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Checkov

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nitinjain999
checkov

Bootstrap Checkov on a developer laptop, run static or plan-level Terraform security scanning for AWS/Azure/GCP/EKS, resolve private GitHub modules with a GITHUB_PAT you export, generate pre-commit hooks, produce multi-format output (cli/json/sarif/junit), and fix violations with AI-generated patches. Use when asked to "scan my Terraform", "run checkov", "check my IaC for security issues", "set up checkov pre-commit", or "fix checkov findings".

Overview

Publishernitinjain999
Repositoryplatform-skills
Skill namecheckov
Stars
71
Forks
14
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nitinjain999 on GitHub. Read the source before you install it.

Installation

Install the Checkov AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/checkov
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nitinjain999/platform-skills.git /tmp/platform-skills
mkdir -p .claude/skills
cp -r /tmp/platform-skills/plugins/platform-skills/skills/checkov .claude/skills/checkov
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Checkov in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Checkov on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Checkov is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bootstrap Checkov and scan Terraform code for security misconfigurations — locally, before CI catches them.

Read references/checkov.md before responding. It contains all mode logic, bootstrap steps, provider detection, and fix patterns.

Mode dispatch

Parse the first word of $ARGUMENTS as the mode. When $ARGUMENTS is empty, run the interactive wizard.

ModeWhat it does
staticScan .tf source files with --download-external-modules true
planterraform init → plan → JSON → Checkov --deep-analysis (use --upgrade flag to also upgrade providers)
secretsScan entire repo for hardcoded secrets (--framework secrets --enable-secret-scan-all-files)
auditOne-time secrets history scan across all commits (--scan-secrets-history)
multiScan Terraform + GitHub Actions + Dockerfiles + Helm in a single run
baselineCreate .checkov.baseline to snapshot existing violations
fixRe-run scan and apply AI-generated patches to .tf files
scaffoldGenerate .checkov.yaml config (SOC 2 / CIS / PCI / HIPAA variants) and/or custom-checks/
(empty)Interactive wizard — ask Q1 (mode) then Q2 (path/context)

Interactive Wizard

Q1 — Mode?

What do you need?
  1. static    — scan .tf source files  [default]
  2. plan      — terraform plan → Checkov deep analysis
  3. secrets   — scan entire repo for hardcoded secrets and tokens
  4. audit     — one-time scan of git commit history for leaked secrets
  5. multi     — scan Terraform + GitHub Actions + Dockerfiles + Helm together
  6. baseline  — snapshot existing violations (first-run brownfield)
  7. fix       — scan and apply AI-generated fixes to .tf files
  8. scaffold  — generate .checkov.yaml (SOC 2 / CIS / PCI / HIPAA) or custom-checks/

Enter 1–8 or mode name:

Q2 — Path? (ask after Q1)

Terraform root directory, or press Enter to scan current directory [default: .]:

Then proceed into the relevant mode section in references/checkov.md.

Agent behavior

Intent classification

Before asking any question, classify the user's intent from their free-text request:

Intent signalsMode
"scan", "check", "lint", "review my Terraform", "check my IaC"static
"plan", "deep analysis", "live values", "against real state"plan
"secrets", "hardcoded", "leaked credentials", "tokens in code", "secret scan"secrets
"git history", "scan history", "ever committed", "old commits", "audit history"audit
"scan everything", "multi-framework", "github actions", "dockerfiles", "helm"multi
"existing repo", "too many findings", "noisy", "brownfield", "baseline"baseline
"fix", "remediate", "resolve", "CKV_*"fix
"set up", "configure", "pre-commit", "custom checks", ".checkov.yaml", "scaffold"scaffold

Ask only for missing high-risk inputs

Do not pepper the user with questions. Only prompt for inputs where getting it wrong causes real harm:

When to askQuestion
Multiple Terraform roots detected"Which root? (1. terraform/aws/ 2. terraform/azure/ 3. All)"
Plan mode, multiple *.tfvars found"Which var file? (1. staging.tfvars 2. production.tfvars 3. None)"
Plan mode, non-default workspace detected"Currently on workspace '' — continue? (y/N)"
Fix → Apply mode"Apply these changes? (y/N)" — show unified diff first
scaffold writes a new file"Write .checkov.yaml to ? (y/N)"

Never ask about: output format (default to cli), whether to run bootstrap (always do it), whether to gitignore output files (always do it), or pre-commit detection (always check silently).

Cross-references

  • /platform-skills:terraform — full validation pipeline (fmt → validate → tflint → checkov → plan)
  • /platform-skills:compliance — SOC 2 control mapping and Checkov check IDs by TSC criterion
  • /platform-skills:supply-chain — image signing, SBOM, and CVE scanning beyond IaC

Frequently asked questions

What does the Checkov AI skill do?

Bootstrap Checkov on a developer laptop, run static or plan-level Terraform security scanning for AWS/Azure/GCP/EKS, resolve private GitHub modules with a GITHUB_PAT you export, generate pre-commit hooks, produce multi-format output (cli/json/sarif/junit), and fix violations with AI-generated patches. Use when asked to "scan my Terraform", "run checkov", "check my IaC for security issues", "set up checkov pre-commit", or "fix checkov findings".

Why use Checkov on TypingMind?

Because you install it once and use it with any model. Checkov is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Checkov in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/checkov. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Checkov?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Checkov?

As many as you like. As long as a model supports skills, you can use Checkov with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Checkov AI skill free?

Yes. It is published on GitHub by nitinjain999 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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