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incident-response-plan

Generate a tailored incident response plan for AI agent deployments and SaaS operations. Covers detection, triage, containment, recovery, and post-mortem. Use when deploying agents to production, preparing for SOC2 audits, or building operational resilience. Built by AfrexAI.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/afrexai-cto/afrexai-incident-response-plan
Or

Incident Response Plan Generator

Generate a production-ready incident response plan tailored to your AI agent deployment.

When to Use

  • Deploying AI agents to production for the first time
  • Preparing for SOC2 or ISO 27001 audits
  • Client asks "what happens when something breaks?"
  • Building operational runbooks for managed AI services
  • After an incident — to prevent recurrence

Input

Service: [Name of AI agent/service]
Environment: [cloud provider, region, architecture]
Data Sensitivity: [low/medium/high/critical]
Team Size: [number of responders]
SLA: [uptime target, e.g., 99.9%]
Integrations: [list of connected systems]

Plan Structure

1. Severity Classification

LevelDescriptionResponse TimeExamples
SEV1 — CriticalService down, data breach, financial impact15 minAgent sending wrong data to clients, API keys exposed
SEV2 — HighDegraded service, partial outage1 hourAgent responses slow, one integration failing
SEV3 — MediumNon-critical issue, workaround exists4 hoursMinor accuracy drop, cosmetic errors
SEV4 — LowEnhancement, no immediate impactNext business dayFeature request, optimization

2. Detection & Alerting

  • Health check endpoints (every 60s)
  • Error rate thresholds (>1% = SEV3, >5% = SEV2, >25% = SEV1)
  • Response time monitoring (p99 > 2x baseline = alert)
  • Cost anomaly detection (>150% daily average)
  • Output quality sampling (random audit of agent responses)
  • Uptime monitoring (UptimeRobot, Pingdom, or custom)

3. Triage Checklist

□ Confirm the alert is real (not false positive)
□ Classify severity (SEV1-4)
□ Identify affected scope (which agents, which clients)
□ Check recent changes (deploys, config changes, upstream)
□ Assign incident commander
□ Open incident channel/thread
□ Notify affected stakeholders per SLA

4. Containment Actions by Type

Agent Misbehavior:

  • Pause agent processing (kill switch)
  • Revert to last known good config
  • Enable human-in-the-loop mode
  • Queue messages for manual review

Infrastructure Failure:

  • Failover to backup region/instance
  • Scale horizontally if capacity issue
  • Check upstream dependencies (API providers, databases)
  • Enable circuit breakers

Security Incident:

  • Rotate all credentials immediately
  • Isolate affected systems
  • Preserve logs and evidence
  • Engage security team / legal if data breach

Data Quality Issue:

  • Halt automated outputs
  • Identify contamination window
  • Notify affected clients with timeline
  • Prepare correction batch

5. Communication Templates

Client notification (SEV1/2):

Subject: [Service Name] — Incident Update

We've identified an issue affecting [description].
- Impact: [what's affected]
- Status: [investigating/identified/monitoring/resolved]
- ETA: [estimated resolution time]
- Workaround: [if available]

We'll provide updates every [30 min / 1 hour].

Metadata

Stars4473
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Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-afrexai-cto-afrexai-incident-response-plan": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.