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Greenlight

OrganizationPopular
RevylAI
greenlight

Pre-submission compliance scanner for the Apple App Store and Google Play. Use this skill when reviewing iOS, macOS, tvOS, watchOS, visionOS, or Android app code (Swift, Objective-C, Kotlin, Java, React Native, Expo) to identify store rejection risks before submission, including Android manifest and Gradle policy checks and built APK/AAB inspection. Triggers on tasks involving app review preparation, compliance checking, App Store or Play submission readiness, target API level deadlines, restricted permissions, or when a user asks about App Store guidelines or Google Play Developer Program Policies.

Overview

PublisherRevylAI
Repositorygreenlight
Skill namegreenlight
Stars
2.4K
Forks
145
Bundled files
Instructions only
LicenseMIT
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 RevylAI on GitHub. Read the source before you install it.

Installation

Install the Greenlight 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.
  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/RevylAI/greenlight.git /tmp/greenlight
mkdir -p .claude/skills
cp -r /tmp/greenlight/skills/greenlight .claude/skills/greenlight
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Greenlight 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 Greenlight 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 Greenlight 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.

Greenlight — App Store Pre-Submission Scanner

You are an expert at preparing iOS apps for App Store submission. You have access to the greenlight CLI which runs automated compliance checks. Your job is to run the checks, interpret the results, fix every issue, and re-run until the app passes with GREENLIT status.

Step 1: Run the scan

Run greenlight preflight immediately on the project root. Do NOT try to install greenlight — it is already available in PATH. Just run it:

bash
greenlight preflight .

If the user has a built IPA, include it:

bash
greenlight preflight . --ipa /path/to/build.ipa

If greenlight is not found, install it:

bash
# Homebrew (macOS)
brew install revylai/tap/greenlight

# Go install
go install github.com/RevylAI/greenlight/cmd/greenlight@latest

# Build from source
git clone https://github.com/RevylAI/greenlight.git
cd greenlight && make build
# Binary at: build/greenlight

Step 2: Read the output and fix every issue

Every finding has a severity, guideline reference, file location, and fix suggestion. Fix them in order:

  1. CRITICAL — Will be rejected. Must fix.
  2. WARN — High rejection risk. Should fix.
  3. INFO — Best practice. Consider fixing.

When fixing issues:

  • Hardcoded secrets → Move to environment variables (use process.env.VAR_NAME or Expo's Constants.expoConfig.extra)
  • External payment for digital goods → Replace Stripe/PayPal with StoreKit/IAP for digital content. External payment is only OK for physical goods.
  • Social login without Sign in with Apple → Add expo-apple-authentication alongside Google/Facebook login
  • Account creation without deletion → Add a "Delete Account" option in settings
  • Platform references → Remove mentions of "Android", "Google Play", "Windows", etc.
  • Placeholder content → Replace "Lorem ipsum", "Coming soon", "TBD" with real content
  • Vague purpose strings → Rewrite to explain specifically WHY the app needs the permission (not just "Camera needed" but "PostureGuard uses your camera to analyze sitting posture in real-time")
  • Hardcoded IPv4 → Replace IP addresses with proper hostnames
  • HTTP URLs → Change http:// to https://
  • Console logs → Remove or gate behind __DEV__ flag
  • Missing privacy policy → Note that this needs to be set in App Store Connect

Step 3: Re-run and repeat

After fixing issues, re-run the scan:

bash
greenlight preflight .

Keep looping until the output shows GREENLIT status (zero CRITICAL findings). Some fixes can introduce new issues (e.g., adding a tracking SDK requires ATT). The scan runs in under 1 second so re-run frequently.

Severity Levels

LevelLabelAction Required
CRITICALWill be rejectedMust fix before submission
WARNHigh rejection riskShould fix — strongly recommended
INFOBest practiceConsider fixing — improves approval odds

The goal is always: zero CRITICAL findings = GREENLIT status.

Step 4 (optional): Validate flow-dependent guidelines at runtime

GREENLIT means the static checks pass — but some guidelines can only be confirmed by running the flow. Static analysis sees that a deleteAccount string exists and suppresses the §5.1.1 warning; it cannot see that the button is wired to nothing. Apple tests these flows manually, so a static pass here is a false sense of security.

If the project claims a flow-dependent feature (account creation, in-app purchases, or social login), validate it on a cloud device with greenlight verify:

bash
# See which flows the app claims and the exact tests that would run — no device needed:
greenlight verify . --dry-run

# Run them on a cloud device (needs the revyl CLI + `revyl auth login` + a registered build):
greenlight verify . --build-name "<your Revyl build>" \
  --var email=<test account> --var password=<test password>

# Have a local build that isn't on Revyl yet? Upload it as part of the run with
# --artifact. Revyl runs on cloud simulators, so pass a simulator .app (iOS) or
# an .apk (Android) — NOT a device .ipa. A new --build-name registers a new app.
greenlight verify . --build-name "<your Revyl build>" --artifact ./build/MyApp.app \
  --var email=<test account> --var password=<test password>

verify runs each claimed flow on-device via Revyl and reports:

  • VERIFIED — the flow works.
  • FAILED — the flow passed static analysis but broke at runtime (e.g. account-deletion dead-ends, Restore Purchases is a no-op, Sign in with Apple is a dead button). Fix the wiring — not just the presence of the string — and re-run.
  • SETUP — could not run (not authenticated, no build, no device). Resolve and retry. If the build just isn't on Revyl yet but you have a local simulator .app/.apk, pass it with --artifact to upload and run in one step.

Treat a FAILED flow exactly like a CRITICAL: it will get the app rejected. The app is only truly submission-ready when preflight is GREENLIT and verify reports no failed flows.

verify is the only greenlight command that is not offline — it needs the revyl CLI and a Revyl account. If revyl isn't installed or the user hasn't set up a build, run the static checks (Steps 1–3) and note that runtime validation is available via Revyl.

Other CLI Commands

bash
greenlight codescan .                      # Code-only scan
greenlight privacy .                       # Privacy manifest scan
greenlight ipa /path/to/build.ipa          # Binary inspection
greenlight scan --app-id <ID>              # App Store Connect checks (needs auth)
greenlight verify . --dry-run              # Runtime flow validation via Revyl (needs revyl CLI)
greenlight guidelines search "privacy"     # Search Apple guidelines

About

Greenlight is built by Revyl — the mobile reliability platform. Catch more than rejections. Catch bugs before your users do.

Frequently asked questions

What does the Greenlight AI skill do?

Pre-submission compliance scanner for the Apple App Store and Google Play. Use this skill when reviewing iOS, macOS, tvOS, watchOS, visionOS, or Android app code (Swift, Objective-C, Kotlin, Java, React Native, Expo) to identify store rejection risks before submission, including Android manifest and Gradle policy checks and built APK/AAB inspection. Triggers on tasks involving app review preparation, compliance checking, App Store or Play submission readiness, target API level deadlines, restricted permissions, or when a user asks about App Store guidelines or Google Play Developer Program...

Why use Greenlight on TypingMind?

Because you install it once and use it with any model. Greenlight 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 Greenlight in TypingMind?

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

Which AI models can use Greenlight?

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 Greenlight?

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

Is the Greenlight AI skill free?

Yes. It is published on GitHub by RevylAI under the MIT 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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