performing-service-account-credential-rotation
Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
Best use case
performing-service-account-credential-rotation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
Teams using performing-service-account-credential-rotation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/performing-service-account-credential-rotation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How performing-service-account-credential-rotation Compares
| Feature / Agent | performing-service-account-credential-rotation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Performing Service Account Credential Rotation
## Overview
Service accounts are non-human identities used by applications, daemons, CI/CD pipelines, and automated processes to authenticate to systems and APIs. These accounts often have elevated privileges and their credentials (passwords, API keys, certificates, tokens) are frequently long-lived and shared across teams, making them prime targets for attackers. Credential rotation is the systematic process of replacing these secrets on a scheduled basis, propagating new credentials to all dependent systems, and verifying service continuity after rotation.
## Prerequisites
- Inventory of all service accounts across AD, cloud, and applications
- Secrets management platform (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or CyberArk)
- Service dependency mapping (which services use which credentials)
- Change management process for rotation windows
- Monitoring for service health post-rotation
## Core Concepts
### Service Account Types
| Type | Platform | Credential | Rotation Method |
|------|----------|-----------|-----------------|
| Active Directory Service Account | Windows/AD | Password | gMSA (automatic) or PAM-managed |
| AWS IAM User | AWS | Access Key/Secret Key | AWS Secrets Manager rotation Lambda |
| GCP Service Account | GCP | JSON key file | Key rotation via IAM API |
| Azure Service Principal | Azure | Client secret/certificate | Key Vault + rotation policy |
| Database Service Account | SQL/Oracle/Postgres | Password | Vault dynamic secrets |
| API Key | SaaS applications | API token | Application-specific API |
### Group Managed Service Accounts (gMSA)
Windows gMSAs provide automatic password management by Active Directory:
- AD automatically rotates the password every 30 days
- Password is 240 bytes, cryptographically random
- Multiple servers can use the same gMSA simultaneously
- No administrator knows or manages the password
- Eliminates manual rotation for Windows services
### Rotation Architecture
```
Secrets Manager / Vault
│
├── Rotation Trigger (schedule or on-demand)
│
├── Generate new credential
│
├── Update credential at source (AD, cloud IAM, database)
│
├── Update credential in all consumers:
│ ├── Application configuration
│ ├── CI/CD pipeline secrets
│ ├── Kubernetes secrets
│ └── Other dependent services
│
├── Verify service health
│ ├── Health check endpoints
│ ├── Authentication test
│ └── Functional smoke test
│
└── Revoke old credential (after grace period)
```
## Implementation Steps
### Step 1: Discover and Inventory Service Accounts
Enumerate all service accounts and their dependencies:
```powershell
# Active Directory: Find all service accounts
Get-ADServiceAccount -Filter * -Properties *
Get-ADUser -Filter {ServicePrincipalName -ne "$null"} -Properties ServicePrincipalName,PasswordLastSet,LastLogonDate
# Find accounts with passwords older than 90 days
$threshold = (Get-Date).AddDays(-90)
Get-ADUser -Filter {PasswordLastSet -lt $threshold -and Enabled -eq $true} -Properties PasswordLastSet,ServicePrincipalName |
Where-Object {$_.ServicePrincipalName} |
Select-Object Name, PasswordLastSet, ServicePrincipalName
```
### Step 2: Implement gMSA for Windows Services
```powershell
# Create KDS Root Key (one-time, domain-wide)
Add-KdsRootKey -EffectiveImmediately
# Create the gMSA account
New-ADServiceAccount -Name "svc-webapp-gmsa" `
-DNSHostName "svc-webapp-gmsa.corp.example.com" `
-PrincipalsAllowedToRetrieveManagedPassword "WebServerGroup" `
-KerberosEncryptionType AES128,AES256
# Install on target server
Install-ADServiceAccount -Identity "svc-webapp-gmsa"
# Test the account
Test-ADServiceAccount -Identity "svc-webapp-gmsa"
# Configure IIS Application Pool to use gMSA
# Set identity to: CORP\svc-webapp-gmsa$
```
### Step 3: AWS Access Key Rotation with Secrets Manager
```python
import boto3
import json
def rotate_iam_access_key(secret_arn, iam_username):
"""Rotate an IAM user's access key via Secrets Manager."""
iam = boto3.client("iam")
sm = boto3.client("secretsmanager")
# Create new access key
new_key = iam.create_access_key(UserName=iam_username)
new_access_key = new_key["AccessKey"]["AccessKeyId"]
new_secret_key = new_key["AccessKey"]["SecretAccessKey"]
# Store new credentials in Secrets Manager
sm.put_secret_value(
SecretId=secret_arn,
SecretString=json.dumps({
"accessKeyId": new_access_key,
"secretAccessKey": new_secret_key,
"username": iam_username,
})
)
# List old access keys and deactivate them
keys = iam.list_access_keys(UserName=iam_username)
for key in keys["AccessKeyMetadata"]:
if key["AccessKeyId"] != new_access_key and key["Status"] == "Active":
iam.update_access_key(
UserName=iam_username,
AccessKeyId=key["AccessKeyId"],
Status="Inactive"
)
return {"new_key_id": new_access_key, "old_keys_deactivated": True}
```
### Step 4: Database Credential Rotation with Vault
```python
import hvac
def configure_vault_database_rotation(vault_url, vault_token, db_config):
"""Configure HashiCorp Vault for automatic database credential rotation."""
client = hvac.Client(url=vault_url, token=vault_token)
# Enable database secrets engine
client.sys.enable_secrets_engine(
backend_type="database",
path="database"
)
# Configure database connection
client.secrets.database.configure(
name=db_config["name"],
plugin_name="postgresql-database-plugin",
connection_url=f"postgresql://{{{{username}}}}:{{{{password}}}}@"
f"{db_config['host']}:{db_config['port']}/{db_config['database']}",
allowed_roles=[db_config["role_name"]],
username=db_config["admin_user"],
password=db_config["admin_password"],
)
# Create a role for dynamic credentials
client.secrets.database.create_role(
name=db_config["role_name"],
db_name=db_config["name"],
creation_statements=[
"CREATE ROLE \"{{name}}\" WITH LOGIN PASSWORD '{{password}}' VALID UNTIL '{{expiration}}';",
f"GRANT SELECT, INSERT, UPDATE, DELETE ON ALL TABLES IN SCHEMA public TO \"{{{{name}}}}\";"
],
default_ttl="1h",
max_ttl="24h",
)
return {"status": "configured", "role": db_config["role_name"]}
```
### Step 5: Post-Rotation Verification
After every rotation, verify service continuity:
```python
import requests
import time
def verify_service_health(service_endpoints, max_retries=3, delay=10):
"""Check that services are healthy after credential rotation."""
results = []
for endpoint in service_endpoints:
for attempt in range(max_retries):
try:
response = requests.get(
endpoint["health_url"],
timeout=10,
headers=endpoint.get("headers", {})
)
healthy = response.status_code == 200
results.append({
"service": endpoint["name"],
"status": "healthy" if healthy else f"unhealthy ({response.status_code})",
"attempt": attempt + 1,
})
if healthy:
break
except requests.RequestException as e:
results.append({
"service": endpoint["name"],
"status": f"error: {str(e)}",
"attempt": attempt + 1,
})
if attempt < max_retries - 1:
time.sleep(delay)
return results
```
## Validation Checklist
- [ ] Complete inventory of service accounts with dependency mapping
- [ ] gMSA implemented for all eligible Windows service accounts
- [ ] Cloud access keys rotated via secrets manager (AWS, GCP, Azure)
- [ ] Database credentials managed via dynamic secrets (Vault) or rotation policy
- [ ] Rotation schedule defined (30-90 days depending on risk level)
- [ ] Post-rotation health checks automated
- [ ] Alerting configured for rotation failures
- [ ] Old credentials revoked after grace period
- [ ] Rotation events logged and auditable
- [ ] Rollback procedure documented and tested
## References
- [Google Cloud Service Account Key Rotation](https://cloud.google.com/iam/docs/key-rotation)
- [AWS Secrets Manager Rotation](https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating-secrets.html)
- [Microsoft gMSA Documentation](https://learn.microsoft.com/en-us/windows-server/security/group-managed-service-accounts/group-managed-service-accounts-overview)
- [HashiCorp Vault Database Secrets Engine](https://developer.hashicorp.com/vault/docs/secrets/databases)Related Skills
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