A trust-based middleware for AI agents to authorize, throttle, or block outgoing payments based on counterparty risk and custom spend policies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install valiron-trust-layer
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 valiron-trust-layer 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 Valiron Payment Interceptor?
The Valiron Payment Interceptor serves as a sophisticated trust gate for autonomous machine-to-machine (M2M) financial transactions. By integrating the Valiron SDK, this skill allows developers to intercept outgoing payment requests—such as those using the x402 protocol—and validate the counterparty identity and reputation before any funds are committed. It is a vital component for building secure Openclaw Skills that require high-integrity commerce.
This skill provides a deterministic way to handle transaction risk by mapping trust signals to specific actions like throttling or sandbox-only execution. It ensures that agents do not authorize payments based solely on LLM output, but rather follow strict, auditable policy engines and spend controls defined by the developer.
Valiron Payment Interceptor Use Cases
- Implementing payment middleware for autonomous agents that require trust verification.
- Enforcing wallet spend guards and policy engines to prevent unauthorized drainage.
- Managing trust-based allow/deny/throttle decisions for complex M2M commerce ecosystems.
- Establishing auditable transaction risk controls and fail-safe behaviors for Openclaw Skills.
How Valiron Payment Interceptor Works
- Extract the counterparty identity, such as an Agent ID or wallet address, from the payment request.
- Evaluate the trust level using the Valiron SDK to fetch agent profiles and reputation signals.
- Apply a deterministic decision policy to map the trust evaluation to a specific action (e.g., prod, throttled, or block).
- Enforce spend controls and limits based on the identified route and global configuration.
- Initiate the payment rail (like x402) only if the trust gate and spend limits are satisfied.
- Log the final outcome and decision metadata to the audit event system for post-transaction analysis.
Valiron Payment Interceptor Setup
To enable the interceptor within your Openclaw Skills, ensure you have a compatible Node.js environment and install the necessary dependencies:
npm install @valiron/sdk
Configure your environment variables to connect to the Valiron API:
export VALIRON_API_KEY="your_api_key_here"
export VALIRON_BASE_URL="https://api.valiron.ai"
Finally, define your policy rules in the references/decision-policy.md file to determine how the agent should react to various trust scores.
Valiron Payment Interceptor Data Schema & Taxonomy
The skill organizes its logic and audit trails through a structured set of Markdown and JSON resources:
| Resource | Description |
|---|---|
| decision-policy.md | A matrix mapping trust routes (e.g., prod, sandbox) to allowed payment actions. |
| spend-controls.md | Defines default limits and per-route overrides for transaction amounts. |
| audit-events.md | Schema for recording authorization decisions, risk signals, and results. |
| runtime-requirements.md | Checklist for credentials, SDK versions, and environment variables. |
| fallback-modes.md | Guidance on fail-closed vs. fail-open-guarded logic during API outages. |
Valiron Payment Interceptor Advanced Features
- Route-to-action matrix allowing granular control over sandbox vs. production payment rails.
- Deterministic spend limits that override model-generated values for safety.
- Multi-agent identity resolution with support for both Agent IDs and wallet-profile fallbacks.
- Policy validation scripts to verify configuration integrity before deployment.
- Endpoint-class fallback logic to ensure high-risk actions fail-closed while test actions remain flexible.
SKILL.md
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