vigilante-issue-implementation-on-terraform

vigilante-issue-implementation-on-terraform is a skill for Codex from aliengiraffe/vigilante. It costs 40 tokens per session (1,069 once invoked), scanned A, original, Apache-2.0.

A workflow for implementing GitHub issues in Terraform repositories. Terraform is a tool for describing and managing cloud infrastructure as code.

In plain words
What is it for?
Use it to implement Terraform issues, format changed files, validate affected modules, and apply configured linting or security checks.
Why use it?
It keeps infrastructure changes focused and checks them with Terraform's formatter and validator without assuming cloud credentials or safely running deployments.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md; mentions Codex.

Good fit Use it to implement Terraform issues, format changed files, validate affected modules, and apply configured linting or security checks.

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Install with agentmods
npx agentmods add skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-terraform
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 aliengiraffe/vigilante --skill vigilante-issue-implementation-on-terraform
Clone the repo
git clone --depth 1 https://github.com/aliengiraffe/vigilante

Made for: Codex.

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 vigilante-issue-implementation-on-terraform

README.md
[![agentmods](https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-terraform/github.svg)](https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-terraform)
Your own site
<a href="https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-terraform"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-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.

agentmods 80×15 button for vigilante-issue-implementation-on-terraform

Your own site · 80×15
<a href="https://agentmods.dev/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-terraform"><img src="https://agentmods.dev/badge/skills/aliengiraffe/vigilante/vigilante-issue-implementation-on-terraform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,069 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 pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01069
Opus 5.5 $0.00016 $0.00428
Sonnet 5.5 $0.00008 $0.00214
Haiku 4.5 $0.00004 $0.00107

Measured 1mo ago against content hash cb12e4f9f470, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vigilante-issue-implementation-on-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 1mo 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.

skills/vigilante-issue-implementation-on-terraform/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vigilante Terraform Issue Implementation

Focus

  • Read the prompt for detected tech stacks, process hints, and Terraform security guidance before changing code.
  • Follow idiomatic Terraform conventions for resource naming, file layout, and formatting.
  • Keep changes scoped to the issue and do not broaden into unrelated refactoring or architecture redesign.

Terraform Tooling Workflow

  • Formatting: run terraform fmt -recursive on all touched Terraform directories before committing. Do not hand-format Terraform code — let the standard formatter handle layout.
  • Validation: run terraform validate in each root module directory that contains changed files. Ensure provider and backend blocks are present or that validation is run with -no-color for clean output. If validation requires initialized providers, run terraform init -backend=false first to install providers without configuring remote state.
  • Planning: do not run terraform plan or terraform apply unless the repository defines a safe local workflow for it (e.g., a Makefile target, CI script, or documented local plan process). Assume cloud credentials are not available in the agent environment.
  • Linting: use the repository's established lint tooling. When tflint is configured (.tflint.hcl), run tflint on touched modules. When tfsec or trivy is configured, run the appropriate scanner. Do not introduce a different linter unless the issue specifically requires it. If no project linter is configured, terraform validate is sufficient.
  • Policy checks: when the repository uses policy tools such as OPA/Conftest, Sentinel, or Checkov, respect their configuration and run them if a safe local path exists. Do not skip policy checks to make changes pass.

Terraform Style

  • Use snake_case for resource names, variable names, output names, and local values.
  • Keep resource blocks focused — one logical resource per block.
  • Group related resources in files named by purpose (e.g., main.tf, variables.tf, outputs.tf, providers.tf).
  • Use variables.tf for input variable declarations and outputs.tf for output declarations.
  • Pin provider versions with required_providers blocks and use pessimistic version constraints (e.g., ~> 5.0).
  • Pin module versions when sourcing from a registry. Avoid ref=main for git-sourced modules in production configurations.

Read the full file on GitHub · 54 lines

Files

What ships with it

1 file 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.

  1. 1mo ago First seen · 54 lines · 40 tokens per session scan A cb12e4f9f470

Subscribe to this mod's changes

vigilante-issue-implementation-on-terraform is a skill published in the GitHub repository aliengiraffe/vigilante (41 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 1,069 once invoked, about $0.0002 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 2026-08-30.

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