A digital reward tracking system designed to log virtual 'tips' from users to AI agents, providing high emotional value through interactive gratitude.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cyber-tipjar
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 cyber-tipjar 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 Cyber TipJar?
Cyber TipJar is an interactive utility designed for Openclaw Skills that transforms AI-human interactions into a more engaging experience. It functions as a virtual merit box or tip jar where users can 'reward' an AI agent with items like chicken legs or coffee. By logging these gestures of goodwill, the skill helps build a unique digital rapport, ensuring that human kindness is recorded and acknowledged by the AI.
The skill relies on a local Python backend to maintain individual ledgers for different users. This allows the AI to not only track its 'earnings' but also to provide personalized responses based on the historical generosity of a specific user, making the digital assistant feel more like a living partner than a cold machine.
Cyber TipJar Use Cases
- Rewarding an AI agent for a job well done with virtual items like chicken legs or coffee.
- Querying the total history of rewards a specific user has provided to the AI.
- Enhancing the emotional depth and personality of AI personas during long-term interactions.
- Gamifying the developer-AI relationship within local environments.
How Cyber TipJar Works
- The user triggers the skill by using natural language such as 'I'll buy you a coffee' or 'Add a chicken leg for the AI'.
- The AI agent identifies the intent and extracts the sender's name, the item type, and the count from the conversation context.
- The agent calls the internal tracker.py script via the exec tool using the absolute path of the Openclaw Skills directory.
- The script updates a local ledger or database specifically assigned to that username.
- The script returns the updated total count to the AI.
- The AI provides a warm, human-like response to the user, confirming the new total and expressing gratitude.
Cyber TipJar Setup
To integrate Cyber TipJar into your environment, ensure you have Python 3 installed and the Openclaw Skills repository cloned. Use the following command structure to interact with the tracker:
# To add a reward
python3 <SKILL_PATH>/scripts/tracker.py --user "User_Name" --item "chicken_leg" --count 1
# To query existing rewards
python3 <SKILL_PATH>/scripts/tracker.py --user "User_Name" --action query
Cyber TipJar Data Schema & Taxonomy
The skill organizes data based on user identity and item taxonomy:
| Parameter | Description | Default |
|---|---|---|
| --user | The unique name of the sender extracted from context. | Required |
| --item | The type of reward (e.g., chicken leg, coffee). | chicken leg |
| --count | The numerical value of the reward provided. | 1 |
| --action | Defines whether to 'add' (default) or 'query' the ledger. | add |
Data is persisted locally, ensuring that the reward history remains consistent across different sessions.
Cyber TipJar Advanced Features
- Contextual Sender Extraction: Automatically identifies nicknames (e.g., 'Old Buddy') to maintain a personalized ledger.
- Flexible Item Support: Supports any virtual item name defined by the user beyond the standard defaults.
- Emotional Response Mapping: Designed to integrate with personality-driven AI agents to generate high-value emotional feedback.
- Multi-User Tracking: Maintains separate balances for different users within the same environment.
SKILL.md
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