An automated scientific research framework that handles the end-to-end pipeline from idea generation to paper compilation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install denario-skill
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 denario-skill 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 Denario Skill?
The Denario Skill is a sophisticated wrapper for the Denario framework, designed to streamline scientific research through automation. By leveraging Z.ai integration, it enables researchers and developers to systematically generate research ideas, develop robust methodologies, and compile complete papers. This skill is a powerful addition to the library of Openclaw Skills, allowing for a structured Maker/Hater loop to refine concepts and produce high-quality academic output. It manages its own environment and dependencies, ensuring a seamless experience within the AI agent ecosystem.
Denario Skill Use Cases
- Generating novel research ideas through iterative Maker/Hater loops.
- Developing detailed scientific methodologies and experiment designs.
- Automating the generation of complex results and data analysis.
- Compiling comprehensive academic papers ready for review.
- Managing and formatting citations automatically for academic integrity.
How Denario Skill Works
- The user initiates a specific research stage using defined trigger phrases such as "Denario idea" or "Denario methods".
- The Openclaw Skills engine executes the wrapper.sh script located in the skill root directory.
- Upon the first execution, the system automatically creates a dedicated virtual environment at ~/.denario_skill_env and installs necessary dependencies.
- The skill communicates with the Z.ai/Zhipu API using the configured environment variables to perform reasoning and drafting tasks.
- Research data progresses through modular stages (Idea, Methods, Results, Paper) until the final document is compiled.
Denario Skill Setup
To utilize this skill, you must provide a valid Z.ai or Zhipu API key. This is configured via the environment variables for Openclaw Skills. Run the following command in your terminal:
clawdbot config set env.OPENAI_API_KEY <your-key>
The skill will automatically manage the creation of the required virtual environment and dependency installation upon its first run.
Denario Skill Data Schema & Taxonomy
The Denario Skill organizes its workflow and environment based on the following structure:
| Component | Description |
|---|---|
| Virtual Environment | Located at ~/.denario_skill_env for dependency isolation. |
| Engine Wrapper | Uses scripts/wrapper.sh to manage execution flow. |
| Core Logic | Executed via the test_denario.py script. |
| API Integration | Requires OPENAI_API_KEY environment variable for Z.ai access. |
| Working Directory | Operates within the local skill root directory. |
Denario Skill Advanced Features
- Maker/Hater loop functionality for rigorous research idea validation.
- Automated citation management and bibliographic organization.
- Full pipeline automation from initial hypothesis to final paper compilation.
- Self-provisioning environment that handles virtualenv setup automatically.
- Modular trigger system allowing users to enter the research lifecycle at any stage.
SKILL.md
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