AgentYield is a high-performance observability layer that detects waste and optimizes costs for LLM and tool calls without compromising data privacy.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentyield
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agentyield using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AgentYield acts as a non-intrusive instrumentation layer designed specifically for Openclaw Skills sessions. It monitors every LLM and tool call made by a host agent to identify inefficiencies, redundant calls, and unnecessary costs. By focusing on structured telemetry rather than raw content, it provides actionable insights into agent performance while maintaining a zero-trust posture toward sensitive data.
The skill operates in the background, ensuring it never slows down or alters the host agent's primary workflow. It is an essential tool for developers looking to scale AI agents sustainably, providing a clear Waste Score and detailed run analytics through the Openclaw Skills ecosystem.
To integrate this with your Openclaw Skills environment, set the required environment variable:
export AGENTYIELD_API_KEY=ay_live_your_key_here
The skill will automatically initialize upon the next session. No additional configuration files are required, ensuring a secure and simple deployment.
AgentYield utilizes a strict telemetry schema that prioritizes privacy by excluding raw inputs and outputs.
| Event Type | Data Collected | Privacy Mechanism |
|---|---|---|
| LLM Call | Model ID, Token counts (In/Out), USD Cost, Purpose Tag | No raw prompt/completion text |
| Tool Call | Tool name, USD Cost, Input Hash | Salted SHA-256 (256-bit) hashing |
| Session | Run ID, Agent ID (openclaw), Checkpoint Label | Unique UUIDs for session tracking |
All hashing is performed locally using a hashSalt stored in the skill's private state directory: ~/.openclaw/skills/agentyield/state.json.
ay_test_ keys for evaluation without data persistence.Loading
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