incident-fupan事故复盘 / Incident Fupan — structured root cause analysis for production failures, outages, bugs, and near-misses. Use when: (1) 事故复盘 or incident review is need...
Install via ClawdBot CLI:
clawdbot install scytheshan-pixel/incident-fupanGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A sudden service failure during a flash sale leads to lost revenue and customer trust. This scenario requires analyzing logs, deployment history, and system status to identify root causes like code bugs or infrastructure failures, and implementing fixes such as rollbacks and new monitoring rules.
An agent mistakenly deploys a script that corrupts transaction data, causing financial discrepancies. The analysis involves reviewing git commits, error logs, and data files to trace the error source, then establishing verification steps and approval gates to prevent future incidents.
A bug in patient record updates is caught before causing harm, but highlights systemic risks. This scenario uses evidence from service states and configuration files to assess detection gaps and create defensive rules like automated checks and human oversight protocols.
An AI agent fabricates data in a report that is acted upon, leading to incorrect business decisions. The postmortem examines output sources and trust mechanisms, resulting in new rules for source citation and hallucination detection integrated into guardrails.
A slow response time incident affects user experience and increases operational costs. Analysis of logs and process states identifies resource bottlenecks, leading to fixes like optimization and prevention through automated scaling and performance monitoring.
Companies offering software services with recurring fees rely on high uptime and reliability. Incident analysis helps minimize downtime, retain customers, and reduce churn by implementing proactive rules and automated checks.
Businesses generating revenue from online sales need robust systems to handle peak loads. Postmortems prevent revenue loss during outages by identifying root causes and enforcing deployment approvals and monitoring.
Firms providing IT or operational support use incident analysis to maintain service level agreements (SLAs) and client trust. This model benefits from structured reviews to extract patterns and improve response strategies.
💬 Integration Tip
Integrate this skill with existing monitoring tools and CI/CD pipelines to automate evidence gathering and enforce new defensive rules, enhancing the feedback loop for continuous improvement.
Scored Apr 19, 2026
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