Best for
- Store API keys and credentials
- Manage database passwords
- Handle TLS certificates
wshobson/agents/plugins/cicd-automation/skills/secrets-management/SKILL.md
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.
Decision brief
Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/wshobson/agents --skill "plugins/cicd-automation/skills/secrets-management"Inspect the Agent Skill "secrets-management" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/cicd-automation/skills/secrets-management/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Review the “Setup Vault” section in the pinned source before continuing.
1. Generate new secret 2. Update secret in secret store 3. Update applications to use new secret 4. Verify functionality 5. Revoke old secret
Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.
Store API keys and credentials
Centralized secrets management
Permission review
The documentation includes network, browsing, or remote request actions.
export VAULT_ADDR='http://127.0.0.1:8200'The documentation includes network, browsing, or remote request actions.
url: https://vault.example.com:8200The documentation asks the agent to run terminal commands or scripts.
docker run --rm -v "$(pwd):/repo" \Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 83/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 38,313 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.
Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.
# 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
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, $API_KEY
deploy:
image: vault:1.17
before_script:
- export VAULT_ADDR=https://vault.example.com:8200
- export VAULT_TOKEN=$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 secretsmanager create-secret \
--name production/database/password \
--secret-string "super-secret-password"
- 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
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"]
}
- 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
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
deploy:
script:
- echo "Deploying with $API_KEY"
- echo "Database: $DATABASE_URL"
import boto3
import json
def lambda_handler(event, context):
client = boto3.client('secretsmanager')
# Get current secret
response = client.get_secret_value(SecretId='my-secret')
current_secret = json.loads(response['SecretString'])
# Generate new password
new_password = generate_strong_password()
# Update database password
update_database_password(new_password)
# Update secret
client.put_secret_value(
SecretId='my-secret',
SecretString=json.dumps({
'username': current_secret['username'],
'password': new_password
})
)
return {'statusCode': 200}
apiVersion: external-secrets.io/v1beta1
kind: SecretStore
metadata:
name: vault-backend
namespace: production
spec:
provider:
vault:
server: "https://vault.example.com:8200"
path: "secret"
version: "v2"
auth:
kubernetes:
mountPath: "kubernetes"
role: "production"
---
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: database-credentials
namespace: production
spec:
refreshInterval: 1h
secretStoreRef:
name: vault-backend
kind: SecretStore
target:
name: database-credentials
creationPolicy: Owner
data:
- secretKey: username
remoteRef:
key: database/config
property: username
- secretKey: password
remoteRef:
key: database/config
property: password
#!/bin/bash
# .git/hooks/pre-commit
# Check for secrets with TruffleHog
docker run --rm -v "$(pwd):/repo" \
trufflesecurity/trufflehog:3.88 \
filesystem --directory=/repo
if [ $? -ne 0 ]; then
echo "❌ Secret detected! Commit blocked."
exit 1
fi
secret-scan:
stage: security
image: trufflesecurity/trufflehog:3.88
script:
- trufflehog filesystem .
allow_failure: false
github-actions-templates - For GitHub Actions integrationgitlab-ci-patterns - For GitLab CI integrationdeployment-pipeline-design - For pipeline architectureAlternatives