conducting-cloud-incident-response
Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource…
Skill by adriannoes
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About
Use cases: devops, cloud, security, agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/conducting-cloud-incident-response
What's inside
- Skill name
conducting-cloud-incident-response- Description
- Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource isolation, and forensic evidence acquisition adapted for ephemeral cloud infrastructure. Activates for requests involving cloud incident response, AWS security incident, Azure compromise, GCP breach, cloud forensics, or cloud identity compromise.
- License
- Apache-2.0
- Instructions
- 265 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# Conducting Cloud Incident Response
## When to Use
- Cloud security posture management (CSPM) alerts on unauthorized resource changes
- CloudTrail, Azure Activity Logs, or GCP Audit Logs show suspicious API calls
- Cloud access keys or service principal credentials are suspected compromised
- Unauthorized compute instances, storage buckets, or IAM changes are detected
- A cloud-hosted application is breached and attacker activity spans cloud services
**Do not use** for on-premises-only incidents with no cloud component; use standard enterprise IR procedures.
## Prerequisites
- Cloud-native logging enabled and centralized: AWS CloudTrail (all regions), Azure Activity/Sign-in Logs, GCP Cloud Audit Logs
- IR-specific cloud IAM roles pre-provisioned with read-only forensic access
- Isolated forensic account/subscription/project for evidence preservation
- Cloud incident response runbooks specific to each cloud provider
- Cloud-native security tools: AWS GuardDuty, Azure Defender for Cloud, GCP Security Command Center
- Network traffic logging: VPC Flow Logs (AWS/GCP), NSG Flow Logs (Azure)
## Workflow
### Step 1: Detect and Confirm the Cloud Incident
Identify the scope and nature of the compromise:
**AWS Indicators:**
```
CloudTrail suspicious events to investigate:
- ConsoleLogin from unexpected geolocation or IP
- CreateAccessKey for existing IAM user (persistence)
- RunInstances for crypto-mining (large instance types)
- PutBucketPolicy making S3 bucket public
- AssumeRole to cross-account roles
- DeleteTrail or StopLogging (defense evasion)
- CreateUser or AttachUserPolicy (privilege escalation)
```
**Azure Indicators:**
```
Azure Activity Log events to investigate:
- Sign-in from anonymous IP or TOR exit node
- Service principal credential added
- Role assignment changes (Owner, Contributor added)
- VM created in unusual region
- Storage account access key regenerated
- Conditional Access policy modified or deleted
- MFA disabled for user account
```
**GCP Indicators:**
```
GCP Audit Log events to investigate:
- SetIamPolicy changes granting broad access
- CreateServiceAccountKey for existing SA
- InsertInstance in unexpected zone
- SetBucketIamPolicy with allUsers
- DeleteLog or UpdateSink (log tampering)
```
### Step 2: Contain Cloud Identity Compromise
Cloud containment is primarily an identity operation:
**AWS Containment:**
```bash
# Disable compromised IAM access keys
aws iam update-access-key --user-name compromised-user \
--access-key-id AKIA... --status Inactive
# Attach deny-all policy to compromised user
aws iam attach-user-policy --user-name compromised-user \
--policy-arn arn:aws:iam::aws:policy/AWSDenyAll
# Revoke all active sessions for compromised IAM role
aws iam put-role-policy --role-name compromised-role \
--policy-name RevokeOlderSessions --policy-document '{
"Version":"2012-10-17",
"Statement":[{
"Effect":"Deny",
"Action":"*",
"Resource":"*",
"Condition":{"DateLessThan":
{"aws:TokenIssueTime":"2025-11-15T15:00:00Z"}}
}]
}'
# Isolate compromised EC2 instance
aws ec2 modify-instance-attribute --instance-id i-0abc123 \
--groups sg-isolate-forensic
```
**Azure Containment:**
```powershell
# Disable compromised user
Set-AzureADUser -ObjectId "user@tenant.onmicrosoft.com" -AccountEnabled $false
# Revoke all sessions
Revoke-AzureADUserAllRefreshToken -ObjectId "user-object-id"
# Remove role assignments
Remove-AzRoleAssignment -ObjectId "sp-object-id" -RoleDefinitionName "Contributor"
# Isolate VM with NSG deny-all rule
$nsg = New-AzNetworkSecurityGroup -Name "isolate-nsg" -ResourceGroupName "rg" -Location "eastus"
$nsg | Add-AzNetworkSecurityRuleConfig -Name "DenyAll" -Priority 100 -Direction Inbound `
-Access Deny -Protocol * -SourceAddressPrefix * -SourcePortRange * `
-DestinationAddressPrefix * -DestinationPortRange *
```
### Step 3: Preserve Cloud Evidence
Collect evidence before ephemeral resources are terminated or logs rotate:
**AWS Evidence Collection:**
- Export CloudTrail events to S3 in the forensic account
- Snapshot EBS volumes of compromised EC2 instances
- Copy S3 access logs and object versionsFrom adriannoes/awesome-agentic-ai, Apache-2.0.
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Signals
- Stars
- 72
- Forks
- 19
- Open issues
- 0
- Last commit (this folder)
- Aug 28, 2026 (2 months ago)
- Last release
- Oct 24, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/adriannoes/awesome-agentic-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
conducting-cloud-incident-response skill. Agent Mart. https://agentmart.dev/skills/adriannoes-conducting-cloud-incident-response (last updated 2026-10-24)