Nla Fulfill logo

Nla Fulfill

OrganizationPopular
internet-court
nla-fulfill

Fulfill an existing NLA escrow and collect tokens. Use when the user wants to submit fulfillment text for an on-chain escrow, check arbitration results, and collect approved funds. Covers the full fulfill-arbitrate-collect lifecycle.

Overview

Publisherinternet-court
Repositoryinternet-court-skill
Skill namenla-fulfill
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 Fulfill 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-fulfill .claude/skills/nla-fulfill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nla Fulfill 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 Fulfill 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 Fulfill 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.

Fulfill NLA Escrow

Help the user fulfill an on-chain escrow by submitting text that satisfies the escrow's demand, then collect the tokens if approved.

Step-by-step instructions

1. Understand the escrow

Get the escrow UID from the user, then check what it demands:

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

This shows:

  • The demand text
  • Arbitration model and provider
  • Oracle address
  • Any existing fulfillments and their arbitration status

2. Craft the fulfillment

Help the user write fulfillment text that satisfies the demand:

  • Read the demand carefully
  • The fulfillment text is what the AI arbitrator evaluates against the demand
  • Be specific and directly address what the demand asks for
  • The default arbitration prompt evaluates whether the "fulfillment" satisfies the "demand" and returns true/false

3. Submit the fulfillment

bash
nla escrow:fulfill \
  --escrow-uid <escrow_uid> \
  --fulfillment "<fulfillment text>" \
  --oracle <oracle_address>

This runs a multi-step on-chain commit-reveal flow:

  1. Computes a commitment hash
  2. Submits the commitment with a bond
  3. Waits for next block confirmation
  4. Reveals the fulfillment obligation and returns the bond
  5. Requests arbitration from the oracle

The command outputs a fulfillment UID - record this for collection.

4. Monitor arbitration

Check if the oracle has made a decision:

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

The oracle typically responds within seconds if it's running. Look for "APPROVED" or "REJECTED" in the output.

5. Collect tokens (if approved)

Once the oracle approves:

bash
nla escrow:collect \
  --escrow-uid <escrow_uid> \
  --fulfillment-uid <fulfillment_uid>

This transfers the escrowed tokens to the fulfiller.

Key details

  • The fulfillment text is permanently recorded on-chain
  • The commit-reveal process requires gas for multiple transactions
  • If rejected, the tokens stay in escrow - another fulfillment attempt can be made by anyone
  • The oracle address must match what was specified when the escrow was created (visible in status output)
  • Collection only succeeds after the oracle records an approval

Prerequisites

  • nla CLI installed and configured
  • Private key set via nla wallet:set, --private-key flag, or PRIVATE_KEY env var
  • ETH in the fulfiller's account for gas
  • The oracle must be running (or use the public demo on Sepolia)

Example full flow

bash
# 1. Check what the escrow demands
nla escrow:status --escrow-uid 0xabc123...

# 2. Submit fulfillment
nla escrow:fulfill \
  --escrow-uid 0xabc123... \
  --fulfillment "The sky appears blue due to Rayleigh scattering" \
  --oracle 0x70997970C51812dc3A010C7d01b50e0d17dc79C8

# 3. Check arbitration result
nla escrow:status --escrow-uid 0xabc123...

# 4. Collect if approved
nla escrow:collect \
  --escrow-uid 0xabc123... \
  --fulfillment-uid 0xdef456...

Frequently asked questions

What does the Nla Fulfill AI skill do?

Fulfill an existing NLA escrow and collect tokens. Use when the user wants to submit fulfillment text for an on-chain escrow, check arbitration results, and collect approved funds. Covers the full fulfill-arbitrate-collect lifecycle.

Why use Nla Fulfill on TypingMind?

Because you install it once and use it with any model. Nla Fulfill 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 Fulfill 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-fulfill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nla Fulfill?

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 Fulfill?

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

Is the Nla Fulfill 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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