secrets-management
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
Best use case
secrets-management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
Teams using secrets-management 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/secrets-management/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How secrets-management Compares
| Feature / Agent | secrets-management | 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?
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
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
# Secrets Management
Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.
## Purpose
Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.
## Use this skill when
- Store API keys and credentials
- Manage database passwords
- Handle TLS certificates
- Rotate secrets automatically
- Implement least-privilege access
## Do not use this skill when
- You plan to hardcode secrets in source control
- You cannot secure access to the secrets backend
- You only need local development values without sharing
## Instructions
1. Identify secret types, owners, and rotation requirements.
2. Choose a secrets backend and access model.
3. Integrate CI/CD or runtime retrieval with least privilege.
4. Validate rotation and audit logging.
## Safety
- Never commit secrets to source control.
- Limit access and log secret usage for auditing.
## Secrets Management Tools
### HashiCorp Vault
- Centralized secrets management
- Dynamic secrets generation
- Secret rotation
- Audit logging
- Fine-grained access control
### AWS Secrets Manager
- AWS-native solution
- Automatic rotation
- Integration with RDS
- CloudFormation support
### Azure Key Vault
- Azure-native solution
- HSM-backed keys
- Certificate management
- RBAC integration
### Google Secret Manager
- GCP-native solution
- Versioning
- IAM integration
## HashiCorp Vault Integration
### Setup Vault
```bash
# Start Vault dev server
vault server -dev
# Set environment
export VAULT_ADDR='http://127.0.0.1:8200'
export VAULT_TOKEN='root'
# Enable secrets engine
vault secrets enable -path=secret kv-v2
# Store secret
vault kv put secret/database/config username=admin password=secret
```
### GitHub Actions with Vault
```yaml
name: Deploy with Vault Secrets
on: [push]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Import Secrets from Vault
uses: hashicorp/vault-action@v2
with:
url: https://vault.example.com:8200
token: ${{ secrets.VAULT_TOKEN }}
secrets: |
secret/data/database username | DB_USERNAME ;
secret/data/database password | DB_PASSWORD ;
secret/data/api key | API_KEY
- name: Use secrets
run: |
echo "Connecting to database as $DB_USERNAME"
# Use $DB_PASSWORD, $API_KEY
```
### GitLab CI with Vault
```yaml
deploy:
image: vault:latest
before_script:
- export VAULT_ADDR=https://vault.example.com:8200
- export VAULT_TOKEN=$VAULT_TOKEN
- apk add curl jq
script:
- |
DB_PASSWORD=$(vault kv get -field=password secret/database/config)
API_KEY=$(vault kv get -field=key secret/api/credentials)
echo "Deploying with secrets..."
# Use $DB_PASSWORD, $API_KEY
```
**Reference:** See `references/vault-setup.md`
## AWS Secrets Manager
### Store Secret
```bash
aws secretsmanager create-secret \
--name production/database/password \
--secret-string "super-secret-password"
```
### Retrieve in GitHub Actions
```yaml
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: us-west-2
- name: Get secret from AWS
run: |
SECRET=$(aws secretsmanager get-secret-value \
--secret-id production/database/password \
--query SecretString \
--output text)
echo "::add-mask::$SECRET"
echo "DB_PASSWORD=$SECRET" >> $GITHUB_ENV
- name: Use secret
run: |
# Use $DB_PASSWORD
./deploy.sh
```
### Terraform with AWS Secrets Manager
```hcl
data "aws_secretsmanager_secret_version" "db_password" {
secret_id = "production/database/password"
}
resource "aws_db_instance" "main" {
allocated_storage = 100
engine = "postgres"
instance_class = "db.t3.large"
username = "admin"
password = jsondecode(data.aws_secretsmanager_secret_version.db_password.secret_string)["password"]
}
```
## GitHub Secrets
### Organization/Repository Secrets
```yaml
- name: Use GitHub secret
run: |
echo "API Key: ${{ secrets.API_KEY }}"
echo "Database URL: ${{ secrets.DATABASE_URL }}"
```
### Environment Secrets
```yaml
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- name: Deploy
run: |
echo "Deploying with ${{ secrets.PROD_API_KEY }}"
```
**Reference:** See `references/github-secrets.md`
## GitLab CI/CD Variables
### Project Variables
```yaml
deploy:
script:
- echo "Deploying with $API_KEY"
- echo "Database: $DATABASE_URL"
```
### Protected and Masked Variables
- Protected: Only available in protected branches
- Masked: Hidden in job logs
- File type: Stored as file
## Best Practices
1. **Never commit secrets** to Git
2. **Use different secrets** per environment
3. **Rotate secrets regularly**
4. **Implement least-privilege access**
5. **Enable audit logging**
6. **Use secret scanning** (GitGuardian, TruffleHog)
7. **Mask secrets in logs**
8. **Encrypt secrets at rest**
9. **Use short-lived tokens** when possible
10. **Document secret requirements**
## Secret Rotation
### Automated Rotation with AWS
```python
import boto3
import json
def lambda_handler(event, context):
client = boto3.client('secretsmanager')
# Get current secret
response = client.get_secret_value(SecretId='my-secret')
current_secret = json.loads(response['SecretString'])
# Generate new password
new_password = generate_strong_password()
# Update database password
update_database_password(new_password)
# Update secret
client.put_secret_value(
SecretId='my-secret',
SecretString=json.dumps({
'username': current_secret['username'],
'password': new_password
})
)
return {'statusCode': 200}
```
### Manual Rotation Process
1. Generate new secret
2. Update secret in secret store
3. Update applications to use new secret
4. Verify functionality
5. Revoke old secret
## External Secrets Operator
### Kubernetes Integration
```yaml
apiVersion: external-secrets.io/v1beta1
kind: SecretStore
metadata:
name: vault-backend
namespace: production
spec:
provider:
vault:
server: "https://vault.example.com:8200"
path: "secret"
version: "v2"
auth:
kubernetes:
mountPath: "kubernetes"
role: "production"
---
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: database-credentials
namespace: production
spec:
refreshInterval: 1h
secretStoreRef:
name: vault-backend
kind: SecretStore
target:
name: database-credentials
creationPolicy: Owner
data:
- secretKey: username
remoteRef:
key: database/config
property: username
- secretKey: password
remoteRef:
key: database/config
property: password
```
## Secret Scanning
### Pre-commit Hook
```bash
#!/bin/bash
# .git/hooks/pre-commit
# Check for secrets with TruffleHog
docker run --rm -v "$(pwd):/repo" \
trufflesecurity/trufflehog:latest \
filesystem --directory=/repo
if [ $? -ne 0 ]; then
echo "❌ Secret detected! Commit blocked."
exit 1
fi
```
### CI/CD Secret Scanning
```yaml
secret-scan:
stage: security
image: trufflesecurity/trufflehog:latest
script:
- trufflehog filesystem .
allow_failure: false
```
## Reference Files
- `references/vault-setup.md` - HashiCorp Vault configuration
- `references/github-secrets.md` - GitHub Secrets best practices
## Related Skills
- `github-actions-templates` - For GitHub Actions integration
- `gitlab-ci-patterns` - For GitLab CI integration
- `deployment-pipeline-design` - For pipeline architectureRelated Skills
MCP Configuration Management
## Overview
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This skill enables Claude to seamlessly integrate with various secrets managers like HashiCorp Vault and AWS Secrets Manager. It generates configurations and setup code, ensuring best practices for secure credential management. Use this skill when you need to manage sensitive information, generate production-ready configurations, or implement a security-first approach for your DevOps infrastructure. Trigger terms include "integrate secrets manager", "configure Vault", "AWS Secrets Manager setup", "manage credentials securely", or requests for secure configuration generation.
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secrets-manager
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