secrets-management
π―SkillShows how to keep passwords, API keys and other secrets safe in automated build and release pipelines. It covers storing them in secure vaults, changing them regularly, and catching secrets before they get into your code.
Installation
npx skills add wshobson/agents --skill secrets-managementRun it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).
Uses skills.sh Β· Node.js 22.20+
After installing
Ask for related work and the agent uses it on its own, or call it yourself.
/secrets-managementInstall by hand
Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.
Open the skill folder β- This project
.claude/skills/secrets-management/ - All projects
~/.claude/skills/secrets-management/
These paths are for Claude Code. For other tools, the command above puts it in the right place.
What this skill does
Overview
This skill helps you protect secrets, such as passwords and API keys, in CI/CD pipelines. CI/CD pipelines are automated steps that test and release your code. The skill shows how to keep secrets out of your code and load them safely only when needed.
Key Features
- Store and read secrets with tools like HashiCorp Vault, AWS Secrets Manager, Azure Key Vault or Google Secret Manager.
- Pass secrets into GitHub Actions and GitLab CI jobs without printing them in logs.
- Change passwords automatically on a schedule, or follow a simple manual checklist.
- Send secrets from a vault into Kubernetes, a system that runs apps in containers.
- Block commits that contain secrets by scanning them with TruffleHog.
Who is this for?
This is for developers and DevOps teams who set up automated deployments. It helps anyone who wants to stop passwords from leaking into code or logs.
Summarized by AI from this skill's SKILL.md. Suggest a better one
SKILL.md
View on GitHub βImplement 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.
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.
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
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 β never print them to logs
./deploy.sh
Environment Secrets
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- name: Deploy
env:
PROD_API_KEY: ${{ secrets.PROD_API_KEY }}
run: |
# Secret injected as env var β never print to logs
./deploy.sh
GitLab CI/CD Variables
Project Variables
deploy:
script:
# Fail if a variable is missing, but never print its value
- test -n "$API_KEY" || { echo "API_KEY is not set"; exit 1; }
- test -n "$DATABASE_URL" || { echo "DATABASE_URL is not set"; exit 1; }
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 "β 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
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