ASF V4.0 is a professional-grade governance and optimization module providing veto execution, ownership proofs, and economic modeling for AI agent systems.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install anfsf-v1
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 anfsf-v1 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 ASF V4.0 Industrial Enhancement Module?
ASF V4.0 is an advanced industrial enhancement module specifically designed for the Openclaw Skills ecosystem to bring high-level governance, cost modeling, and security optimization to AI workflows. It serves as a comprehensive control plane that allows developers to implement strict safety gates and economic evaluations, ensuring that agentic operations are both cost-effective and compliant with organizational standards.
By integrating this module, users gain access to sophisticated tools for predicting rework risks and performing safe online optimizations with built-in rollback protection. This makes it an essential component for developers building resilient, multi-agent systems within the Openclaw Skills framework where accountability and resource efficiency are paramount.
ASF V4.0 Industrial Enhancement Module Use Cases
- Implementing hard and soft veto gates for automated system changes to prevent breaking updates.
- Generating verifiable single-writer ownership proofs to maintain data integrity across distributed agents.
- Optimizing role allocation based on economic scoring and interface cost analysis.
- Predicting task rework risks to improve project timelines and reduce resource waste.
- Managing cross-role dependencies through rigorous interface budget calculations.
How ASF V4.0 Industrial Enhancement Module Works
- The module integrates into the Openclaw Skills architecture, specifically impacting layers ranging from the Requirement Graph to Runtime Intelligence.
- Developers define governance rules and economic weights in the YAML configuration file to set the operational boundaries.
- When an agent proposes a change, the veto-check tool validates the action against predefined hard or soft rules.
- Ownership proofs are generated for resources to ensure clear accountability and conflict resolution.
- The system continuously calculates economic scores and rework risks to provide real-time feedback on the health and efficiency of the agentic workflow.
ASF V4.0 Industrial Enhancement Module Setup
To get started with ASF V4.0, ensure your environment meets the requirements (Node.js >=20.0.0 and OpenClaw >=2026.3.24).
Check the installation status:
asf:status
Configure your governance settings in config/asf-v4.config.yaml:
veto:
mode: default
economics:
scoreWeights:
interfaceCost: -0.30
skillMatch: 0.20
optimizer:
enabled: true
ASF V4.0 Industrial Enhancement Module Data Schema & Taxonomy
The module organizes data around governance rules, economic metrics, and architectural layers. The following table describes the primary configuration areas:
| Area | Key Metrics/Settings | Description |
|---|---|---|
| Veto Mode | default, strict, custom | Determines the rigidity of change validation gates. |
| Economics | scoreWeights | Weights for interface costs, bottlenecks, and skill matching. |
| Optimizer | cooldownMs, failureThreshold | Parameters for safe online optimization and rollback triggers. |
| Architecture | Layers 4, 8.5, 9, 13, 16 | The specific functional layers enhanced by the module. |
ASF V4.0 Industrial Enhancement Module Advanced Features
- Multi-layer architectural impact providing semantic consistency and runtime intelligence.
- Automated evolution guardians that monitor system changes and trigger rollbacks upon failure detection.
- Contract-based semantic diffing to ensure consistency across complex agent interactions.
- Interface Budget v2 for managing the economic cost of cross-role dependencies within Openclaw Skills.
- Real-time KPI dashboards for tracking agent performance and role-based efficiency.
SKILL.md
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