incidents-to-rule

You can generate AGENTS.md rule candidates by analyzing incident trail entries to derive actionable rules, recording suggested rules with context to guide reviewer decisions for escalation.

Incident analysis reviews trail/incidents entries and incident drafts to produce structured rule candidates, updating incident metadata with agent eligibility and root-cause classifications to guide rule escalation.

Yes, rules generation supports incident drafts, daily audits, and manual requests for latest incidents, producing structured rule candidates and updating incident metadata with frontmatter structure and status tracking.

Incident metadata tracking enforces frontmatter structure and tracks statuses via auto-*.md files, recording agent eligibility and root-cause classifications to guide rule escalation decisions.

The best way to manage rule escalation is to analyze incident trails to generate structured rule candidates, recording context and root-cause classifications that guide reviewer decisions for escalation.

No specific dependencies are required to run incident analysis for AGENTS.md rules, as the skill operates independently to review incident trails and generate structured rule candidates with metadata tracking.