secrets-management – DevOps & Infrastructure skill for AI agents
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.
Install the secrets-management skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/secrets-management-42ce3.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /secrets-management – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/secrets-management-42ce3.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $secrets-management – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/secrets-management-42ce3.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /secrets-management – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/secrets-management-42ce3.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /secrets-management – then describe the task you want done.
SKILL.md content
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=secretGitHub 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, $API_KEYGitLab CI with Vault
deploy:
image: vault:1.17
before_script:
- export VAULT_ADDR=https://vault.example.com:8200
- export VAULT_TOKEN=$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_KEYAWS 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.shTerraform 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.shEnvironment Secrets
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- name: Deploy
env:
PROD_API_KEY: ${{ secrets.PROD_API_KEY }}
run: |
# Secret injected as env var — never print to logs
./deploy.shGitLab CI/CD Variables
Project Variables
deploy:
script:
# Fail if a variable is missing, but never print its value
- test -n "$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
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
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
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: passwordSecret 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
fiCI/CD Secret Scanning
secret-scan:
stage: security
image: trufflesecurity/trufflehog:3.88
script:
- trufflehog filesystem .
allow_failure: falseRelated Skills
github-actions-templates- For GitHub Actions integrationgitlab-ci-patterns- For GitLab CI integrationdeployment-pipeline-design- For pipeline architecture
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