A validation tool to verify LYGO node alignment, run multi-phase demo cycles, and output machine-readable status badges.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lygo-alignment-badge
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lygo-alignment-badge 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 lygo-alignment-badge?
The lygo-alignment-badge skill is a node compliance validation package designed to assess the alignment of LYGO nodes within decentralized protocols. It executes a pipeline of checks, including priority queue verification, gossip registry configuration, stack demos, and falsifiable audit tests. Once complete, it issues a machine-verifiable status badge that denotes node readiness.
By incorporating this system into your workflow, you leverage a trusted framework of verification methods designed for autonomous environments. This ensures your nodes remain compliant, making it a valuable addition to your suite of Openclaw Skills.
lygo-alignment-badge Use Cases
- Automating decentralized node compliance checks for continuous integration pipelines.
- Formatting fast diagnostic checks to use as Docker health checks in production environments.
- Isolating and verifying untrusted external repositories before establishing node trust.
- Inspecting lattice-link parity and registry synchronization across distributed configurations.
How lygo-alignment-badge Works
- Check Node Fixture: Validates the presence of the canonical P0 golden SHA fixture.
- Verify Demo Cycle: Runs live P0 to P5 stack demo cycles with scale testing criteria.
- Test Elasticity: Assesses priority queues and batch writer behaviors under Phase 1 requirements.
- Audit Gossip Mechanics: Validates node registry and peer-to-peer gossip configurations.
- Audit Vector Verification: Executes over 60 falsifiable vectors in full mode alongside lattice-link parity.
- Export Status: Saves a comprehensive compliance signature as a JSON or Markdown badge.
lygo-alignment-badge Setup
Install the skill using the package runner:
npx clawhub@latest install deepseekoracle/lygo-alignment-badge
Navigate to your local protocol stack directory to execute the verification scripts:
cd lygo-protocol-stack
# Perform a comprehensive alignment check
python tools/verify_alignment_badge.py
# Run a quick check with Markdown formatting suitable for node healthchecks
python tools/verify_alignment_badge.py --quick --format=md
# Run a strict lattice gauntlet validation
python tools/run_lattice_gauntlet.py --strict
lygo-alignment-badge Data Schema & Taxonomy
The skill manages its verification parameters and outputs through specific file schemas.
Verification Artifacts
| File Name | Location | Format | Description |
|---|---|---|---|
alignment_badge.json |
tests/ |
JSON | Machine-verifiable output representing node validation success status. |
mesh_scale_last_run.json |
tests/ |
JSON | Results of phase 5 mesh scalability runs, limited to 10 rounds. |
Schema Verification Metrics
- p0_golden_sha: Canonical file integrity verification.
- stack_demo: Successful completion of P0 to P5 demo cycles.
- phase1_elasticity: Priority queue and queue handling capabilities.
- phase3_4_federation: Status of peer gossip registry connections.
- grok_audit_cli: Coverage of 60+ falsifiable compliance vectors in deep audit mode.
lygo-alignment-badge Advanced Features
- Container Health Optimization: Provides specialized flags to execute quick verification steps for Docker healthcheck routines.
- Automated Gauntlet Validator: Features dedicated script integration for rigorous multi-agent and lattice parity checking.
- Grok Deep Auditing: Enables comprehensive compliance checks that search for more than 60 independent validation issues.
- Secure Agent Constraints: Programmed to prevent autonomous codebases from manufacturing positive results without direct execution of the verification script, integrating cleanly with other Openclaw Skills.
SKILL.md
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