← Back to Skills Marketplace
97
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install nexus-edge-deployer
Description
Deploy 1-bit quantized AI models on VPS for Agent-as-a-Service with 98% margins.
Usage Guidance
Do not install or run this skill without clarification. Ask the author for an explicit list of required credentials (Hetzner API token, SSH key locations, model download endpoints), the exact binaries/tools it will call (Ollama, llama.cpp, monitoring agents), and any cloud-init scripts or templates to be used. If you must test it: use a throwaway/test Hetzner project with minimal-permission API tokens, review any cloud-init/user-data and automation scripts before execution, run in an isolated account or sandbox, and ensure model files come from trusted sources. The current metadata is inconsistent with the runtime actions described — that gap should be resolved before granting the skill access to credentials or letting it run autonomously.
Capability Analysis
Type: OpenClaw Skill
Name: nexus-edge-deployer
Version: 2.1.0
The skill bundle describes a legitimate utility for deploying and managing 1-bit quantized AI models on Hetzner VPS infrastructure. The instructions in SKILL.md focus on MLOps tasks such as provisioning via cloud-init, resource monitoring, and unit economics reporting, with no evidence of malicious intent, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The SKILL.md explicitly requires provisioning Hetzner VPSes via the cloud API, pre-loading models, and configuring Ollama/llama.cpp; yet the registry metadata lists no required environment variables, no required binaries, and no config paths. A legitimate deployer would normally require at minimum a Hetzner API token (or SSH keys), model artifacts or download endpoints, and the inference binaries (Ollama/llama.cpp) or install instructions.
Instruction Scope
Instructions direct the agent to provision servers, deploy personas, benchmark, and configure monitoring/auto-scaling. They are high-level and grant broad discretion (e.g., 'Provision VPS via Hetzner API with cloud-init') but provide no concrete safe defaults, no explicit credential handling, and no locations for cloud-init/model artifacts. That vagueness can lead an agent to seek credentials or run network actions not scoped in the metadata.
Install Mechanism
This is an instruction-only skill (no install spec), which is lower-risk in that it doesn't ship or execute code on install. However, the instructions implicitly require installing/using external tools (Ollama, llama.cpp, cloud-init, monitoring agents) but provide no guidance. The absence of an install spec is inconsistent with the operational requirements described.
Credentials
The skill declares no required environment variables or primary credential, but its workflow explicitly calls for Hetzner API provisioning and likely needs SSH keys, API tokens, or cloud credentials and access to model files. This mismatch is disproportionate and should be resolved before trusting the skill to act.
Persistence & Privilege
Flags show always:false and normal autonomous invocation settings. The skill does not request persistent presence or manipulate other skills' configs. No elevated platform privileges are declared.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nexus-edge-deployer - After installation, invoke the skill by name or use
/nexus-edge-deployer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.0
Summary: Version 2.1.0 introduces a detailed workflow, new model support, monitoring, and enhanced deployment features.
- Added support for deploying 1-bit quantized AI models (PrismML Bonsai, Microsoft BitNet) on minimal VPS infrastructure.
- New workflow section outlines client assessment, model selection, VPS provisioning, deployment, benchmarking, monitoring, and reporting.
- Enables calculation of Agent-as-a-Service (AaaS) unit economics, including cost, margin, and break-even analysis.
- Integrates Ollama or llama.cpp for multi-tenant inference serving and provides configuration guidelines.
- Automatic provisioning of Hetzner CX22 servers via Cloud API, with local inference for GDPR/HIPAA compliance.
- Introduces fleet monitoring: RAM, CPU, and tokens/sec per agent, plus scaling guidelines for up to 100+ agents.
- Offers best practices for benchmarking, agent density, security, and reporting cost savings.
Metadata
Frequently Asked Questions
What is nexus-edge-deployer?
Deploy 1-bit quantized AI models on VPS for Agent-as-a-Service with 98% margins. It is an AI Agent Skill for Claude Code / OpenClaw, with 97 downloads so far.
How do I install nexus-edge-deployer?
Run "/install nexus-edge-deployer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is nexus-edge-deployer free?
Yes, nexus-edge-deployer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does nexus-edge-deployer support?
nexus-edge-deployer is cross-platform and runs anywhere OpenClaw / Claude Code is available (macos, linux, windows).
Who created nexus-edge-deployer?
It is built and maintained by Shuwanito (@shuwanito); the current version is v2.1.0.
More Skills