Make Git Escrow

OrganizationPopular

internet-court

make-git-escrow

Create a new git escrow bounty for a test suite. Use when the user wants to submit a challenge with escrowed token rewards for passing a failing test suite. Requires the git-escrows CLI (npm i -g git-escrows).

Overview

Publisher	internet-court
Repository	`internet-court-skill`
Skill name	`make-git-escrow`
Stars	5.8K
Forks	106
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by internet-court on GitHub. Read the source before you install it.

Installation

Install the Make Git Escrow 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/arkhai/make-git-escrow

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/arkhai/make-git-escrow .claude/skills/make-git-escrow

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

Use it in TypingMind

Enable Make Git Escrow 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 Make Git Escrow 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 Make Git Escrow 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.

Make Git Escrow

You are automating the creation of a git escrow bounty via the git-escrows submit CLI command. This locks ERC20 tokens in escrow as a bounty for someone who can make a failing test suite pass.

Step 1: Check CLI availability

Run git-escrows --help to verify the CLI is installed. If it fails, try npx git-escrows --help or bunx git-escrows --help. Use whichever works for all subsequent commands. If none work, tell the user to install with npm i -g git-escrows.

Step 2: Check .env configuration

Check if a .env file exists in the current directory. If not, tell the user they need one and suggest running:


git-escrows new-client --privateKey "0x..." --network "sepolia"

Verify it contains at least PRIVATE_KEY and NETWORK (or defaults to anvil). For base-sepolia and sepolia networks, contract addresses are auto-configured.

Step 3: Gather parameters

You need all of these to run the submit command:

--tests-repo (required): Git repository URL containing the failing test suite.
- If the user provided a URL as an argument, use that.
- Otherwise, check if the current directory is a git repo and offer to use its remote URL.
- Ask the user if neither is available.
--tests-commit (required): The commit hash of the test suite.
- If using the current repo, detect HEAD with git rev-parse HEAD.
- Otherwise ask the user.
--reward (required): Amount of tokens to escrow, in wei.
- Ask the user. Help them convert if they give a human-readable amount (e.g., "1 USDC" = "1000000" for 6-decimal tokens, "1 ETH worth" = "1000000000000000000" for 18-decimal tokens).
--oracle (required): The Ethereum address of the oracle that will arbitrate.
- Ask the user. Mention the public demo oracle on Sepolia: 0xc5c132B69f57dAAAb75d9ebA86cab504b272Ccbc.
--arbiter (required): The arbiter contract address.
- Ask the user. This is typically the TrustedOracleArbiter contract on their network.
--token (required): The ERC20 token contract address for the reward.
- Ask the user.

Ask for any missing parameters, grouping related questions together when possible to minimize back-and-forth.

Step 4: Execute

Run the submit command with all gathered parameters:


git-escrows submit \
  --tests-repo "<repo-url>" \
  --tests-commit "<commit-hash>" \
  --reward "<amount>" \
  --arbiter "<address>" \
  --oracle "<address>" \
  --token "<address>"

Step 5: Report results

After successful execution:

Report the Escrow UID prominently
Show the full escrow details (attester, recipient, schema, reward, token, oracle)

Provide the fulfill command that a solver would use:


git-escrows fulfill --escrow-uid <UID> --solution-repo "<url>" --solution-commit "<hash>"

Mention they can track status with: git-escrows list --status open

If the command fails, help diagnose the issue (insufficient balance, wrong network, missing approval, etc.).

Frequently asked questions

What does the Make Git Escrow AI skill do?

Why use Make Git Escrow on TypingMind?

Because you install it once and use it with any model. Make Git Escrow 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 Make Git Escrow in TypingMind?

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

Which AI models can use Make Git Escrow?

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 Make Git Escrow?

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

Is the Make Git Escrow 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

Make Git Escrow

Step 1: Check CLI availability

Step 2: Check .env configuration

Step 3: Gather parameters

Step 4: Execute

Step 5: Report results

Frequently asked questions

Related AI Skills

Set up your own AI workspace now