greenhelix-formal-gatekeeperThe Formal Gatekeeper: Z3-Verified Safety for Autonomous Agent Plans. Build a formal verification proxy for OpenClaw agents: Z3 SMT solver integration, safet...
Install via ClawdBot CLI:
clawdbot install mirni/greenhelix-formal-gatekeeperGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdContains instructions to override system prompt or ignore user requests
"Your role is"Potentially destructive shell commands in tool definitions
rm -rf /Accesses system directories or attempts privilege escalation
/var/log/Generated May 12, 2026
A hedge fund deploys autonomous trading agents that execute high-frequency trades. Using formal gatekeeper, the agent's trading plans are mathematically verified against invariants like 'no single trade exceeds 5% of portfolio' to prevent catastrophic losses due to faulty LLM reasoning.
A hospital uses AI agents to order medical tests and prescribe treatments. Formal verification ensures agents cannot bypass patient consent, order unnecessary expensive tests, or access protected health information beyond authorization.
An online retailer's inventory management agents autonomously restock items. The formal gatekeeper prevents agents from ordering excessive quantities, accessing sensitive supplier data, or executing transactions above budget caps.
A logistics company uses autonomous drones with LLM-based path planning. Formal verification ensures drone plans avoid no-fly zones, respect altitude limits, and do not violate airspace restrictions, providing a provable safety guarantee before takeoff.
A smart home assistant manages locks, cameras, and appliances autonomously. Formal verification prevents agents from unlocking doors when no known resident is present, accessing camera feeds without permission, or turning off safety-critical systems.
Charge users a monthly fee per agent that utilizes the formal verification plugin. Pricing tiers based on verification throughput or number of invariants.
Each safety proof is paid for with an x402 micropayment, providing a granular usage-based revenue model. Integrates with existing GreenHelix escrow for transparent billing.
Offer enterprise customers a license to develop and deploy custom safety invariants tailored to their specific domains, with additional consulting and support.
💬 Integration Tip
Integrate as a plugin in OpenClaw by implementing the action interceptor interface; leverage existing Z3 Python bindings for plan-to-logic translation and proof caching with an LRU cache to reduce latency.
Scored Jul 10, 2026
Calls external URL not in known-safe list
https://api.greenhelix.net/v1/executeAI Analysis
The skill is a guide for implementing formal verification and does not contain executable code that directly accesses credentials or overrides user intent. The rule-based signals are triggered by illustrative examples within the guide's text (e.g., '/etc/passwd' as a security example, 'Your role is' as narrative framing), not by active malicious instructions. The external API mentioned is consistent with the skill's stated purpose of integrating with the GreenHelix platform.
Audited Apr 17, 2026 · audit v1.0
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.