Genvm Lint

OrganizationPopular

internet-court

genvm-lint

Validate GenLayer intelligent contracts with the GenVM linter.

Overview

Publisher	internet-court
Repository	`internet-court-skill`
Skill name	`genvm-lint`
Stars	5.8K
Forks	106
Bundled files	1
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by internet-court on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/internet-court/internet-court-skill/tree/main/vendored/genlayer/genvm-lint

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/genlayer/genvm-lint .claude/skills/genvm-lint

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Genvm Lint 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 Genvm Lint 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 Genvm Lint 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.

GenVM Lint

Validate intelligent contracts for safety, correctness, and SDK compliance.

Setup

Requires genvm-linter (included in requirements.txt for boilerplate projects):

bash
pip install genvm-linter

Workflow

Always lint before testing. Run genvm-lint check after writing or modifying a contract. Fix all errors before running tests.

bash
genvm-lint check contracts/my_contract.py

check runs both lint (AST safety) and validate (SDK semantics) in one pass.

Commands

check (recommended)

bash
genvm-lint check contracts/my_contract.py
genvm-lint check contracts/my_contract.py --json  # Machine-readable output

lint (fast AST checks only, ~50ms)

bash
genvm-lint lint contracts/my_contract.py

Catches:

Forbidden imports (os, sys, subprocess, random, etc.)
Non-deterministic patterns (bare float usage)
Contract header structure issues

validate (SDK semantic checks, ~200ms)

bash
genvm-lint validate contracts/my_contract.py

Validates:

Types exist in SDK (TreeMap, DynArray, Address, etc.)
Decorators correctly applied (@gl.public.view, @gl.public.write)
Storage fields have valid types (no dict/list)
Method signatures correct

schema (extract ABI)

bash
genvm-lint schema contracts/my_contract.py
genvm-lint schema contracts/my_contract.py --json
genvm-lint schema contracts/my_contract.py --output abi.json

typecheck (Pyright/Pylance)

bash
genvm-lint typecheck contracts/my_contract.py
genvm-lint typecheck contracts/my_contract.py --json
genvm-lint typecheck contracts/my_contract.py --strict

Runs Pyright with SDK paths auto-configured. Catches type mismatches, missing attributes, undefined variables.

download (pre-download GenVM artifacts)

bash
genvm-lint download                    # Latest
genvm-lint download --version v0.2.12  # Specific
genvm-lint download --list             # Show cached

Output Formats

Human (default)


✓ Lint passed (3 checks)
✓ Validation passed
  Contract: MyContract
  Methods: 8 (5 view, 3 write)

JSON (`--json`)

json
{"ok":true,"lint":{"ok":true,"passed":3},"validate":{"ok":true,"contract":"MyContract","methods":8,"view_methods":5,"write_methods":3,"ctor_params":2}}

Exit Codes

0 — All checks passed
1 — Lint or validation errors found
2 — Contract file not found
3 — SDK download failed

Agent Workflow

When fixing lint errors iteratively:

Run genvm-lint check contract.py --json
Parse JSON for specific errors
Fix each error in the contract
Re-run check until "ok": true
Proceed to tests

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Genvm Lint AI skill do?

Validate GenLayer intelligent contracts with the GenVM linter.

Why use Genvm Lint on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/internet-court/internet-court-skill/tree/main/vendored/genlayer/genvm-lint. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Genvm Lint?

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 Genvm Lint?

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

Is the Genvm Lint AI skill free?

It is published on GitHub by internet-court. Check the repository for licensing terms. 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.

View all

Writing Plans

obra

CommunityPopular

Use when you have a spec or requirements for a multi-step task, before touching code

Ask Matt

Ask which skill or flow fits your situation. A router over the skills in this repo.

Code Review

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what…

Codebase Design

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GenVM Lint

Setup

Workflow

Commands

check (recommended)

lint (fast AST checks only, ~50ms)

validate (SDK semantic checks, ~200ms)

schema (extract ABI)

typecheck (Pyright/Pylance)

download (pre-download GenVM artifacts)

Output Formats

Human (default)

JSON (--json)

Exit Codes

Agent Workflow

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now

JSON (`--json`)