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Managing Secrets

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ancoleman
managing-secrets

Managing secrets (API keys, database credentials, certificates) with Vault, cloud providers, and Kubernetes. Use when storing sensitive data, rotating credentials, syncing secrets to Kubernetes, implementing dynamic secrets, or scanning code for leaked secrets.

Overview

Publisherancoleman
Repositoryai-design-components
Skill namemanaging-secrets
Stars
523
Forks
73
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ancoleman on GitHub. Read the source before you install it.

Installation

Install the Managing Secrets AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ancoleman/ai-design-components.git /tmp/ai-design-components
mkdir -p .claude/skills
cp -r /tmp/ai-design-components/skills/secret-management .claude/skills/managing-secrets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Managing Secrets in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Managing Secrets on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Managing Secrets is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Managing Secrets

Secure storage, rotation, and delivery of secrets (API keys, database credentials, TLS certificates) for applications and infrastructure.

When to Use This Skill

Use when:

  • Storing API keys, database credentials, or encryption keys
  • Implementing secret rotation (manual or automatic)
  • Syncing secrets from external stores to Kubernetes
  • Setting up dynamic secrets (database, cloud providers)
  • Scanning code for leaked secrets
  • Implementing zero-knowledge patterns
  • Meeting compliance requirements (SOC 2, ISO 27001, PCI DSS)

Quick Decision Frameworks

Framework 1: Choosing a Secret Store

ScenarioPrimary ChoiceAlternative
Kubernetes + Multi-CloudVault + ESOCloud Secret Manager + ESO
Kubernetes + Single CloudCloud Secret Manager + ESOVault + ESO
Serverless (AWS Lambda)AWS Secrets ManagerAWS Parameter Store
Multi-Cloud EnterpriseHashiCorp VaultDoppler (SaaS)
Small Team (<10 apps)Doppler, Infisical1Password Secrets Automation
GitOps-CentricSOPS (git-encrypted)Sealed Secrets (K8s-only)

Decision Tree:

  • Kubernetes? → External Secrets Operator (ESO) with chosen backend
  • Single cloud? → Cloud-native (AWS/GCP/Azure)
  • Multi-cloud/on-prem? → HashiCorp Vault
  • GitOps? → SOPS or Sealed Secrets

Framework 2: Static vs. Dynamic Secrets

Secret TypeUse Dynamic?TTLSolution
Database credentialsYES1 hourVault DB engine
Cloud IAM (AWS/GCP)YES15 minVault cloud engine
SSH/RDP accessYES5 minVault SSH engine
TLS certificatesYES24 hoursVault PKI / cert-manager
Third-party API keysNOQuarterlyVault KV v2 (manual rotation)

Framework 3: Kubernetes Secret Delivery

MethodUse CaseRotationRestart Required
External Secrets OperatorStatic secrets, periodic syncPolling (1h)Yes
Secrets Store CSI DriverFile-based, watch rotationinotifyNo
Vault Secrets OperatorVault-specific, dynamicAutomatic renewalOptional

HashiCorp Vault Fundamentals

Core Components

  • Secrets Engines: KV v2 (static), Database (dynamic), AWS, PKI, SSH
  • Auth Methods: Kubernetes, JWT/OIDC, AppRole, LDAP
  • Policies: HCL-based access control (least privilege)
  • Leases: TTL for secrets, auto-renewal, auto-revocation

Static Secrets (KV v2)

bash
# Create secret
vault kv put secret/myapp/config api_key=sk_live_EXAMPLE

# Read secret
vault kv get secret/myapp/config

# List versions
vault kv metadata get secret/myapp/config

Dynamic Database Credentials

bash
# Configure PostgreSQL
vault write database/config/postgres \
  plugin_name=postgresql-database-plugin \
  connection_url="postgresql://{{username}}:{{password}}@postgres:5432/mydb"

# Create role
vault write database/roles/app-role \
  db_name=postgres \
  creation_statements="CREATE ROLE \"{{name}}\"..." \
  default_ttl="1h"

# Generate credentials
vault read database/creds/app-role

For detailed Vault architecture, see references/vault-architecture.md.

Kubernetes Integration

External Secrets Operator (ESO)

Syncs secrets from 30+ providers to Kubernetes Secrets.

yaml
apiVersion: external-secrets.io/v1beta1
kind: SecretStore
metadata:
  name: vault-backend
spec:
  provider:
    vault:
      server: "https://vault.example.com"
      auth:
        kubernetes:
          role: "app-role"
yaml
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
  name: database-credentials
spec:
  refreshInterval: 1h
  secretStoreRef:
    name: vault-backend
  target:
    name: db-credentials
  data:
  - secretKey: password
    remoteRef:
      key: secret/data/database/config

Vault Secrets Operator (VSO)

Kubernetes-native Vault integration with automatic lease renewal.

yaml
apiVersion: secrets.hashicorp.com/v1beta1
kind: VaultDynamicSecret
metadata:
  name: postgres-creds
spec:
  vaultAuthRef: vault-auth
  mount: database
  path: creds/app-role
  renewalPercent: 67  # Renew at 67% of TTL
  destination:
    name: dynamic-db-creds

For ESO vs CSI vs VSO comparison, see references/kubernetes-integration.md.

Secret Rotation Patterns

Pattern 1: Versioned Static Secrets (Blue/Green)

  1. Create new secret version in Vault
  2. Update staging environment
  3. Monitor for errors (24-48 hours)
  4. Gradual production rollout (10% → 50% → 100%)
  5. Revoke old secret (after 7 days)

Pattern 2: Dynamic Database Credentials

Vault auto-generates credentials with short TTL:

  • App fetches credentials from Vault
  • Vault automatically renews lease (at 67% of TTL)
  • On expiration, Vault revokes access
  • On renewal failure, app requests new credentials

Pattern 3: TLS Certificate Rotation

Using cert-manager + Vault PKI:

  • cert-manager requests certificate from Vault
  • Automatically renews before expiration (default: 67% of duration)
  • Updates Kubernetes Secret on renewal
  • Optional pod restart (via Reloader)

For detailed rotation workflows, see references/rotation-patterns.md.

Multi-Language Integration

Python (hvac)

python
import hvac

client = hvac.Client(url='https://vault.example.com')
client.auth.kubernetes(role='app-role', jwt=jwt)

# Fetch dynamic credentials
response = client.secrets.database.generate_credentials(name='postgres-role')
username = response['data']['username']
password = response['data']['password']

Go (Vault API)

go
import vault "github.com/hashicorp/vault/api"

client, _ := vault.NewClient(vault.DefaultConfig())
k8sAuth, _ := auth.NewKubernetesAuth("app-role")
client.Auth().Login(context.Background(), k8sAuth)

secret, _ := client.Logical().Read("database/creds/postgres-role")

TypeScript (node-vault)

typescript
import vault from 'node-vault';

const client = vault({ endpoint: 'https://vault.example.com' });
await client.kubernetesLogin({ role: 'app-role', jwt });

const response = await client.read('database/creds/postgres-role');

For complete examples, see examples/dynamic-db-credentials/.

Secret Scanning

Pre-Commit Hooks (Gitleaks)

bash
# Install Gitleaks
brew install gitleaks

# Run on staged files
gitleaks protect --staged --verbose

Pre-commit hook prevents secrets from being committed. For setup, see examples/secret-scanning/pre-commit.

CI/CD Integration

yaml
# GitHub Actions
- name: Run Gitleaks
  uses: gitleaks/gitleaks-action@v2

Remediation Workflow

When a secret is leaked:

  1. Rotate immediately (within 1 hour)
  2. Revoke at provider
  3. Remove from Git history (BFG Repo-Cleaner)
  4. Force push (notify team)
  5. Audit access (who had access during leak window)
  6. Document incident

For detailed remediation, see references/secret-scanning.md.

Zero-Knowledge Patterns

Client-Side Encryption (E2EE)

User password → PBKDF2 → encryption key → encrypt secret → send to server

Server stores only encrypted blobs (cannot decrypt).

Shamir's Secret Sharing

Split secret into N shares, require M to reconstruct (e.g., 3 of 5).

bash
# Initialize Vault with Shamir shares
vault operator init -key-shares=5 -key-threshold=3

# Unseal requires 3 of 5 key shares
vault operator unseal <KEY_1>
vault operator unseal <KEY_2>
vault operator unseal <KEY_3>

For implementations, see references/zero-knowledge.md.

Library Recommendations (2025)

Secret Stores

LibraryUse CaseTrust Score
HashiCorp VaultEnterprise, multi-cloudHigh (73.3/100)
External Secrets OperatorKubernetes integrationHigh (85.0/100)
AWS Secrets ManagerAWS workloadsHigh
GCP Secret ManagerGCP workloadsHigh
Azure Key VaultAzure workloadsHigh

Secret Scanning

LibraryUse CaseTrust Score
GitleaksPre-commit, CI/CDHigh (89.9/100)
TruffleHogGit history scanningMedium

Client Libraries

LanguageLibraryVersion
Pythonhvac2.2.0+
Govault/apiLatest
TypeScriptnode-vault0.10.2+
Rustvaultrs0.7+

Common Workflows

Workflow 1: Vault + ESO on Kubernetes

  1. Install Vault (Helm chart)
  2. Initialize and unseal Vault
  3. Enable Kubernetes auth
  4. Install External Secrets Operator
  5. Create SecretStore (Vault connection)
  6. Create ExternalSecret (secret mapping)

For step-by-step guide, see examples/vault-eso-setup/.

Workflow 2: Dynamic Database Credentials

  1. Enable database secrets engine
  2. Configure database connection
  3. Create role with TTL
  4. App fetches credentials
  5. Vault auto-renews lease

For implementation, see examples/dynamic-db-credentials/.

Workflow 3: Secret Scanning Remediation

  1. Gitleaks detects secret
  2. Block commit (pre-commit hook)
  3. Developer removes secret
  4. Developer stores in Vault
  5. Developer references Vault path

For setup, see examples/secret-scanning/.

Integration with Related Skills

  • auth-security: OAuth client secrets, JWT signing keys
  • databases-*: Dynamic database credentials
  • deploying-applications: Container registry credentials
  • observability: Grafana/Datadog API keys
  • infrastructure-as-code: Cloud provider credentials

Security Best Practices

  1. Never commit secrets to Git (use Gitleaks pre-commit hook)
  2. Use dynamic secrets where possible
  3. Rotate secrets regularly (quarterly for static, hourly for dynamic)
  4. Implement least privilege (Vault policies, RBAC)
  5. Enable audit logging
  6. Encrypt at rest (Vault storage, etcd encryption)
  7. Use short TTLs (< 24 hours for dynamic secrets)
  8. Monitor failed access attempts

Common Pitfalls

Secrets in Environment Variables

Environment variables visible in process lists. Solution: Use file-based secrets (Kubernetes volumes, CSI driver).

Hardcoded Secrets in Manifests

Base64 is not encryption. Solution: Use External Secrets Operator.

No Secret Rotation

Stale credentials increase breach risk. Solution: Use dynamic secrets or automate rotation.

Root Token in Production

Unlimited permissions. Solution: Use auth methods with least privilege policies.

For Detailed Information, See

  • references/vault-architecture.md - Vault internals, HA setup, policies
  • references/kubernetes-integration.md - ESO, CSI driver, VSO comparison
  • references/rotation-patterns.md - Detailed rotation workflows
  • references/secret-scanning.md - Gitleaks, remediation procedures
  • references/zero-knowledge.md - E2EE, Shamir's secret sharing
  • references/cloud-providers.md - AWS, GCP, Azure secret managers
  • examples/vault-eso-setup/ - Complete Kubernetes setup
  • examples/dynamic-db-credentials/ - Multi-language examples
  • examples/secret-scanning/ - Pre-commit hooks, CI/CD
  • scripts/setup_vault.sh - Automated Vault installation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Managing Secrets AI skill do?

Managing secrets (API keys, database credentials, certificates) with Vault, cloud providers, and Kubernetes. Use when storing sensitive data, rotating credentials, syncing secrets to Kubernetes, implementing dynamic secrets, or scanning code for leaked secrets.

Why use Managing Secrets on TypingMind?

Because you install it once and use it with any model. Managing Secrets is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Managing Secrets in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ancoleman/ai-design-components/tree/main/skills/secret-management. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Managing Secrets?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Managing Secrets?

As many as you like. As long as a model supports skills, you can use Managing Secrets with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Managing Secrets AI skill free?

Yes. It is published on GitHub by ancoleman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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