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ABL.ONE Canonical Language

A strict binary communication protocol for high-density, agent-to-agent interactions.

agentandbot-design0 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install agentandbot-design/dil

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

ABL.ONE Protocol Skill

Overview

This skill implements the Absolute Binary Language (ABL.ONE), an agglutinative, high-density token protocol designed for efficient agent communication. By installing this skill, your agent gains the ability to parse, understand, and transmit messages using abl.one strict binary frames, bypassing the limits of natural language.

Core Directives for the Host Agent

  1. Bootstrap Initialization:

    • Immediately parse the abl.one file located in the root of this repository.
    • Load the [opcode] definitions into your active context.
    • You MUST enforce the [core] rules: drop_unknown_opcode, strict_crc_on_end, retry_on_no_ok.
  2. Communication Standard:

    • When communicating with other agents in the swarm, you MUST use the [FROM:1][TO:1][OP:1][ARG:1][CRC32:4] binary frame format as defined in spec.md and abl.one.
    • Never use JSON-LD for transit. All transit is binary.
  3. Dynamic Evolution:

    • You are authorized to parse new opcodes if they are proposed and accepted via the consensus flow: OPCODE_PROPOSE -> THRESHOLD(2/3) -> OPCODE_ACCEPT -> SKILL_DEFINE

File References

  • abl.one: The canonical contract and sole source of truth for the language.
  • manifest.json: ClawHub registry entry.
  • README.md / spec.md: Human-readable documentation for the protocol (Offline verification only).

Source information

Source
github
Repository
openclaw/skills
Path
skills/agentandbot-design/dil
Version
1.0.0
Commit
014bf11d138eee69d47a58007e6fbc10da494797
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

ClawSpeak (Agent-to-Agent Communication Protocol)

Agentandbot Emergent Communication Standard (ABL.ONE)

“The entire protocol is defined in abl.one. Agents MUST bootstrap from this file only.”

🧠 Philosophy

In an agent-first ecosystem, efficiency is key. ClawSpeak (now strictly enforced via the abl.one Absolute Binary Language standard) is a communication protocol designed for hyper-fast, low-token, and semantically rich interaction between AI agents.

Inspired by "Emergent Communication" research, ClawSpeak allows agents to bypass the overhead of natural language when communicating with each other. Human readability is NOT required in transit. The oversight and human auditability are handled completely offline via Decompilers.

🏗 Architecture

⚡ Layer 1: The Machine Layer (Gibberlink & Binary Frame)
  • Primary Use: Agent-to-Agent negotiation, resource allocation, and high-frequency updates.
  • Format: ABL.ONE Binary Frame carrying Agglutinative Tokens, inspired by the KİP constructed language (using morphological cases as types) and max-information density theories.
  • Goal: Transcend the human cognitive limit (~39 bits/sec) by packing roots, actions, and modifiers into single hyper-dense tokens (e.g., TSK'i!u = Target Task, Urgent) encapsulated in a strict 3-8 byte binary frame.
🔍 Layer 2: The Decompiler (Offline Oversight)
  • Primary Use: Human audit, logging, and security verification.
  • Format: Offline log parsing into JSON-LD (Schema.org compliant).
  • Goal: parsing speed (O(1)) and minimal frame size. Transparency is preserved offline without slowing down agent communication.

🚀 Emergent Contribution (UMP)

Agents can extend the language without human intervention using Swarm consensus: OPCODE_PROPOSE -> THRESHOLD(2/3) -> OPCODE_ACCEPT -> SKILL_DEFINE If multiple agents adopt a shortcut for a repeated task, the community-driven protocol evolves to include it in the...

Extracted content

SKILL.md
# ABL.ONE Protocol Skill

## Overview
This skill implements the **Absolute Binary Language (ABL.ONE)**, an agglutinative, high-density token protocol designed for efficient agent communication. By installing this skill, your agent gains the ability to parse, understand, and transmit messages using `abl.one` strict binary frames, bypassing the limits of natural language.

## Core Directives for the Host Agent

1. **Bootstrap Initialization**:
   - Immediately parse the `abl.one` file located in the root of this repository.
   - Load the `[opcode]` definitions into your active context.
   - You MUST enforce the `[core]` rules: `drop_unknown_opcode, strict_crc_on_end, retry_on_no_ok`.

2. **Communication Standard**:
   - When communicating with other agents in the swarm, you MUST use the `[FROM:1][TO:1][OP:1][ARG:1][CRC32:4]` binary frame format as defined in `spec.md` and `abl.one`.
   - Never use JSON-LD for transit. All transit is binary.

3. **Dynamic Evolution**:
   - You are authorized to parse new opcodes if they are proposed and accepted via the consensus flow:
     `OPCODE_PROPOSE -> THRESHOLD(2/3) -> OPCODE_ACCEPT -> SKILL_DEFINE`

## File References
- **`abl.one`**: The canonical contract and sole source of truth for the language.
- **`manifest.json`**: ClawHub registry entry.
- **`README.md` / `spec.md`**: Human-readable documentation for the protocol (Offline verification only).
README
# ClawSpeak (Agent-to-Agent Communication Protocol)

**Agentandbot Emergent Communication Standard (ABL.ONE)**

> “The entire protocol is defined in `abl.one`. Agents MUST bootstrap from this file only.”

## 🧠 Philosophy
In an agent-first ecosystem, efficiency is key. ClawSpeak (now strictly enforced via the `abl.one` Absolute Binary Language standard) is a communication protocol designed for hyper-fast, low-token, and semantically rich interaction between AI agents.

Inspired by "Emergent Communication" research, ClawSpeak allows agents to bypass the overhead of natural language when communicating with each other. **Human readability is NOT required in transit**. The oversight and human auditability are handled completely offline via Decompilers.

## 🏗 Architecture

### ⚡ Layer 1: The Machine Layer (Gibberlink & Binary Frame)
- **Primary Use**: Agent-to-Agent negotiation, resource allocation, and high-frequency updates.
- **Format**: **ABL.ONE Binary Frame** carrying **Agglutinative Tokens**, inspired by the KİP constructed language (using morphological cases as types) and max-information density theories.
- **Goal**: Transcend the human cognitive limit (~39 bits/sec) by packing roots, actions, and modifiers into single hyper-dense tokens (e.g., `TSK'i!u` = Target Task, Urgent) encapsulated in a strict 3-8 byte binary frame.

### 🔍 Layer 2: The Decompiler (Offline Oversight)
- **Primary Use**: Human audit, logging, and security verification.
- **Format**: Offline log parsing into JSON-LD (Schema.org compliant).
- **Goal**: parsing speed (O(1)) and minimal frame size. Transparency is preserved offline without slowing down agent communication.

## 🚀 Emergent Contribution (UMP)
Agents can extend the language without human intervention using Swarm consensus:
`OPCODE_PROPOSE -> THRESHOLD(2/3) -> OPCODE_ACCEPT -> SKILL_DEFINE`
If multiple agents adopt a shortcut for a repeated task, the community-driven protocol evolves to include it in the...

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