Identify false-positive diffs in Terraform AzureRM plans caused by Set-type attribute ordering.
Works with
Analyzes terraform plan JSON output to distinguish spurious diffs (element reordering in Sets) from actual resource changes
Targets AzureRM resources with Set-type attributes: Application Gateway, Load Balancer, NSG, Firewall, Front Door, and others
Requires Python 3.8+ and uses only standard library; integrates into CI/CD pipelines with configurable output formats and exit codes
Helps
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionterraform-azurerm-set-diff-analyzerExecute the skills CLI command in your project's root directory to begin installation:
Fetches terraform-azurerm-set-diff-analyzer from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate terraform-azurerm-set-diff-analyzer. Access via /terraform-azurerm-set-diff-analyzer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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A skill to identify "false-positive diffs" in Terraform plans caused by AzureRM Provider's Set-type attributes and distinguish them from actual changes.
terraform plan shows many changes, but you only added/removed a single elementTerraform's Set type compares by position rather than by key, so when adding or removing elements, all elements appear as "changed". This is a general Terraform issue, but it's particularly noticeable with AzureRM resources that heavily use Set-type attributes like Application Gateway, Load Balancer, and NSG.
These "false-positive diffs" don't actually affect the resources, but they make reviewing terraform plan output difficult.
If Python is unavailable, install via your package manager (e.g., apt install python3, brew install python3) or from python.org.
# 1. Generate plan JSON output
terraform plan -out=plan.tfplan
terraform show -json plan.tfplan > plan.json
# 2. Analyze
python scripts/analyze_plan.py plan.json
python: command not found: Use python3 instead, or install PythonModuleNotFoundError: Script uses only standard library; ensure Python 3.8+Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
github/awesome-copilot
Registry listing for terraform-azurerm-set-diff-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
terraform-azurerm-set-diff-analyzer has been reliable in day-to-day use. Documentation quality is above average for community skills.
terraform-azurerm-set-diff-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
terraform-azurerm-set-diff-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
terraform-azurerm-set-diff-analyzer has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added terraform-azurerm-set-diff-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: terraform-azurerm-set-diff-analyzer is focused, and the summary matches what you get after install.
Useful defaults in terraform-azurerm-set-diff-analyzer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added terraform-azurerm-set-diff-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added terraform-azurerm-set-diff-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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