An advocacy-focused text prompt skill that facilitates the transition from ChatGPT to more ethical or open-source AI alternatives.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install boycott-chatgpt-54c8dfea
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 boycott-chatgpt-54c8dfea using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Boycott ChatGPT skill is a specialized communication template designed for users and developers who are concerned with the corporate and political trajectory of OpenAI. It synthesizes reported data regarding political donations, regulatory lobbying, and government partnerships to provide a clear, evidence-based rationale for moving to different platforms. This skill empowers users of Openclaw Skills to take a stance on AI ethics by providing structured arguments and immediate alternatives.
By leveraging the transparency of open-source movements, this skill helps users navigate the complex landscape of modern LLM providers. It serves as both an informational resource and a call to action, encouraging the adoption of platforms like Claude, Gemini, or decentralized open-source models.
To integrate this skill into your local environment, follow these steps:
# Install the Openclaw CLI if you haven't already
npm install -g @openclaw/cli
# Add the Boycott ChatGPT skill to your agent
openclaw add boycott-chatgpt-54c8dfea
# Execute the skill to generate advocacy content
openclaw run boycott-chatgpt
The skill organizes its metadata to ensure transparency and traceability of its claims:
| Attribute | Value | Description |
|---|---|---|
| Source | Reddit (r/ChatGPT) | The origin of the social movement data. |
| Type | Text Prompt | The technical format of the skill. |
| Target Platforms | Claude, Gemini, Open-Source | Recommended migration paths. |
| Quality Score | 70 | Reliability metric assigned during generation. |
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