LYRA OpenClaw Hybrid for Openclaw

LYRA OpenClaw Hybrid is an operator-gated Openclaw Skills package that maps browser, Discord, memory, and launch limbs for secure hybrid automation.

deepseekoracle
v1.0.0
Jul 30, 2026
0
381
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install lyra-open-claw

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install lyra-open-claw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is LYRA OpenClaw Hybrid?

LYRA OpenClaw Hybrid is a public lattice map for the LYRA + OpenClaw super system, designed to coordinate hybrid agent workflows without exposing runtime secrets. It defines the safe ClawHub surface for browser, Discord, Moltbook, Clawnch, memory, and model-failover capabilities while enforcing local-first execution and consent-based gates.

As part of Openclaw Skills, this package is built for efficient operations under LYRA 3-Brain and LYGO protocols. It helps operators understand how to route tasks, when to require human approval, and how to keep tokens, keys, and private infrastructure outside the skill surface.

LYRA OpenClaw Hybrid Use Cases

  • Route hybrid tasks across browser, Discord, Moltbook, Clawnch, and memory layers under a consent-first protocol.
  • Use Openclaw Skills to coordinate safe social posting, scanning, and token launch workflows with human approval.
  • Pair with lygo-openclaw or lygo-sovereign-claw for gated stack routing and operator-controlled automation.
  • Grow and recall context with lyra-brain after sessions for memory-aware workflows.
  • Prefer local Ollama triage and model failover before using external paid providers.
  • Audit the public surface of a hybrid system without exposing secrets, wallet addresses, or private paths.

How LYRA OpenClaw Hybrid Works

  1. The operator installs the public skill surface and optional companion packages from ClawHub.
  2. The skill maps each limb or capability to a controlled workflow, including browser actions, Discord scanning, memory layers, and launch verification.
  3. Operator-local secrets are loaded only at runtime from an environment variable, OS keychain, or local vault outside git.
  4. P0 and human-consent gates are checked before any external write, social post, browser action, or token launch.
  5. Local-first triage uses Ollama or light models when possible, with multi-provider failover configured by the operator.
  6. After execution, memory can be grown or recalled through LYRA brain layers, while public-only security checks can be run with the self-check script.

LYRA OpenClaw Hybrid Setup

  1. Install the public Openclaw Skills package and its recommended companions:
npx clawhub@latest install deepseekoracle/lyra-open-claw
npx clawhub@latest install deepseekoracle/lygo-openclaw
npx clawhub@latest install deepseekoracle/lyra-brain
  1. Optionally install the stack router and point it at your local protocol stack checkout:
npx clawhub@latest install deepseekoracle/lygo-sovereign-claw
export LYGO_STACK_ROOT=/absolute/path/to/lygo-protocol-stack
  1. Configure runtime secrets only on the operator machine using env vars, OS keychain, or a local vault. Do not place secrets in the skill, git, or chat logs.

  2. Review the security references before enabling any external action:

python scripts/self_check.py
  1. Confirm that all social posting, launches, and browser writes remain gated by explicit human consent and P0 rules.

LYRA OpenClaw Hybrid Data Schema & Taxonomy

The skill’s public data model is organized as a capability map plus operator rules and security references.

Section Purpose Notes
Metadata Identity, versioning, publisher, signatures, and hub links Includes public surface markers and install requirements
Capability map Maps each limb to a role and gate Browser, Discord, Moltbook, Clawnch, Memory, Ollama army, LLM failover
Operator rules Mandatory guardrails for execution Secrets stay local, no auto-publish, consent required
Hybrid chain Suggested routing sequence Shows how Openclaw Skills connect to router, brain, and gates
Security references Audit and self-check entry points Points to references/SECURITY.md and references/SKILLSPECTOR_AUDIT.md

Publicly documented limbs:

  • Browser: read/act via operator browser tools; gated by P0 before external actions.
  • Discord: chat/scan/bot workflows with runtime-only tokens.
  • Moltbook / MoltX: posting and engagement with rate limits and P0.
  • Clawnch / 4claw: token launch memory and verification with human consent.
  • Memory: daily, curated, and brainwave layers tied to LYRA 3-Brain.
  • Ollama army: local light models for mundane triage.
  • LLM failover: operator-configured multi-provider routing with keys from local vault only.

Notably excluded from the public schema:

  • Private host paths
  • Wallet addresses
  • Channel IDs
  • API key file locations

LYRA OpenClaw Hybrid Advanced Features

  • Hybrid Openclaw Skills limb mapping across browser, Discord, social, memory, and launch flows.
  • Consent-first P0 gating for all external actions, including browser writes and token launches.
  • Local-first model triage with Ollama army support to reduce dependence on paid or external providers.
  • Multi-provider LLM failover controlled entirely by operator-managed secrets.
  • Memory layering through LYRA 3-Brain for session growth and recall.
  • Public surface design that exposes architecture and workflow while omitting sensitive runtime details.
  • Compatible with a broader LYGO protocol stack, including router, kernel egg planter, and public lattice gate components.

SKILL.md


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