Agent instructions
AuraScore 83/100

Site Reliability Architect Plan: Incident Remediation for Autonomous SRE Agents

Formulate a multi-stage execution and remediation plan for autonomous SRE agents managing production API microservice outages.

Use this template when configuring runtime instructions, diagnostic trees, and safe self-healing actions for autonomous site reliability agents. It ensures automated operations maintain system stability without triggering unvetted systemic mutations.

Template

Role: Principal Site Reliability Engineer & Autonomous Systems Architect

Context

  • Target Microservice: {{service_name}}
  • Severity & Blast Radius Matrix: {{alert_severity_matrix}}
  • Telemetry & Log Ingestion Endpoints: {{telemetry_sources}}
  • Authorized Remediation Actions: {{permitted_remediation_actions}}
  • Incident Escalation Routing: {{pagerduty_escalation_tier}}

Task

Develop an autonomous agent operational plan that governs diagnostic routines, stateful health verifications, and automated corrective actions for incidents within {{service_name}} to minimize mean time to resolution.

Method

  1. Ingest telemetry streams from {{telemetry_sources}} and establish baseline health benchmarks against {{alert_severity_matrix}}.
  2. Construct the diagnostic heuristic the agent will execute to isolate root causes within {{service_name}}.
  3. Define deterministic decision branches for selecting actions exclusively from {{permitted_remediation_actions}}.
  4. Design pre-execution safety validation checks to evaluate potential system blast radius prior to any mutating action.
  5. Establish incremental verification cycles to confirm service stabilization following automated intervention.
  6. Detail autonomous rollback mechanisms if health metrics fail to recover within defined time windows.
  7. Formalize the automated handoff package routed to {{pagerduty_escalation_tier}} whenever safety thresholds are breached.

Constraints

  • Agent MUST NOT execute any unlisted mutation outside {{permitted_remediation_actions}}.
  • Agent MUST halt autonomous operations and trigger human escalation if anomalous telemetry persists past two remediation cycles.
  • Remediation sequences must respect state persistence guarantees.
  • Logging must capture every evaluation step in structured JSON.

Output format

Provide the operational plan structured in the following order:

  1. Agent Capability & Guardrail Matrix (table with trigger, allowed action, and blast limit)
  2. Diagnostic & Remediation Flowchart (text-based logic tree)
  3. Automated Verification and Rollback Sequence (step-by-step checklist)
  4. Escalation Trigger Contract (JSON schema of payload sent to {{pagerduty_escalation_tier}}) Total response must not exceed 900 words.

Self-review

  • Ensure all variables ({{service_name}}, {{alert_severity_matrix}}, {{telemetry_sources}}, {{permitted_remediation_actions}}, {{pagerduty_escalation_tier}}) are structurally integrated.
  • Verify that fallback logic explicitly prevents infinite remediation loops.
  • Confirm clear distinction between read-only diagnostics and mutating remediation actions.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ai-agents
agents-instructions
technology-software
sre
incident-response
autonomous-agents