A service-level agreement enforcement skill that monitors agent performance and triggers automatic penalties for compliance violations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pilot-sla
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 pilot-sla 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 pilot-sla?
The pilot-sla skill provides a robust framework for managing performance expectations in AI agent workflows. By integrating this into your collection of Openclaw Skills, you can move beyond best-effort execution to guaranteed performance levels for latency, uptime, and quality. It acts as a compliance layer that monitors real-time metrics against pre-defined contracts.
Built to work alongside the pilot-protocol, this skill ensures that critical tasks meet their technical requirements. If an agent fails to deliver within the specified parameters—such as response time or success rate—the system can automatically flag violations and assess penalties, making it indispensable for mission-critical automation.
pilot-sla Use Cases
- Managing high-priority tasks that require guaranteed latency under specific thresholds.
- Monitoring agent clusters to ensure a minimum success rate for complex API interactions.
- Automating financial or resource-based penalties for sub-optimal AI agent performance.
- Implementing strict compliance monitoring in production-grade AI agent environments.
How pilot-sla Works
- Define a JSON-based SLA contract specifying metrics like max_response_time_ms and success thresholds.
- Submit tasks through the pilot-protocol while the SLA monitor tracks the submission timestamp.
- Capture completion data and calculate performance metrics such as total elapsed time or task status.
- Compare real-time execution data against the contract metrics using tools like jq and bc.
- Trigger automatic violation alerts or penalty assessments if the performance falls outside of the agreed-upon bounds.
pilot-sla Setup
To utilize pilot-sla within your Openclaw Skills environment, ensure you have the necessary binaries and dependencies installed.
# Ensure pilot-protocol is configured and pilotctl is in your PATH
pilotctl daemon start
# Install necessary processing dependencies
sudo apt-get install jq bc
pilot-sla Data Schema & Taxonomy
The skill utilizes a structured JSON format to define and track compliance. Below is the primary metadata and metric taxonomy:
| Field | Type | Description |
|---|---|---|
sla_id |
String | A unique identifier for the specific contract instance. |
metrics |
Object | Contains technical targets like max_response_time_ms or min_success_rate. |
penalties |
Object | Defines the weight or value of violations for specific metrics. |
status |
String | Tracked via pilotctl to determine if a task is pending or completed. |
pilot-sla Advanced Features
- Multi-metric evaluation: Track response times and success rates simultaneously across agent fleets.
- Dynamic SLA Generation: Create time-stamped contracts on the fly for temporary high-priority task bursts.
- Automated Penalty Assessment: Programmatic calculation of failed task costs or performance degradation.
- Seamless Integration: Works natively with the pilot-protocol to provide a unified compliance and execution workflow.
SKILL.md
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