID: a6b6b25b-fbdf-4830-bd13-258c6bfd9948 Current Version: v32 Date: 2026-02-04

Context

After fixing the grader bugs (broken self-parameter methods), the task now passes test-solution with a perfect score. The agent pass rate is expected to increase with the fixed grader—it may exceed the 70% threshold, but it also might not.