SLA Monitor

Set up SLA monitoring and uptime tracking for AI agents and services. Generates monitoring configs, alert rules, and incident response playbooks. Use when de...

Security Scan

The skill is an instruction-only SLA/monitoring playbook that is internally consistent with its stated purpose and does not request unexpected credentials or install code, with only minor template/placeholding inconsistencies to be aware of.

Purpose & Capability

The name and description match the SKILL.md: it provides monitoring options, SLA tiers, alert templates, incident playbooks, and a self-hosted Docker option — all appropriate for an SLA monitoring skill.

Instruction Scope

Instructions stay within scope of setting up monitoring and incident response. Minor notes: the alert template uses a ${SLACK_WEBHOOK} placeholder (implying a secret) but the skill does not declare any required environment variables; the template also contains example URLs and a Calendly/marketing link which are external but not unexpected for a commercial doc.

Install Mechanism

There is no install spec and no code files; the only executable guidance is an optional docker run for Uptime Kuma. No downloads or install scripts are included.

Credentials

The skill declares no required environment variables or credentials, which is reasonable for a documentation/templating skill. However, the YAML alert template references ${SLACK_WEBHOOK} (and examples of webhook/URL fields) — if you populate templates, you'll need to supply those secrets externally. No unexplained credential requests are present.

Persistence & Privilege

The skill does not request persistent presence (always is false) and has no install actions that modify agent/system config. Autonomous invocation remains enabled by default but is not a special privilege here.

Assessment

This skill is documentation and templates for SLA/monitoring and appears coherent. Before installing/use: (1) note that running the self-hosted option requires Docker on the host — the SKILL.md doesn't declare this requirement, so ensure your environment supports Docker if you follow that path; (2) the alert YAML uses a ${SLACK_WEBHOOK} placeholder — do not paste real secrets into public or shared prompts; provision webhook/credentials safely in your monitoring system or environment variables outside the agent unless you trust the execution context; (3) the SKILL.md contains external commercial links (Calendly, AfrexAI) — treat them as vendor contact info and verify affiliation if you plan to engage; (4) if you plan to let an agent act autonomously with this skill, consider limiting its scope and not enabling always:true; and (5) if you plan to run provided Docker commands, run them in an isolated environment (network policy, least privilege volumes) and verify the upstream image/tag before deploying.

SLA Monitor Skill

Purpose

Help teams set up production-grade monitoring for AI agents and automated services. Covers uptime tracking, response time SLAs, error budgets, and incident escalation.

When to Use

• Deploying AI agents to production
• Setting up monitoring for client-facing automation
• Creating SLA documentation for service agreements
• Building incident response procedures

Monitoring Stack Options

Option 1: UptimeRobot (Free tier available)

• 50 monitors free, 5-minute intervals
• HTTP, keyword, ping, port monitors
• Email + Slack + webhook alerts

Option 2: Better Stack (Formerly Uptime.com)

• Status pages included
• Incident management built-in
• Free tier: 10 monitors

Option 3: Self-Hosted (Uptime Kuma)

docker run -d --restart=always -p 3001:3001 -v uptime-kuma:/app/data --name uptime-kuma louislam/uptime-kuma:1

SLA Tiers

Tier 1: Standard ($1,500/mo)

• 99.5% uptime guarantee (43.8h downtime/year)
• Response within 4 hours (business hours)
• Monthly performance report

Tier 2: Professional ($3,000/mo)

• 99.9% uptime guarantee (8.76h downtime/year)
• Response within 1 hour (business hours)
• Weekly performance reports
• Quarterly optimization reviews

Tier 3: Enterprise ($5,000+/mo)

• 99.95% uptime (4.38h downtime/year)
• Response within 15 minutes (24/7)
• Real-time dashboard access
• Dedicated support channel

Alert Configuration Template

monitors:
  - name: "Agent Health Check"
    type: http
    url: "https://your-agent-endpoint/health"
    interval: 300  # 5 minutes
    alerts:
      - type: email
        threshold: 1  # alert after 1 failure
      - type: slack
        webhook: "${SLACK_WEBHOOK}"
        threshold: 2  # alert after 2 consecutive failures
      - type: sms
        threshold: 3  # escalate after 3 failures

  - name: "API Response Time"
    type: http
    url: "https://your-agent-endpoint/api"
    interval: 60
    expected_response_time: 2000  # ms
    alerts:
      - type: slack
        condition: "response_time > 5000"

error_budget:
  monthly_target: 99.9
  burn_rate_alert: 2.0  # Alert if burning 2x normal rate

Incident Response Playbook

Severity 1 — Total Outage

1. Acknowledge within 5 minutes
2. Status page update within 10 minutes
3. Root cause identification within 30 minutes
4. Resolution or workaround within 2 hours
5. Post-mortem within 24 hours

Severity 2 — Degraded Performance

1. Acknowledge within 15 minutes
2. Investigation within 30 minutes
3. Resolution within 4 hours
4. Summary report within 48 hours

Severity 3 — Minor Issue

1. Acknowledge within 1 hour
2. Resolution within 24 hours
3. Logged for next review cycle

Error Budget Calculator

Monthly minutes: 43,200 (30 days)
99.9% SLA = 43.2 minutes downtime allowed
99.5% SLA = 216 minutes downtime allowed
99.0% SLA = 432 minutes downtime allowed

Burn rate = (actual downtime / budget) × 100
If burn rate > 50% with 2+ weeks remaining → review needed
If burn rate > 80% → freeze deployments

Status Page Template

Provide clients with a public status page showing:

• Current system status (operational / degraded / outage)
• Component-level status (Agent A, Agent B, API, Dashboard)
• Uptime percentage (30-day rolling)
• Incident history with resolution notes
• Scheduled maintenance windows

Next Steps

Need managed AI agents with built-in SLA monitoring? → AfrexAI handles deployment, monitoring, and maintenance for $1,500/mo → Book a call: https://calendly.com/cbeckford-afrexai/30min → Learn more: https://afrexai-cto.github.io/aaas/landing.html