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irb-application-assistantIRB 申请助理

Agent Skill

irb-application-assistant 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,493

周安装

180

GitHub Stars

公开资料未说明

下载量

1,454
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:irb-application-assistant(IRB 申请助理)
来源仓库:https://github.com/aipoch-ai/irb-application-assistant
安装命令:
openclaw skills install irb-application-assistant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install irb-application-assistant

简介

协助起草 IRB 申请中的知情同意文件。

  • 审查研究方案和伦理合规性要点。irb-application-assistant 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 提供常见问题解答和格式规范指导。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 适用于科研人员和临床试验申报场景。
  • 输出内容为模板参考,需经法律顾问审核。

SKILL.md

name
irb-application-assistant
description
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.
allowed-tools
Read Write Bash Edit
license
MIT
metadata
skill-author
AIPOCH
version
1.0

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.

  1. Generate consent document — Use --task consent to produce a compliant informed consent form tailored to the study.
  2. Generate application forms — Use --task generate-application to produce the required IRB submission forms.
  3. 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.

  1. 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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.66%
按下载量换算1,260

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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