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aipoch-ai

IRB Application Assistant

by AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install irb-application-assistant
Description
Assists researchers with Institutional Review Board (IRB) application tasks, including drafting informed consent documents, reviewing research protocols for...
README (SKILL.md)

IRB Application Assistant

Helps researchers prepare, review, and submit Institutional Review Board (IRB) applications. Supports drafting informed consent templates, checking protocol compliance, generating application documents, and guiding researchers through the submission workflow.

Quick Start

# Generate an informed consent template
python scripts/main.py --task consent --protocol protocol.json --output consent_form.docx

# Run a compliance check on a research protocol
python scripts/main.py --task compliance-check --protocol protocol.json --verbose

# Generate a full IRB application package
python scripts/main.py --task generate-application --config study_config.json --output irb_package/

Core Capabilities

1. Generate Informed Consent Documents

Produces compliant informed consent forms based on study parameters such as participant population, risk level, and study type.

python scripts/main.py --task consent \
  --protocol protocol.json \
  --population "adults 18+" \
  --risk-level minimal \
  --output consent_form.docx

2. Protocol Compliance Review

Checks a research protocol against IRB requirements and flags missing or non-compliant sections.

python scripts/main.py --task compliance-check \
  --protocol protocol.json \
  --ruleset federal-common-rule \
  --output compliance_report.txt

3. Application Form Generation

Generates completed IRB application forms (e.g., initial review, continuing review, amendment) from structured study data.

python scripts/main.py --task generate-application \
  --form-type initial-review \
  --config study_config.json \
  --output irb_application.docx

4. Submission Checklist Validation

Validates that all required documents and fields are present before submission.

python scripts/main.py --task validate-submission \
  --package irb_package/ \
  --output validation_report.txt

Recommended Workflow

Follow these steps for a complete IRB submission:

  1. Prepare study configuration — Populate study_config.json with study title, PI details, participant population, risk level, and procedures.
  2. Run compliance check — Use --task compliance-check to identify gaps in the protocol before drafting documents.
    • Checkpoint: If the compliance report flags ANY errors, resolve ALL flagged items and re-run --task compliance-check before proceeding. Do not advance to step 3 with unresolved compliance errors.
  3. Generate consent document — Use --task consent to produce a compliant informed consent form tailored to the study.
  4. Generate application forms — Use --task generate-application to produce the required IRB submission forms.
  5. Validate submission package — Use --task validate-submission to confirm all required documents are present and fields are complete.
    • Checkpoint: If validation fails, follow this loop: review errors in validation_report.txt → fix each issue → re-run --task validate-submission → only proceed when the report shows zero blocking errors.
  6. Review and submit — Manually review any remaining warnings in the compliance and validation reports before submitting to the IRB.

Quality Checklist

  • Protocol includes all required sections (purpose, procedures, risks, benefits, confidentiality)
  • Informed consent language is at appropriate reading level for participant population
  • Risk level classification is justified and documented
  • All required attachments (recruitment materials, surveys, data management plan) are included
  • Compliance report reviewed and all flagged items resolved
  • Submission package validated with zero blocking errors

References

  • references/guide.md — Detailed documentation and field descriptions
  • references/examples/ — Sample protocols, consent forms, and completed applications

Skill ID: 952 | Version: 1.0 | License: MIT

Usage Guidance
This package is incomplete and therefore suspicious rather than outright malicious: SKILL.md promises compliance checks, full application generation, .docx output, and references that aren't present, while the included script only writes simple plain-text templates. Before installing or relying on it, do not use it for any real IRB submission or PHI-containing data. If you consider using it: (1) inspect/run the Python script in a sandbox to confirm behavior, (2) ask the publisher for the missing files and an authoritative source or homepage, (3) verify there is no network I/O or logging of sensitive data, and (4) prefer established tools or institutional templates for regulatory work. If the author provides the missing implementation and documentation, reassess; currently treat this as incomplete and do not rely on it for compliance-critical tasks.
Capability Analysis
Type: OpenClaw Skill Name: irb-application-assistant Version: 1.0.0 The IRB Application Assistant is a straightforward tool for generating research protocol templates and consent forms. While there is a discrepancy between the documentation (SKILL.md), which describes advanced tasks like compliance checking, and the actual implementation (scripts/main.py), which only handles basic text generation, the code itself is safe. It contains no network activity, obfuscation, or unauthorized file access, and the instructions in SKILL.md do not attempt to manipulate the agent into performing harmful actions.
Capability Assessment
Purpose & Capability
SKILL.md describes multiple capabilities (compliance-check, generate-application, validate-submission, producing .docx packages, rulesets, references/) that would reasonably require significant code and data files. The included scripts/main.py only generates simple plain-text application and consent templates and exposes a --template flag; it does not implement --task options or compliance logic. Several referenced artifacts (protocol.json examples, study_config.json, references/ directory) are missing. This mismatch means the requested functionality is not actually provided.
Instruction Scope
The instructions tell users to run tasks that imply reading protocol/config files and producing validated packages, and they instruct workflows with mandatory compliance checkpoints. The actual runtime artifact (scripts/main.py) only composes and writes basic text templates and does not perform compliance checks, validation, or .docx generation. The SKILL.md therefore directs the agent and user to expect behaviors that are not implemented, which is misleading and could cause users to proceed under false assumptions. The SKILL.md also references files/paths that don't exist in the bundle.
Install Mechanism
No install spec or external downloads; this is an instruction-only skill with a small included Python script. Nothing is fetched from remote URLs and no archives are extracted, so install risk is low.
Credentials
The skill declares no required environment variables, credentials, or config paths and the script does not access network, environment variables, or external secrets. The requested privileges are proportionate to the code present.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify other skills. It does not try to write to global agent settings; persistence/privilege level is appropriate.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install irb-application-assistant
  3. After installation, invoke the skill by name or use /irb-application-assistant
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of IRB Application Assistant. - Assists researchers in preparing, reviewing, and submitting IRB applications. - Supports generation of informed consent documents, protocol compliance review, and application form creation. - Provides submission checklist validation to ensure completeness before IRB submission. - Includes recommended workflow and quality checklist for a streamlined IRB process. - Offers command-line examples for all supported tasks.
Metadata
Slug irb-application-assistant
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is IRB Application Assistant?

Assists researchers with Institutional Review Board (IRB) application tasks, including drafting informed consent documents, reviewing research protocols for... It is an AI Agent Skill for Claude Code / OpenClaw, with 146 downloads so far.

How do I install IRB Application Assistant?

Run "/install irb-application-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is IRB Application Assistant free?

Yes, IRB Application Assistant is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does IRB Application Assistant support?

IRB Application Assistant is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created IRB Application Assistant?

It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.

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