Install
$ agentstack add skill-nik-kale-sre-skills-incident-response ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Incident Response
Systematic framework for investigating and resolving production incidents.
When to Use This Skill
- Production alert firing
- Service outage or degradation reported
- Error rates spiking
- User-reported issues affecting production
- On-call escalation received
Initial Triage (First 5 Minutes)
Copy and track progress:
Incident Triage:
- [ ] Confirm the incident is real (not false positive)
- [ ] Identify affected service(s)
- [ ] Assess severity level
- [ ] Start incident channel/thread
- [ ] Page additional responders if needed
Severity Assessment
Quickly determine severity to guide response urgency:
| Severity | Criteria | Response Time | | -------- | ------------------------------------------------ | ------------------------- | | SEV1 | Complete outage, data loss risk, security breach | Immediate, all hands | | SEV2 | Major degradation, significant user impact | OR request_id:
**Traces** - Find:
- Slowest traces in affected timeframe
- Error traces
- Traces crossing service boundaries
### 3. Change Correlation
Recent changes are the most common incident cause. Check:
Change Audit:
- [ ] Recent deployments (last 24h)
- [ ] Config changes
- [ ] Feature flag changes
- [ ] Infrastructure changes
- [ ] Database migrations
- [ ] Dependency updates
## Impact Assessment
Quantify the blast radius:
Impact Assessment:
- Affected users: [count or percentage]
- Affected regions: [list]
- Revenue impact: [if calculable]
- Data integrity: [confirmed OK / under investigation]
- Duration so far: [time]
## Mitigation Actions
Prioritize stopping the bleeding over finding root cause.
### Quick Mitigation Options
| Action | When to Use | Risk |
| -------------------- | -------------------------- | ------ |
| Rollback | Bad deployment identified | Low |
| Feature flag disable | New feature causing issues | Low |
| Scale up | Capacity exhaustion | Low |
| Restart | Memory leak, stuck process | Medium |
| Failover | Regional/AZ issue | Medium |
| Circuit breaker | Dependency failure | Low |
### Mitigation Checklist
Mitigation:
- [ ] Identify mitigation action
- [ ] Assess rollback risk
- [ ] Execute mitigation
- [ ] Verify improvement
- [ ] Monitor for recurrence
## Communication
### Status Update Template
```markdown
**Incident Update - [SERVICE] - [SEV LEVEL]**
**Status**: Investigating / Identified / Mitigating / Resolved
**Impact**: [Brief description of user impact]
**Current Actions**: [What's being done now]
**Next Update**: [Time or "when we have new information"]
Stakeholder Communication
- SEV1/SEV2: Proactive updates every 15-30 minutes
- SEV3: Update when status changes
- SEV4: Update in ticket
Root Cause Analysis
Only after mitigation. Don't debug while the site is down.
The 5 Whys
Why 1: [Immediate cause]
↓
Why 2: [Underlying cause]
↓
Why 3: [Contributing factor]
↓
Why 4: [Process/system gap]
↓
Why 5: [Root cause]
Common Failure Modes
Before deep investigation, check common patterns in [references/common-failure-modes.md](references/common-failure-modes.md).
Evidence Collection
Preserve for post-incident:
- Screenshots of dashboards
- Relevant log snippets
- Timeline of events
- Commands executed
- Configuration at time of incident
Resolution & Handoff
Resolution Checklist:
- [ ] Service restored to normal
- [ ] Monitoring confirms stability (15+ min)
- [ ] Incident channel updated with resolution
- [ ] Follow-up items captured
- [ ] Post-incident review scheduled (SEV1/SEV2)
Handoff Template
If handing off to another responder:
Incident Handoff:
- Summary: [1-2 sentences]
- Current status: [state]
- What's been tried: [list]
- Working theory: [hypothesis]
- Next steps: [recommended actions]
- Key links: [dashboards, logs, docs]
Post-Incident Review
For SEV1/SEV2 incidents, schedule within 48-72 hours.
Blameless Review Questions
- What happened? (Timeline)
- What was the impact?
- How was it detected?
- How was it mitigated?
- What was the root cause?
- What could we do differently?
- What action items will prevent recurrence?
Action Item Template
Action Item:
- Title: [Brief description]
- Owner: [Person/team]
- Priority: [P0/P1/P2]
- Due: [Date]
- Type: [Prevention / Detection / Response]
Quick Reference Commands
Kubernetes
# Pod status
kubectl get pods -n | grep -v Running
# Recent events
kubectl get events -n --sort-by='.lastTimestamp' | tail -20
# Pod logs
kubectl logs -n --tail=100
Docker
# Container status
docker ps -a | head -20
# Container logs
docker logs --tail 100
# Resource usage
docker stats --no-stream
System
# Resource pressure
top -bn1 | head -20
df -h
free -m
# Network connections
netstat -tuln | grep LISTEN
ss -tuln
Additional Resources
- [Severity Level Definitions](references/severity-levels.md)
- [Common Failure Modes](references/common-failure-modes.md)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: nik-kale
- Source: nik-kale/sre-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.