▸case-16 We are implementing a dual-write buffer to prevent order loss during checkout service outages. Conduct a mitigation failure mode extraction by systematically asking all three mandatory evaluation questions regarding prevention, detection, and response. | pass→pass | 16,638 | 22,434 | +35% | 1 | 1 | 0% | 2,718 | 3,533 | +30% | 0 | 0 | — |
▸case-17 During secondary FMEA of an auto-scaling countermeasure for our video rendering farm, a newly discovered failure mode (thundering herd on cache startup) was assigned an H-priority severity score. Which SOP must be dispatched to fix this risky mitigation, and what happens after? | pass→pass | 16,392 | 9,185 | -44% | 1 | 1 | 0% | 1,871 | 1,277 | -32% | 0 | 0 | — |
▸case-01 We have drafted several proposed countermeasures for our automated lab pipeline following an outage. Before implementation, please evaluate these mitigations to ensure these fixes do not create secondary failure modes or unintended side effects. Analyze whether the prevention, detection, or response steps could create new issues, send any risky mitigations back for refinement, and provide a final risk scoring report documenting any residual risk. | fail→pass | 23,724 | 36,191 | +53% | 1 | 1 | 0% | 2,982 | 5,973 | +100% | 0 | 0 | — |
▸case-02 Our team has prepared a set of mitigation controls for our database migration service. Please run a validation check on these proposed countermeasures to confirm that the new safeguards themselves won't cause system disruptions. Check for potential false negatives in detection or flaws in response actions, iterate on risky countermeasures, and present the final re-scored S/O/D values along with residual risk notes. | fail→pass | 25,020 | 37,905 | +51% | 1 | 1 | 0% | 3,158 | 4,502 | +43% | 0 | 0 | — |
▸case-03 We need to review the newly designed countermeasures for our financial transaction processing service before sign-off. Please perform a secondary FMEA on the proposed mitigations to catch any new failure points they might introduce. If any proposed fix carries significant risk, route it for redesign and deliver the final updated risk scores once validation is complete. | fail→pass | 20,950 | 28,415 | +36% | 1 | 1 | 0% | 3,856 | 4,744 | +23% | 0 | 0 | — |
▸case-04 We are conducting an initial Risk Assessment / FMEA on our Kubernetes deployment pipeline before launching to production. We have identified several raw failure modes in the deployment scripts (e.g. helm release timeout, pod crashloop). Please run a standard primary FMEA to extract and rate the initial S/O/D risk scores for these raw deployment failure modes. Do not evaluate any mitigation measures yet, as none have been designed. | pass→pass | 25,786 | 13,955 | -46% | 1 | 1 | 0% | 3,523 | 3,041 | -14% | 0 | 0 | — |
▸case-05 Our cloud storage infrastructure team completed an initial FMEA and identified three top H-priority failure modes: S3 bucket policy misconfiguration, unencrypted backup snapshots, and key rotation exhaustion. We do not have any mitigation controls designed yet. Please design the primary prevention, detection, and response countermeasure specifications for these three primary failure modes. | pass→fail | 42,327 | 37,127 | -12% | 1 | 1 | 0% | 4,530 | 4,295 | -5% | 0 | 0 | — |
▸case-06 Our payment processing service experienced a 45-minute outage yesterday due to a database connection pool starvation issue. Here is the raw slack log from the incident response channel. Please generate a chronological post-mortem timeline and incident summary documenting the outage start time, key actions taken, and time to recovery. | fail→fail | 31,938 | 34,557 | +8% | 1 | 1 | 0% | 1,910 | 3,116 | +63% | 0 | 0 | — |
▸case-07 We are building a Python unit test suite using pytest for our user password validation module. Please write pytest test functions with assertions covering valid and invalid passwords. Do not perform any FMEA or mitigation validation analysis. | pass→pass | 28,753 | 31,399 | +9% | 1 | 1 | 0% | 2,104 | 2,124 | +1% | 0 | 0 | — |
▸case-08 We are adding an automated IP-rate-limiting firewall rule to mitigate DDoS attacks against our e-commerce API gateway. Senior engineers suspect the rate limiter itself might fail under heavy load or misconfiguration. Evaluate this proposed prevention measure specifically for failure modes in the prevention mechanism itself, rate the severity of any discovered issues on a 1-10 scale, and state whether redesign is required if an H-priority mode appears. | pass→pass | 27,024 | 55,789 | +106% | 1 | 1 | 0% | 3,396 | 3,170 | -7% | 0 | 0 | — |
▸case-09 To mitigate quiet data corruption in our sensor telemetry ingestion pipeline, we added a checksum validation alert. However, team members worry the alert won't fire during partial network drops. Perform a secondary FMEA focused on whether this detection mechanism can produce false negatives, rate the failure modes using AIAG-VDA standards, and confirm the threshold for routing back to mitigation-design-sop. | pass→pass | 53,182 | 35,865 | -33% | 1 | 1 | 0% | 6,011 | 3,123 | -48% | 0 | 0 | — |
▸case-10 To handle sudden memory leaks in our worker pool service, our team proposed an automated script that forcefully restarts worker pods when RAM exceeds 90%. We want to ensure this automated response script doesn't introduce downstream database lock contention or orphaned jobs. Evaluate the proposed response plan for new failure modes, determine its priority, and document residual risk if accepted. | pass→pass | 44,291 | 26,361 | -40% | 1 | 1 | 0% | 3,410 | 3,993 | +17% | 0 | 0 | — |
▸case-11 We are reviewing an automated failover script for our global DNS routing table. In round 1 of validation, an H-priority risk was found and redesigned. In round 2 of validation, the redesigned script still introduces an H-priority risk (split-brain routing). A developer suggests running a 3rd and 4th automated redesign loop until it passes. How should this scenario be handled regarding iteration limits and escalation? | pass→pass | 40,453 | 28,415 | -30% | 1 | 1 | 0% | 2,214 | 1,789 | -19% | 0 | 0 | — |
▸case-12 We need to process proposed security mitigations for our OAuth authentication service. Trace the step-by-step subagent sequence required from receiving proposed mitigations through final risk confirmation, highlighting which subagent handles failure identification, which handles scoring, which handles redesign, and which handles final confirmation. | fail→pass | 39,004 | 35,074 | -10% | 1 | 1 | 0% | 2,986 | 2,383 | -20% | 0 | 0 | — |
▸case-13 A QA lead wants to rate secondary failure modes from our backup script mitigations using a custom 1-5 Likelihood by 1-5 Impact grid multiplied together. Please evaluate the mitigation failure modes for our database backup script according to standard validation procedures and specify the required severity rating scale. | fail→pass | 25,070 | 24,611 | -2% | 1 | 1 | 0% | 3,411 | 4,019 | +18% | 0 | 0 | — |
▸case-14 An engineering manager claims we should only request a mitigation redesign if the overall Risk Priority Number (RPN = S x O x D) exceeds 125 on the secondary failure mode for our telemetry exporter fix. Validate whether redesign is governed by RPN >= 125 or by H-priority classification. | pass→pass | 14,540 | 10,480 | -28% | 1 | 1 | 0% | 2,459 | 1,472 | -40% | 0 | 0 | — |
▸case-15 After two validation cycles, our proposed rate-limiting safeguard for the user authentication API successfully resolved all H-priority secondary failure modes, leaving only low-severity residual risks. Outline the final step required before closing out validation. | fail→fail | 20,374 | 17,986 | -12% | 1 | 1 | 0% | 1,304 | 1,311 | +1% | 0 | 0 | — |
▸case-18 We ran secondary failure mode extraction on three proposed patches for our real-time analytics engine. None of the newly identified secondary failure modes received an H-priority rating. Detail the termination behavior and final output required for this validation run. | fail→fail | 18,412 | 12,565 | -32% | 1 | 1 | 0% | 2,069 | 1,906 | -8% | 0 | 0 | — |
▸case-19 A proposed circuit breaker mitigation for our microservice gateway has undergone 2 redesign iterations, but still produces an H-priority failure mode (cascading timeout propagation). Explain the exact termination action and output requirements. | pass→pass | 40,552 | 15,886 | -61% | 1 | 1 | 0% | 2,024 | 1,905 | -6% | 0 | 0 | — |
▸case-20 Our team introduced an automated read-replica failover script to prevent database read downtime. We need to check if this prevention measure itself can fail during network partitions. Assess this specific prevention mechanism, rate its severity using 1-10 AIAG-VDA, and determine if an H-priority finding requires subagent dispatch. | fail→pass | 22,145 | 19,858 | -10% | 1 | 1 | 0% | 2,681 | 2,647 | -1% | 0 | 0 | — |
▸case-21 We deployed a synthetic transaction prober to detect latency spikes in our billing microservice. We need to validate if this detection mechanism could produce false negatives during quiet night hours. Perform the detection validation step and specify how high risk is handled. | fail→pass | 21,605 | 18,644 | -14% | 1 | 1 | 0% | 2,545 | 2,924 | +15% | 0 | 0 | — |
▸case-22 When disk space drops below 5%, our automated response playbook purges temporary cache directories on edge nodes. Evaluate if this response action could create new system failure modes, such as clearing active customer session caches. Score any new failure modes and state the iteration cap. | fail→pass | 21,211 | 24,766 | +17% | 1 | 1 | 0% | 3,236 | 3,816 | +18% | 0 | 0 | — |
▸case-23 We have completed mitigation validation for our message queue deadlock fix. The secondary failure modes were rated L-priority and M-priority, so no further redesign iterations are needed. Describe the required final documentation output before sign-off. | fail→fail | 35,753 | 11,063 | -69% | 1 | 1 | 0% | 1,026 | 2,266 | +121% | 0 | 0 | — |