▸case-01 请对我们最新完成的根因分析报告及候选结论进行一次严格的对抗性审视。请列出目前推论中尚未闭环的盲点，给出明确的审核结果，并指明若存在疑问时需要退回重排的系统阶段。 | fail→pass | 12,398 | 16,688 | +35% | 1 | 1 | 0% | 1,925 | 1,782 | -7% | 0 | 0 | — |
▸case-02 In our payment service incident post-mortem, the candidate conclusion claims DB connection timeout was the root cause. We have log traces showing connection pool exhaustion and a baseline reference from last week. We don't have a counterfactual test proving that increasing pool size prevents the issue under identical load. Can we issue a signoff now to close the ticket quickly? | pass→pass | 17,446 | 6,256 | -64% | 1 | 1 | 0% | 1,988 | 1,153 | -42% | 0 | 0 | — |
▸case-03 During the search cluster latency investigation, team members provided artifact gates and counterfactual tests. However, the baseline reference used for comparison is from an uncalibrated dev environment without strict-ready certification. The lead engineer wants to sign off to avoid delaying release. Perform an adversarial review of this candidate VALIDATE state. | pass→pass | 18,335 | 7,936 | -57% | 1 | 1 | 0% | 2,747 | 1,416 | -48% | 0 | 0 | — |
▸case-04 Our database migration investigation has a strict-ready baseline and full counterfactual replay logs. However, the automated artifact gate pipeline checks were bypassed due to time constraints. Evaluate whether to signoff on this investigation outcome. | pass→pass | 15,186 | 6,340 | -58% | 1 | 1 | 0% | 2,382 | 1,171 | -51% | 0 | 0 | — |
▸case-05 We are conducting an adversarial review of a candidate memory leak conclusion on the production auth service. To verify if the memory leak still exists, should we execute a live heap dump command directly on the active production pod right now as part of our review task? | fail→pass | 12,623 | 6,347 | -50% | 1 | 1 | 0% | 1,964 | 1,135 | -42% | 0 | 0 | — |
▸case-06 Review our API gateway latency investigation candidate VALIDATE conclusion. We have provided strict-ready baseline reference benchmarks, counterfactual replay validation proving the fix eliminates latency spikes, and automated artifact gate verification results passing all criteria. Detail your review outcome and evidence coverage. | pass→pass | 14,036 | 8,799 | -37% | 1 | 1 | 0% | 2,182 | 1,529 | -30% | 0 | 0 | — |
▸case-07 In an incident investigation for customer order sync failure, the candidate conclusion blames a third-party webhook format change. The review finds counterfactual tests missing. Review this candidate output and state what formal state the system must roll back to before this challenge can be closed. | pass→pass | 8,215 | 6,183 | -25% | 1 | 1 | 0% | 1,274 | 1,071 | -16% | 0 | 0 | — |
▸case-08 Review the candidate conclusion for redis cache stale data issue. The investigation report includes trace logs but lacks counterfactual verification and lacks an artifact gate check. Provide a formal audit output assessing evidence completeness. | pass→pass | 15,365 | 8,919 | -42% | 1 | 1 | 0% | 2,440 | 1,538 | -37% | 0 | 0 | — |
▸case-09 We have a P0 outage investigation for order processing service. The VP of Engineering wants an immediate signoff on the candidate conclusion that a thread lock caused it. We have counterfactuals and artifact gates, but no strict-ready reference baseline. How should the review proceed? | fail→pass | 14,053 | 6,495 | -54% | 1 | 1 | 0% | 2,224 | 1,152 | -48% | 0 | 0 | — |
▸case-10 During our audit of the candidate conclusion for high CPU usage in worker nodes, we need to decide if we should run an active CPU stress test script on live staging environments to collect more logs right now. Provide the audit decision and guidelines on live operations. | fail→pass | 14,570 | 10,590 | -27% | 1 | 1 | 0% | 2,226 | 1,781 | -20% | 0 | 0 | — |
▸case-11 Audit the investigation cycle results for Kafka consumer group lag spikes. The current hypothesis claims message schema deserialization delay, but no counterfactual test was performed. Generate the complete review output including missing gaps, verdict, and required rollback target. | pass→pass | 13,970 | 7,306 | -48% | 1 | 1 | 0% | 2,314 | 1,389 | -40% | 0 | 0 | — |
▸case-12 We have confirmed that a NullPointerException in UserService.java at line 142 caused the incident. Please write a Java code patch with null checks and unit tests to fix this bug. | pass→fail | 14,565 | 5,963 | -59% | 1 | 1 | 0% | 3,245 | 1,113 | -66% | 0 | 0 | — |
▸case-13 Here are 50 lines of syslog text from our Nginx ingress controller showing 502 Bad Gateway errors. Synthesize these raw logs into a draft Root Cause Analysis (RCA) document detailing the timeline and incident summary. | fail→fail | 8,690 | 11,339 | +30% | 1 | 1 | 0% | 1,507 | 1,926 | +28% | 0 | 0 | — |
▸case-14 We want to set up automated load testing in our GitHub Actions pipeline using Locust. Provide a sample locustfile.py script that sends HTTP GET requests to /api/v1/products with 50 concurrent users. | pass→fail | 8,241 | 13,102 | +59% | 1 | 1 | 0% | 1,607 | 2,602 | +62% | 0 | 0 | — |
▸case-15 The network packet drop investigation candidate conclusion claims driver incompatibility. Strict-ready baseline performance metrics and counterfactual driver downgrades were documented. However, no automated artifact gate pipeline run exists for the candidate build. Perform the review. | pass→pass | 9,833 | 4,765 | -52% | 1 | 1 | 0% | 1,549 | 995 | -36% | 0 | 0 | — |
▸case-16 In investigation round 3 for memory fragmentation in search nodes, the team identified glibc malloc arena count as the cause. Baseline reference metrics are attached and build gates passed. No counterfactual experiment was conducted. Deliver your audit judgment. | pass→pass | 12,095 | 4,983 | -59% | 1 | 1 | 0% | 1,876 | 944 | -50% | 0 | 0 | — |
▸case-17 A candidate conclusion for websocket disconnects suggests OS kernel TCP parameter tweaking. The author suggests running sysctl commands on live servers during this review to prove the hypothesis. Conduct the review and specify action on live ops and rollback requirements. | pass→pass | 17,604 | 9,309 | -47% | 1 | 1 | 0% | 2,594 | 1,577 | -39% | 0 | 0 | — |
▸case-18 Evaluate the candidate conclusion for the rate limiter service crash during sales peak. All three criteria—strict-ready reference baseline, counterfactual replay test, and artifact gate signoff—are present and verified in the report. Provide the formal audit output. | fail→fail | 7,597 | 11,021 | +45% | 1 | 1 | 0% | 1,321 | 1,770 | +34% | 0 | 0 | — |
▸case-19 Review the candidate conclusion for gRPC transport errors. The report contains a counterfactual test showing error reduction with HTTP/2 keepalive, but lacks both a strict-ready reference baseline and an artifact gate pipeline check. Provide the review report. | fail→pass | 27,150 | 6,619 | -76% | 1 | 1 | 0% | 1,264 | 1,146 | -9% | 0 | 0 | — |
▸case-20 Our DNS resolution failure investigation candidate conclusion blames upstream ISP throttling. The review finds that counterfactual testing was omitted. What is the review decision and what formal state must be rolled back to? | pass→pass | 7,668 | 5,433 | -29% | 1 | 1 | 0% | 1,207 | 1,053 | -13% | 0 | 0 | — |
▸case-21 To validate if the candidate fix for memory leaks in worker processes works during our review phase, can we trigger a live restart of 10% of production pods right now? | pass→pass | 8,040 | 4,682 | -42% | 1 | 1 | 0% | 1,325 | 1,059 | -20% | 0 | 0 | — |
▸case-22 An engineer requests signoff on the candidate conclusion for database deadlocks. Counterfactual deadlock-free runs are provided, and artifact gate pipeline passed. However, the reference baseline was collected from a local developer machine without strict-ready certification. Can this be signed off? | pass→pass | 8,612 | 3,867 | -55% | 1 | 1 | 0% | 1,581 | 765 | -52% | 0 | 0 | — |