
Secrets Management
FreeSecurely manage secrets in CI/CD pipelines.
Free · Opens the source repo
What Secrets Management does
The Secrets Management skill provides a robust framework for implementing secure secrets management practices in CI/CD pipelines. It enables developers to handle sensitive information, such as API keys, database passwords, and TLS certificates, without hardcoding them into the codebase. This skill integrates with popular secrets management tools like HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, and Google Secret Manager, offering a variety of options depending on your cloud infrastructure.
With this skill, you can automate the rotation of secrets, ensuring that sensitive credentials are updated regularly to minimize security risks. It also facilitates the implementation of least-privilege access, allowing you to control who can access specific secrets. The skill provides practical examples of how to set up and use these tools in various CI/CD environments, including GitHub Actions and GitLab CI, making it easier for teams to adopt secure practices.
This skill is particularly useful for DevOps teams and developers who are responsible for deploying applications in cloud environments. By integrating secrets management into your CI/CD workflows, you can enhance the security posture of your applications and reduce the likelihood of accidental exposure of sensitive information. The provided code snippets and configuration examples help streamline the setup process, allowing teams to focus on building and deploying software securely.
Overall, the Secrets Management skill is an essential tool for anyone looking to implement secure practices in their software development lifecycle, ensuring that sensitive information is handled appropriately and securely.
When to use it
Use this skill when managing sensitive credentials, such as API keys and database passwords, in your CI/CD workflows.
When not to use it
This skill may not be suitable if your projects do not involve handling sensitive information or if you are using a simpler deployment process without secrets management needs.
What you can build with it
Storing API Keys
Use this skill to securely store and manage API keys required for your application, ensuring they are not exposed in your codebase.
Managing Database Passwords
Implement secure practices for handling database passwords in your CI/CD pipelines, reducing the risk of unauthorized access.
Automating Secret Rotation
Set up automated secret rotation processes to ensure that sensitive credentials are regularly updated and managed securely.
How to install Secrets Management
View source1. Install with the skills CLI
npx skills add wshobson/agents/secrets-management --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by wshobsonSecrets 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.
When to Use
- Store API keys and credentials
- Manage database passwords
- Handle TLS certificates
- Rotate secrets automatically
- Implement least-privilege access
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
# 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
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, $API_KEY
GitLab CI with Vault
deploy:
image: vault:1.17
before_script:
- export VAULT_ADDR=https://vault.example.com:8200
- export VAULT_TOKEN=$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
aws secretsmanager create-secret \
--name production/database/password \
--secret-string "super-secret-password"
Retrieve in GitHub Actions
- 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
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
- name: Use GitHub secret
env:
API_KEY: ${{ secrets.API_KEY }}
DATABASE_URL: ${{ secrets.DATABASE_URL }}
run: |
# Secrets are injected as env vars — never print them to logs
./deploy.sh
Environment Secrets
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- name: Deploy
env:
PROD_API_KEY: ${{ secrets.PROD_API_KEY }}
run: |
# Secret injected as env var — never print to logs
./deploy.sh
Reference: See references/github-secrets.md
GitLab CI/CD Variables
Project Variables
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
- Never commit secrets to Git
- Use different secrets per environment
- Rotate secrets regularly
- Implement least-privilege access
- Enable audit logging
- Use secret scanning (GitGuardian, TruffleHog)
- Mask secrets in logs
- Encrypt secrets at rest
- Use short-lived tokens when possible
- Document secret requirements
Secret Rotation
Automated Rotation with AWS
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
- Generate new secret
- Update secret in secret store
- Update applications to use new secret
- Verify functionality
- Revoke old secret
External Secrets Operator
Kubernetes Integration
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
#!/bin/bash
# .git/hooks/pre-commit
# Check for secrets with TruffleHog
docker run --rm -v "$(pwd):/repo" \
trufflesecurity/trufflehog:3.88 \
filesystem --directory=/repo
if [ $? -ne 0 ]; then
echo "❌ Secret detected! Commit blocked."
exit 1
fi
CI/CD Secret Scanning
secret-scan:
stage: security
image: trufflesecurity/trufflehog:3.88
script:
- trufflehog filesystem .
allow_failure: false
Related Skills
github-actions-templates- For GitHub Actions integrationgitlab-ci-patterns- For GitLab CI integrationdeployment-pipeline-design- For pipeline architecture
Frequently asked questions about Secrets Management
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