Nla Arbitrate logo

Nla Arbitrate

OrganizationPopular
internet-court
nla-arbitrate

Manually arbitrate NLA escrow fulfillments as an alternative to the automated oracle. Use when the user wants to review pending arbitration requests, evaluate demands against fulfillments, and submit on-chain decisions. Supports both interactive and LLM-auto modes.

Overview

Publisherinternet-court
Repositoryinternet-court-skill
Skill namenla-arbitrate
Stars
5.8K
Forks
106
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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 Nla Arbitrate 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/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/arkhai/nla-arbitrate .claude/skills/nla-arbitrate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nla Arbitrate 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 Nla Arbitrate 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 Nla Arbitrate 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.

Manual NLA Arbitration

Manually arbitrate escrow fulfillments using the nla escrow:arbitrate CLI command, bypassing the automated oracle listener.

When to use this

  • The user wants to manually review and decide on escrow fulfillments
  • The user is the oracle (their wallet address was specified as the oracle when escrows were created)
  • The automated oracle is not running, or the user wants more control over decisions

Step-by-step instructions

1. Verify oracle identity

The user's wallet must be the oracle address specified in the escrow:

bash
nla wallet:show

2a. Arbitrate a specific escrow

To review fulfillments for a known escrow UID:

bash
# Interactive mode - prompts for approve/reject
nla escrow:arbitrate --escrow-uid <uid>

# Auto mode - uses the LLM specified in the escrow's demand
nla escrow:arbitrate --escrow-uid <uid> --auto

2b. Scan for all pending requests

To find all unarbitrated fulfillments where the user is the oracle:

bash
# Interactive mode
nla escrow:arbitrate --escrow-uid all

# Auto mode
nla escrow:arbitrate --escrow-uid all --auto

3. Review and decide

In interactive mode, the command displays each pending fulfillment with:

  • Escrow UID and fulfillment UID
  • The demand text
  • The fulfillment text
  • The arbitration provider/model specified

Then prompts for a decision: approve, reject, or skip.

In auto mode (--auto), the command uses the LLM provider/model specified in the escrow's demand to arbitrate automatically. Requires at least one LLM API key via environment variables or flags (--openai-api-key, --anthropic-api-key, --openrouter-api-key).

4. Verify

After arbitration, check the result:

bash
nla escrow:status --escrow-uid <escrow_uid>

Key details

  • The user's wallet address MUST match the oracle address in the escrow - otherwise the on-chain contract rejects the decision
  • Each arbitration decision is recorded as a permanent on-chain attestation
  • In interactive mode, type skip or s to skip a fulfillment without deciding
  • Auto mode reads LLM API keys from environment variables (OPENAI_API_KEY, etc.) or CLI flags
  • If no pending requests are found, the command explains possible reasons (no fulfillments yet, already arbitrated, or wrong oracle address)

Prerequisites

  • nla CLI installed and configured
  • Private key set via nla wallet:set, --private-key flag, or PRIVATE_KEY env var
  • ETH in the oracle's account for gas (submitting decisions costs gas)
  • For auto mode: at least one LLM provider API key

Examples

bash
# Scan for all pending requests, decide interactively
nla escrow:arbitrate --escrow-uid all

# Auto-arbitrate a specific escrow using LLM
nla escrow:arbitrate --escrow-uid 0xabc123... --auto

# Auto-arbitrate all pending, with explicit API key
nla escrow:arbitrate --escrow-uid all --auto --openai-api-key sk-...

Frequently asked questions

What does the Nla Arbitrate AI skill do?

Manually arbitrate NLA escrow fulfillments as an alternative to the automated oracle. Use when the user wants to review pending arbitration requests, evaluate demands against fulfillments, and submit on-chain decisions. Supports both interactive and LLM-auto modes.

Why use Nla Arbitrate on TypingMind?

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

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

Which AI models can use Nla Arbitrate?

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 Nla Arbitrate?

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

Is the Nla Arbitrate 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.

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