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.
npx skills add magnus919/agent-skills --skill terraformgit clone --depth 1 https://github.com/magnus919/agent-skillsWrote 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.
[](https://agentmods.dev/skills/magnus919/agent-skills/terraform)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.02536 |
| Opus 5 | $0.00048 | $0.01268 |
| Sonnet 5 | $0.00019 | $0.00507 |
| Haiku 4.5 | $0.00010 | $0.00254 |
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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 148 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
tfopsdry-run) and an explicit confirmation. Never runapplywith 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
applyis 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.
tfopsredacts 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 apply --yes --json # mutation: requires --yes
scripts/tfops apply --yes --force --json # bypass the taint/drift guard after review
scripts/tfops import aws_instance.web i-0abc --dry-run
What ships with it
13 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.
- evals/evals.json 9.2 KB
- README.md 2.9 KB
- references/00-source-index.md 2.6 KB
- references/01-modules-and-structure.md 2.4 KB
- references/02-state-and-backends.md 3.0 KB
- references/03-plan-apply-workflow.md 2.8 KB
- references/04-drift-detection.md 2.7 KB
- references/05-remote-state-and-collaboration.md 2.3 KB
- references/06-upgrades-and-refactors.md 2.9 KB
- references/07-diagnostics.md 3.2 KB
- scripts/tfops 16 KB
- tests/fixtures/fixture-state.json 1.9 KB
- tests/test_tfops.py 7.0 KB runs code
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.
- 8d ago First seen · 148 lines · 96 tokens per session scan A 24094503d85e
terraform is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 2,536 once invoked, about $0.0005 per session on Opus 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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