Atlas / Skills / wshobson / Secrets Management

Secrets ManagementSAFE

skills/wshobson/secrets-management

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
40,124
01

Overview

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Read from source at commit adb71e0b2512OBSERVED · 2026-10-01
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: secrets-management
description: 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.
---

# 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

```bash
# 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

```yaml
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

```yaml
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

```bash
aws secretsmanager create-secret \
  --name production/database/password \
  --secret-string "super-secret-password"
```

### Retrieve in GitHub Actions

```yaml
- 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

```hcl
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

```yaml
- 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

```yaml
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
```

## GitLab CI/CD Variables

### Project Variables

```yaml
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

```python
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

### Ku
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (2)

MEDIUMNetwork egress · net.raw_ip · CWE-200, CWE-319
SKILL.md:61
export VAULT_ADDR='http://127.0.0.1:8200'
LOWInventory / provenance · inv.symlink · CWE-1104
CLAUDE.md
CLAUDE.md
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-01 · audit v0.4.1 · source sha adb71e0b2512full audit observations/trust-audit/skill/wshobson__secrets-management.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-01adb71e0b2512SAFEB89first audit
05

Questions

What does the Secrets Management skill do?

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Is Secrets Management safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Secrets Management access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (adb71e0b2512), read on 2026-10-01. The repository is watched, and a new audit runs when it changes — this is the first audit.

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