infra-apply

infra-apply is a skill for Claude Code from makigjuro/cloudstack-ai-plugins. It costs 34 tokens per session (945 once invoked), scanned A, original, MIT.

An infrastructure deployment helper for Terraform, a tool that defines cloud resources as code. It creates a change preview and can optionally apply the approved changes to a selected environment or module.

In plain words
What is it for?
Use it to preview or deploy changes in environments such as development, staging, or production. It can work with individual modules or all modules and supports Terragrunt, a wrapper that coordinates Terraform configurations.
Why use it?
It shows what will change before anything is deployed, reducing the risk of unexpected infrastructure updates.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the cloud-infra plugin — 8 skills, 1 agent shipped together

Good fit Use it to preview or deploy changes in environments such as development, staging, or production. It can work with individual modules or all modules and supports Terragrunt, a wrapper that coordinates Terraform configurations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/makigjuro/cloudstack-ai-plugins/infra-apply
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add makigjuro/cloudstack-ai-plugins --skill infra-apply
Clone the repo
git clone --depth 1 https://github.com/makigjuro/cloudstack-ai-plugins

Made for: Claude Code.

Or install cloud-infra, the plugin that ships this one along with the rest of its 8 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for infra-apply

README.md
[![agentmods](https://agentmods.dev/badge/skills/makigjuro/cloudstack-ai-plugins/infra-apply/github.svg)](https://agentmods.dev/skills/makigjuro/cloudstack-ai-plugins/infra-apply)
Your own site
<a href="https://agentmods.dev/skills/makigjuro/cloudstack-ai-plugins/infra-apply"><img src="https://agentmods.dev/badge/skills/makigjuro/cloudstack-ai-plugins/infra-apply/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for infra-apply

Your own site · 80×15
<a href="https://agentmods.dev/skills/makigjuro/cloudstack-ai-plugins/infra-apply"><img src="https://agentmods.dev/badge/skills/makigjuro/cloudstack-ai-plugins/infra-apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 945 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00945
Opus 5.5 $0.00014 $0.00378
Sonnet 5.5 $0.00007 $0.00189
Haiku 4.5 $0.00003 $0.00094

Measured 5d ago against content hash cce4eebf23ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

infra-apply scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/cloud-infra/skills/infra-apply/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Infrastructure Apply

Generate a Terraform plan for review. Optionally apply after user confirmation.

Arguments

  • {environment} — Target environment (e.g., dev, staging, prod). Default: dev
  • {module} — Specific module to plan (e.g., aks-cluster, postgresql). If omitted, plan all.
  • --apply — Apply after showing the plan (requires explicit user confirmation)

Configuration

Read cloudstack.json from the project root at the start of execution. Extract:

  • TF_PATH = infrastructure.terraformPath (default: infra/terraform/modules)
  • TG_PATH = infrastructure.terragruntPath (default: infra/terragrunt)
  • IAC_WRAPPER = infrastructure.iacWrapper (default: none)

If cloudstack.json does not exist, auto-detect by scanning the project structure.

Process

Step 1: Validate First

Run /infra-lint terraform to ensure all modules are valid before planning.

Step 2: Generate Plan

If IAC_WRAPPER = terragrunt:

Single module:

cd {TG_PATH}/{environment}/{module}
terragrunt plan -out=tfplan

All modules:

cd {TG_PATH}/{environment}
terragrunt run --all plan -out=tfplan

With run --all, the tfplan file is written separately inside each module's directory (or its .terragrunt-cache working dir).

If IAC_WRAPPER = none (plain Terraform):

Single module:

cd {TF_PATH}/{module}
terraform plan -var="environment={environment}" -out=tfplan

All modules — iterate over each module directory:

for dir in {TF_PATH}/*/; do
  echo "=== Planning $(basename $dir) ==="
  terraform -chdir="$dir" plan -var="environment={environment}" -out=tfplan
done

Note: With plain Terraform, you may need to pass additional -var-file or -backend-config flags depending on the project setup. Check for {environment}.tfvars files.

Step 3: Review Plan Output

Display the plan summary:

  • Resources to add
  • Resources to change
  • Resources to destroy

CRITICAL: If any resources will be destroyed, highlight this prominently and require explicit user confirmation before proceeding.

Read the full file on GitHub · 120 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · +5 lines cce4eebf23ff
  2. 1mo ago First seen · 115 lines · 34 tokens per session scan A 557b46097d5b

Subscribe to this mod's changes

infra-apply is a skill published in the GitHub repository makigjuro/cloudstack-ai-plugins (1 stars, last pushed 5d ago), licensed MIT. It adds 34 tokens to every session and 945 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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