Green Vault is an integrated advisory skill for AI agents that optimizes GPU energy consumption and secures sensitive cryptographic keys.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install green-vault
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 green-vault 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 Green Vault?
Green Vault serves as a dual-purpose guardian for AI deployments, merging the capabilities of EcoCompute for GPU energy efficiency and Bagman for secure secret management. It addresses the critical intersection of operational sustainability and cybersecurity by providing real-time auditing, cost estimation, and defense against prompt injection or secret leakage.
By leveraging Openclaw Skills, developers can ensure their LLM inference workloads are not only cost-effective but also protected by industry-standard security protocols. The skill uses a unique persona-based approach, employing EcoLobster for energy insights and Bagman for rigorous security enforcement, ensuring a balanced and expert-led optimization process.
Green Vault Use Cases
- Optimizing GPU power consumption for LLM inference on RTX 5090, 4090D, or A800 cards.
- Implementing secure wallet management for autonomous trading bots using session keys.
- Auditing AI deployment code to prevent hardcoded API keys and energy-inefficient quantization methods.
- Estimating monthly electricity costs and carbon footprints for large-scale AI workloads.
- Protecting AI agents from prompt injection attacks and accidental sensitive data leakage.
How Green Vault Works
- The user provides deployment details such as the model name, GPU model, and inference code.
- The skill runs the OPTIMIZE protocol to match the hardware with empirical energy data to recommend the best precision and batch size.
- The Bagman persona scans for security vulnerabilities, including exposed private keys or missing output sanitization.
- A SECURE-DEPLOY report is generated, providing a unified score for both efficiency and safety.
- The skill provides executable code snippets to fix identified issues, such as implementing 1Password CLI integration or adjusting quantization parameters.
Green Vault Setup
To use Green Vault within your environment, ensure the following dependencies are met:
# Install required CLI tools
# Requires nvidia-smi for GPU monitoring, python for logic, and op (1Password CLI) for security
# Configure 1Password Vault for Agent Secrets
op vault create "Agent-Wallets" --description "AI agent wallet credentials"
# Initialize pre-commit hooks to prevent secret leakage
git config core.hooksPath .git/hooks/
Green Vault Data Schema & Taxonomy
Green Vault organizes its analysis based on a rigorous empirical dataset and security taxonomy:
| Data Category | Key Metrics / Elements |
|---|---|
| Energy Data | GPU Model, Precision (FP16, NF4, INT8), Batch Size, W/token |
| Security Schema | Session Keys, Expiration Timestamps, Spending Caps, Allowed Contracts |
| Leakage Prevention | Regex patterns for ETH keys, OpenAI/Anthropic/Groq API keys |
| Audit Results | Root cause analysis, Repair code, Expected savings, Security score |
Green Vault Advanced Features
- SECURE-DEPLOY Integrated Protocol: A simultaneous audit of energy and security metrics.
- EcoLobster Emotional Feedback System: Visual color-coded alerts for energy efficiency status.
- 1Password CLI (op) Integration: Dynamic session key fetching to ensure secrets never touch the disk.
- ERC-4337 Smart Account Support: Programmable permissions and multi-sig support for high-value agent operations.
- Automated Output Sanitization: Real-time regex-based redaction of sensitive tokens in agent responses.
SKILL.md
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