Individual skill
agent-incident-postmortem
Run a blameless postmortem for an incident caused by an AI agent or LLM feature — hallucinated facts shipped to users, runaway tool use, prompt injection, cost blowouts, or wrong actions taken autonomously. Use when asked to write up an AI incident, analyse why an agent did something wrong, or produce corrective actions after an LLM failure. Produces a structured postmortem with trace reconstruction, a root-cause layer analysis, and corrective actions including a permanent regression case. For non-AI production incidents use incident-postmortem.
skills/agent-incident-postmortem/SKILL.md
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# 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):