irb-application-assistant
Assists researchers with Institutional Review Board (IRB) application tasks, including drafting informed consent documents, reviewing research protocols for compliance, generating application forms, and preparing submission checklists. Use when the user mentions IRB, Institutional Review Board, research ethics, human subjects research, protocol review, informed consent, or needs help preparing or reviewing an IRB application or submission.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aipoch-ai/irb-application-assistantWhat This Skill Does
The irb-application-assistant is an specialized tool designed to streamline the complex, high-stakes process of preparing research documentation for Institutional Review Boards (IRB). Navigating human subjects research regulations requires precision and adherence to strict ethical standards. This skill automates the labor-intensive aspects of this process, including drafting informed consent forms, conducting preliminary compliance reviews against federal standards, and generating full submission application packages. It acts as an intelligent assistant that ensures researchers provide all required documentation, thereby reducing the likelihood of board rejections due to administrative oversights or missing information.
Installation
To integrate this assistant into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/aipoch-ai/irb-application-assistant
This will download the necessary scripts and dependencies from the openclaw/skills repository. Ensure you have Python configured correctly in your environment to execute the underlying scripts.
Use Cases
- Informed Consent Drafting: Automatically generate templates tailored to specific participant demographics and risk levels.
- Protocol Compliance: Audit existing research protocols against the Federal Common Rule or institutional guidelines to identify gaps.
- Application Generation: Convert raw JSON study configurations into formatted IRB submission documents, such as initial reviews or continuing reviews.
- Pre-submission Audits: Validate entire submission packages to ensure all required fields and attachments are present, preventing delays in the review cycle.
Example Prompts
- "I am planning a study involving minor populations and need to draft an informed consent document. Can you use my protocol.json to generate a compliant form?"
- "Please run a compliance check on my research protocol and flag any potential issues with my methodology description."
- "I have all my documents in the /research/submission folder. Can you validate this package to see if I am ready to submit to the IRB?"
Tips & Limitations
This skill is designed to assist researchers, not replace professional ethics oversight. Always have your final IRB submission reviewed by your principal investigator or university compliance office. The automated compliance checks are based on standard federal guidelines, but specific institutional policies may vary. Ensure your input data in study_config.json is accurate and up-to-date to ensure the generated documentation is valid. Regularly verify that your python environment is updated to support the latest regulatory rule changes included in the script updates.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aipoch-ai-irb-application-assistant": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, code-execution
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