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wshobson/agents/plugins/cicd-automation/skills/secrets-management/SKILL.md

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.

Source repository stars
38,313
Declared platforms
0
Static risk flags
2
Last source update
2026-07-22
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.

Best for

  • Store API keys and credentials
  • Manage database passwords
  • Handle TLS certificates

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/wshobson/agents --skill "plugins/cicd-automation/skills/secrets-management"
Safe inspection promptEditorial

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

What the source asks the agent to do

  1. 01

    Setup Vault

    Review the “Setup Vault” section in the pinned source before continuing.

    Review and apply the “Setup Vault” source section.
  2. 02

    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

    Generate new secretUpdate secret in secret storeUpdate applications to use new secret
  3. 03

    Purpose

    Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.

    Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.
  4. 04

    When to Use

    Store API keys and credentials

    Store API keys and credentialsManage database passwordsHandle TLS certificates
  5. 05

    Secrets Management Tools

    Centralized secrets management

    Centralized secrets managementDynamic secrets generationSecret rotation

Permission review

Static risk signals and limitations

Network access

medium · line 56

The documentation includes network, browsing, or remote request actions.

export VAULT_ADDR='http://127.0.0.1:8200'

Network access

medium · line 82

The documentation includes network, browsing, or remote request actions.

url: https://vault.example.com:8200

Runs scripts

medium · line 322

The documentation asks the agent to run terminal commands or scripts.

docker run --rm -v "$(pwd):/repo" \

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score83/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars38,313SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
wshobson/agents
Skill path
plugins/cicd-automation/skills/secrets-management/SKILL.md
Commit
c4b82b0ad771190355eb8e204b1329732a18449a
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

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

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

  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: 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 integration
  • gitlab-ci-patterns - For GitLab CI integration
  • deployment-pipeline-design - For pipeline architecture

Alternatives

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