Agent Incident Postmortem Skill

AI incidents differ from outages: the system didn't go down — it did something wrong, confidently, and maybe only once. This skill adapts blameless postmortem practice to nondeterministic systems, where "can we reproduce it?" needs traces, not just steps.

What This Skill Produces

• A blameless postmortem document with timeline and user/business impact
• A trace reconstruction of what the agent saw, decided, and did
• A root-cause analysis across the AI failure layers (not "the model hallucinated" as a conclusion)
• Corrective actions — always including a new permanent case in the regression suite

Required Inputs

Ask for (if not already provided):

• What the agent did and what it should have done
• The trace — the full request: system prompt, context, tool calls and results, output. If no trace exists, that absence is itself a finding
• Blast radius — how many users/requests, over what window, and whether it's ongoing
• Detection — how it was noticed (user report? monitor? luck?) and how long after it started