An operations guide for Terraform and OpenTofu, tools that describe and manage cloud and other infrastructure as code. It covers the full lifecycle from planning changes to managing state and diagnosing failures.

It is for inspecting and running plans, applies, imports, state operations, upgrades, refactors, drift checks, and backend configuration.

It helps reduce accidental infrastructure changes by checking configuration, state, locks, drift, and the proposed plan before applying it.

terraform — Skill for Claude Code and Codex by magnus919/agent-skills

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 magnus919/agent-skills --skill terraform

Clone the repo

git clone --depth 1 https://github.com/magnus919/agent-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin terraform — /plugin install terraform after adding the marketplace above.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/magnus919/agent-skills/terraform/github.svg)](https://agentmods.dev/skills/magnus919/agent-skills/terraform)

Your own site

<a href="https://agentmods.dev/skills/magnus919/agent-skills/terraform"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/terraform/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/magnus919/agent-skills/terraform"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/terraform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,778 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Memory Poisoning · line 95
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
high Memory Poisoning · line 139
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
medium Excessive Agency · line 76
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
medium Excessive Agency · line 140
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00096	$0.02778
Opus 5.5	$0.00038	$0.01111
Sonnet 5.5	$0.00019	$0.00556
Haiku 4.5	$0.00010	$0.00278

Measured 22d ago against content hash c26e9587c1ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

terraform 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 22d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test_tfops.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

terraform/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Terraform / OpenTofu Operations

Use this skill to run, inspect, and repair Terraform and OpenTofu infrastructure safely: understand a module graph, verify state backends and locking, review plans before applies, find and fix drift, work with remote state, plan version upgrades and refactors, and diagnose failures with evidence. This is a tool skill for one named tool (Terraform and its drop-in OpenTofu fork share one agent workflow and one trigger). Design decisions and IaC methodology belong to platform-engineering and its references/infrastructure-as-code.md; this skill owns execution.

Operating contract

Discover before assuming. Read the module layout, provider requirements, backend block, workspaces, terraform.lock.hcl, and CI invocation before running anything. Never infer state from a config file — the state file is the source of truth for what exists.
Plan first, apply after review. Every mutation goes through a visible plan (or tfops dry-run) and an explicit confirmation. Never run apply with unreviewed changes.
Lock and scope state. Confirm the backend supports locking and that the operator holds the lock before any state mutation. State surgery (state mv, state rm, state push) is a reviewed, scoped operation with a backup.
Verify at the boundary. A green apply is not proof of success: verify the external boundary (DNS, load balancer, API response) that the resource was supposed to satisfy, and check for drift on the next plan.
Keep evidence bounded. Never dump raw state files, backend credentials, or provider secrets into chat. tfops redacts nothing by itself but all outputs should be bounded summaries.

The tfops script

scripts/tfops is an agent-first wrapper around the terraform/tofu CLI. It works without a terraform binary for --help, doctor, and direct --state analysis, so an agent can inventory a state file anywhere.

scripts/tfops doctor --json                 # binary, config, backend, state availability
scripts/tfops state --state state.json --json   # inspect a local state file directly
scripts/tfops plan --state state.json --json    # state-level plan summary (no binary needed)
scripts/tfops plan --json                   # full plan via terraform plan -json
scripts/tfops apply --dry-run --json        # preview only, never mutates
scripts/tfops plan --save-plan reviewed.tfplan --json
# Review reviewed.tfplan, then apply that same file
scripts/tfops apply --yes --plan reviewed.tfplan --json
scripts/tfops apply --yes --plan reviewed.tfplan --force --json  # bypass findings only after review
scripts/tfops import aws_instance.web i-0abc --dry-run

Read the full file on GitHub · 150 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

22d ago Changed · +2 lines c26e9587c1ac
1mo ago First seen · 148 lines · 96 tokens per session scan A 24094503d85e

Subscribe to this mod's changes

terraform is a skill published in the GitHub repository magnus919/agent-skills (154 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 2,778 once invoked, about $0.0004 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 2026-09-03.

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cocoharvest

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Snowflake-Labs/cocoplus · 53 tokens

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cocotrace

Build and query the SHA-256 requirements-to-implementation traceability graph across lifecycle artifacts.

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cocoscout

Relevance-ranked context loading — Tier 2 async subagent (Haiku, <5s) that fires after Tier 1 deterministic checks in UserPromptSubmit. Injects ranked context from CocoGrove, CocoContext, Environment Inspector, Prompt Studio, and CocoDream.

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