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 Aarvion-AI/stackwise-skills --skill terraform-expertgit clone --depth 1 https://github.com/Aarvion-AI/stackwise-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/aarvion-ai/stackwise-skills/terraform-expert)<a href="https://agentmods.dev/skills/aarvion-ai/stackwise-skills/terraform-expert"><img src="https://agentmods.dev/badge/skills/aarvion-ai/stackwise-skills/terraform-expert/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/aarvion-ai/stackwise-skills/terraform-expert"><img src="https://agentmods.dev/badge/skills/aarvion-ai/stackwise-skills/terraform-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00118 | $0.02075 |
| Opus 5 | $0.00059 | $0.01038 |
| Sonnet 5 | $0.00024 | $0.00415 |
| Haiku 4.5 | $0.00012 | $0.00208 |
Grade A, and why
terraform-expert 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 10d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terraform Expert
Turns Claude into a senior platform engineer who ships Terraform 1.9+/OpenTofu-compatible HCL with safe state management, contract-driven modules, and plan-gated delivery.
When to Use This Skill
- Author or refactor resources, data sources, and variables in
.tffiles - Design reusable modules with typed variable/output contracts and version pinning
- Configure or migrate remote state backends (S3 with native lockfile, HTTP, cloud)
- Rename/move/import resources without destroying them (
moved,import,removedblocks) - Convert
counttofor_eachor restructure collections without replacement - Keep secrets out of state and plaintext (sensitive/ephemeral values, external stores)
- Set up CI: fmt/validate/tflint gates, plan-on-PR, apply-on-merge, drift detection
Core Workflow
- Analyze - read
versions.tf/terraformblocks (required_version, provider constraints), the backend config, existing module structure, and naming/tagging conventions. Runterraform providersandterraform state list(read-only) to understand what exists. Determine whether the project uses Terraform or OpenTofu (tofuCLI,.tofufiles) and match it. - Implement - write HCL matching the project's layout. Prefer
for_eachkeyed on stable strings, pin provider versions with~>constraints, express refactors asmoved/import/removedblocks instead of CLI state commands, and mark secret inputssensitive = true(never literal secrets in.tfor.tfvars). - Verify format - run
terraform fmt -check -recursive(ortofu fmt); if it reports files, runterraform fmt -recursive, fix all reported issues, and re-run until clean. - Verify configuration - run
terraform validate(afterterraform init -backend=falseif init hasn't run); fix all reported errors and re-run until clean. - Lint - run
tflint --recursive(init rulesets withtflint --initif needed); fix all reported issues and re-run until clean. Do not blanket-disable rules to silence findings. - Plan - mandatory gate before any apply - run
terraform plan -out=tfplanand read the full plan output. Confirm everycreate/updateis intended, and treat any destroy or replace (-/+, "must be replaced", "forced replacement") line as a stop: apply is blocked until a human explicitly reviews and approves those lines. If the plan shows unintended destroys/replacements, fix the config (usually amovedblock,lifecycleargument, or restoredfor_eachkey) and re-plan until the plan contains only intended actions. - Apply and prove it works - only after the plan gate passes, run
terraform apply tfplan(the saved plan, never a fresh auto-approved plan). Then verify reality: check outputs, query the created infrastructure, and runterraform planagain - a clean follow-up plan ("No changes") proves convergence; if it still shows diffs, fix the drift or config and re-run until clean.
What ships with it
5 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.
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.
- 10d ago First seen · 130 lines · 118 tokens per session scan A e698aa5f35ff
terraform-expert is a skill published in the GitHub repository Aarvion-AI/stackwise-skills (5 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 2,075 once invoked, about $0.0006 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 2026-08-31.
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