The Reward Sciences skill enables AI agents to automate employee recognition programs and manage reward distribution via the Membrane CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reward-sciences
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 reward-sciences 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 Reward Sciences?
Reward Sciences is a robust platform designed for businesses to create, manage, and scale employee recognition and incentive programs. By utilizing this skill within Openclaw Skills, developers can programmatically interact with reward data to boost morale and track performance. The integration streamlines the process of managing users, campaigns, and complex reward logic, all while leveraging Membrane's secure infrastructure for authentication and credential management.
Reward Sciences Use Cases
- Automating the distribution of employee rewards based on custom performance milestones.
- Synchronizing user data and campaign memberships across HR and marketing platforms.
- Managing reward rules and frequencies to ensure consistent incentive delivery.
- Querying reward batch details for real-time reporting and engagement analytics.
How Reward Sciences Works
- Install the Membrane CLI to enable communication between the agent and the Reward Sciences API.
- Authenticate the session using the login command tailored for your specific Openclaw Skills environment.
- Create a secure connection to the Reward Sciences platform to handle OAuth and API key management.
- Discover available actions by querying intents like managing rewards or listing campaign members.
- Execute predefined actions or perform direct proxy requests to the Reward Sciences API with automatic header injection.
Reward Sciences Setup
To begin using this skill with Openclaw Skills, first install the global CLI:
npm install -g @membranehq/cli@latest
Next, authenticate your agent session:
membrane login --tenant --clientName=openclaw
Ensure a connection is established with Reward Sciences:
membrane connection ensure "https://www.rewardsciences.com/" --json
Follow the provided URL to complete authentication in your browser. Once the connection state is READY, your agent can begin executing actions.
Reward Sciences Data Schema & Taxonomy
The skill organizes Reward Sciences data into several key entities to ensure structured access and reporting:
| Entity | Description |
|---|---|
| Campaigns | Management of recognition initiatives and their associated members. |
| Users | Profiles and engagement data for program participants. |
| Rewards | Catalog of incentives, including reward batches and individual items. |
| Reward Rules | Logical conditions and actions that dictate when rewards are issued. |
| Frequencies | Configuration for how often specific rewards or rules can be triggered. |
Reward Sciences Advanced Features
- Server-side credential management with transparent token refreshing.
- Natural language intent discovery to find the most efficient action for a specific task.
- Direct API proxy support for executing custom endpoints not covered by standard actions.
- Context-aware tooling adjustments for specialized Openclaw Skills environments.
SKILL.md
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