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Opentofu Migration

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BagelHole
opentofu-migration

Migrate from Terraform to OpenTofu with state compatibility, provider registry setup, and CI/CD pipeline updates. Use when adopting the open-source Terraform fork or evaluating license-free IaC.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill nameopentofu-migration
Stars
1.1K
Forks
161
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Opentofu Migration 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.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/iac/opentofu-migration
  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/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/iac/opentofu-migration .claude/skills/opentofu-migration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Opentofu Migration 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 Opentofu Migration 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 Opentofu Migration 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.

OpenTofu Migration

Migrate infrastructure-as-code from HashiCorp Terraform to the open-source OpenTofu fork.

When to Use This Skill

Use this skill when:

  • Migrating from Terraform to OpenTofu for licensing reasons
  • Setting up a new IaC project and evaluating OpenTofu vs Terraform
  • Updating CI/CD pipelines to use OpenTofu
  • Configuring the OpenTofu provider registry

Prerequisites

  • Existing Terraform codebase (0.13+)
  • OpenTofu CLI installed
  • State backend access (S3, GCS, Azure Blob, etc.)

Install OpenTofu

bash
# macOS
brew install opentofu

# Linux (Debian/Ubuntu)
curl --proto '=https' --tlsv1.2 -fsSL https://get.opentofu.org/install-opentofu.sh \
  -o install-opentofu.sh
chmod +x install-opentofu.sh
./install-opentofu.sh --install-method deb
rm install-opentofu.sh

# Linux (RPM)
./install-opentofu.sh --install-method rpm

# Docker
docker run --rm -v $(pwd):/workspace -w /workspace \
  ghcr.io/opentofu/opentofu:latest init

# Verify installation
tofu --version

Migration Checklist

1. Verify Compatibility

bash
# OpenTofu reads Terraform state files directly — no migration needed
# Check your Terraform version (must be <= 1.6.x for full compat)
terraform version

# Run plan with OpenTofu against existing state
tofu init
tofu plan

2. Replace CLI Commands

TerraformOpenTofu
terraform inittofu init
terraform plantofu plan
terraform applytofu apply
terraform destroytofu destroy
terraform fmttofu fmt
terraform validatetofu validate
terraform statetofu state
terraform importtofu import

3. Update Provider Lock File

bash
# Remove Terraform lock and regenerate for OpenTofu
rm .terraform.lock.hcl
tofu init -upgrade

# Verify providers resolve correctly
tofu providers

4. Update State Backend

State files are compatible — no migration needed. Just verify:

hcl
# backend.tf — works identically with OpenTofu
terraform {
  backend "s3" {
    bucket         = "mycompany-tfstate"
    key            = "prod/infrastructure.tfstate"
    region         = "us-east-1"
    dynamodb_table = "terraform-locks"
    encrypt        = true
  }
}
bash
# Verify state access
tofu init
tofu state list

5. Provider Registry

OpenTofu uses its own registry but mirrors most Terraform providers:

hcl
# versions.tf
terraform {
  required_version = ">= 1.6.0"

  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
    kubernetes = {
      source  = "hashicorp/kubernetes"
      version = "~> 2.25"
    }
    # OpenTofu-specific providers
    random = {
      source  = "hashicorp/random"
      version = "~> 3.6"
    }
  }
}

OpenTofu-Specific Features

State Encryption (Not in Terraform)

hcl
# OpenTofu supports native state encryption
terraform {
  encryption {
    key_provider "pbkdf2" "my_key" {
      passphrase = var.state_passphrase
    }
    method "aes_gcm" "encrypt" {
      keys = key_provider.pbkdf2.my_key
    }
    state {
      method   = method.aes_gcm.encrypt
      enforced = true
    }
    plan {
      method   = method.aes_gcm.encrypt
      enforced = true
    }
  }
}

Early Variable/Local Evaluation

hcl
# OpenTofu allows variables in backend config and module sources
terraform {
  backend "s3" {
    bucket = var.state_bucket  # Works in OpenTofu, not Terraform
    key    = "${var.project}/terraform.tfstate"
    region = var.aws_region
  }
}

CI/CD Pipeline Updates

GitHub Actions

yaml
# .github/workflows/tofu.yml
name: OpenTofu
on:
  pull_request:
    paths: ["infra/**"]
  push:
    branches: [main]
    paths: ["infra/**"]

permissions:
  id-token: write
  contents: read
  pull-requests: write

jobs:
  plan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Setup OpenTofu
        uses: opentofu/setup-opentofu@v1
        with:
          tofu_version: "1.8.0"

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v4
        with:
          role-to-assume: arn:aws:iam::123456789:role/tofu-deploy
          aws-region: us-east-1

      - name: Init
        run: tofu init
        working-directory: infra/

      - name: Plan
        id: plan
        run: tofu plan -no-color -out=tfplan
        working-directory: infra/

      - name: Comment PR with plan
        if: github.event_name == 'pull_request'
        uses: actions/github-script@v7
        with:
          script: |
            const output = `#### OpenTofu Plan
            \`\`\`
            ${{ steps.plan.outputs.stdout }}
            \`\`\``;
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: output.substring(0, 65536)
            });

  apply:
    needs: plan
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: production
    steps:
      - uses: actions/checkout@v4
      - uses: opentofu/setup-opentofu@v1
      - uses: aws-actions/configure-aws-credentials@v4
        with:
          role-to-assume: arn:aws:iam::123456789:role/tofu-deploy
          aws-region: us-east-1
      - run: tofu init && tofu apply -auto-approve
        working-directory: infra/

GitLab CI

yaml
# .gitlab-ci.yml
stages: [validate, plan, apply]

variables:
  TOFU_VERSION: "1.8.0"

.tofu-base:
  image: ghcr.io/opentofu/opentofu:${TOFU_VERSION}
  before_script:
    - tofu init

validate:
  extends: .tofu-base
  stage: validate
  script:
    - tofu fmt -check
    - tofu validate

plan:
  extends: .tofu-base
  stage: plan
  script:
    - tofu plan -out=tfplan
  artifacts:
    paths: [tfplan]

apply:
  extends: .tofu-base
  stage: apply
  script:
    - tofu apply tfplan
  when: manual
  only: [main]
  dependencies: [plan]

Coexistence Strategy

If you need both tools during migration:

bash
# Use aliases to avoid conflicts
alias tf="terraform"
alias tofu="tofu"

# Or use direnv per-project
# .envrc
export PATH="/opt/opentofu/bin:$PATH"

# Wrapper script for gradual migration
#!/bin/bash
if [ -f ".use-opentofu" ]; then
    exec tofu "$@"
else
    exec terraform "$@"
fi

Troubleshooting

IssueSolution
Provider not foundRun tofu init -upgrade, check registry.opentofu.org
State lock conflictSame as Terraform — check DynamoDB/blob lease
Version constraint errorUpdate required_version to >= 1.6.0
Backend migrationState is compatible — just run tofu init
Missing provider credentialsSame env vars work (AWS_*, GOOGLE_*, ARM_*)

Related Skills

Frequently asked questions

What does the Opentofu Migration AI skill do?

Migrate from Terraform to OpenTofu with state compatibility, provider registry setup, and CI/CD pipeline updates. Use when adopting the open-source Terraform fork or evaluating license-free IaC.

Why use Opentofu Migration on TypingMind?

Because you install it once and use it with any model. Opentofu Migration 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 Opentofu Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/iac/opentofu-migration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Opentofu Migration?

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 Opentofu Migration?

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

Is the Opentofu Migration AI skill free?

Yes. It is published on GitHub by BagelHole 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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