Agent skill

Rct Bias Assessment Rob

by aipoch in aipoch/medical-research-skills

Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report.

MITAuto-check passedResearch & Science

Install Rct Bias Assessment Rob

skills CLI
$ npx skills add aipoch/medical-research-skills --skill rct-bias-assessment-rob -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills rct-bias-assessment-rob --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Data Analysis/rct-bias-assessment-rob2' .claude/skills/rct-bias-assessment-rob && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
rct-bias-assessment-rob
GitHub stars
1.9k
Token cost
~1.5k tokens
SKILL.md length
662 words
Files
5 (incl. scripts, references)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/assess_rob2.py with… → …
  • You need to assess the quality of a clinical trial paper
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 5 more sections
  • Runs Python scripts from its folder; calls python

What it does

Rct Bias Assessment Rob is an agent skill from aipoch/medical-research-skills. Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Use when you need to assess the quality of a clinical trial paper or evaluate risk of bias.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `rct-bias-assessment-rob2_audit_result_v1.json`, `references/rob2_guidelines.md` and `scripts/assess_rob2.py`).

It sits in Research & Science, covering Clinical and healthcare research and Data analysis. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • You need to assess the quality of a clinical trial paper
  • Evaluate risk of bias

Example prompts

  • “Use the rct-bias-assessment-rob skill to automate Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and…”
  • “/rct-bias-assessment-rob”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/assess_rob2.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Rct Bias Assessment Rob loads about 1.5k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 662 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 662 words, ~1,465 tokens.

Download SKILL.mdSave it as .claude/skills/rct-bias-assessment-rob/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
rct-bias-assessment-rob
description
Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Use when you need to assess the quality of a clinical trial paper or evaluate risk of bias.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

RCT Bias Assessment (ROB2)

This skill assesses the risk of bias in Randomized Controlled Trials (RCTs) using the ROB2 tool. It analyzes the text for specific domains (Randomization, Deviations, Missing Data, Measurement, Reported Result) and synthesizes an overall judgement.

When to Use

  • Use this skill when you need automates risk of bias 2 (rob2) assessment for rct papers by analyzing text against specific domains and synthesizing a report. use when you need to assess the quality of a clinical trial paper or evaluate risk of bias in a reproducible workflow.
  • Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
  • Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
  • Use this skill when scripts/assess_rob2.py is the most direct path to complete the request.
  • Use this skill when you need the rct-bias-assessment-rob2 package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Use when you need to assess the quality of a clinical trial paper or evaluate risk of bias.
  • Packaged executable path(s): scripts/assess_rob2.py plus 1 additional script(s).
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

See ## Usage above for related details.

bash
cd "20260316/scientific-skills/Data Analytics/rct-bias-assessment-rob2"
python -m py_compile scripts/assess_rob2.py
python scripts/assess_rob2.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/assess_rob2.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/assess_rob2.py with additional helper scripts under scripts/.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.
Show full SKILL.md (270 more words)Show less

Usage

  1. Input: Provide the full text or relevant sections of the RCT paper.
  2. Process:
    • The skill extracts the Study Reference (Author, Year).
    • It assesses each of the 5 ROB2 domains in parallel (conceptually) or sequentially.
    • It synthesizes an overall risk judgement.
    • It outputs a JSON-structured summary and a detailed report.

Domain Assessment Guidelines

Refer to rob2_guidelines.md for the detailed questions and logic for each domain.

Workflow Steps
  1. Extract Study Info: Identify the first author and year (e.g., "Wang, 2018").
  2. Assess Domains:
    • Domain 1 (Randomization): Check allocation sequence and concealment.
    • Domain 2 (Deviations): Check blinding and protocol deviations.
    • Domain 3 (Missing Data): Check attrition and ITT analysis.
    • Domain 4 (Measurement): Check outcome measurement appropriateness.
    • Domain 5 (Reported Result): Check for selective reporting.
  3. Synthesize: Determine the Overall Risk of Bias based on the domain results.
    • High: Any domain is High.
    • Some concerns: No High, but at least one Some concerns.
    • Low: All domains are Low.

Output Format

The final output should be a JSON object compatible with the following schema:

json
{
  "Study": "Author, Year",
  "D1": "Low/Some concerns/High",
  "D2": "Low/Some concerns/High",
  "D3": "Low/Some concerns/High",
  "D4": "Low/Some concerns/High",
  "D5": "Low/Some concerns/High",
  "Overall": "Low/Some concerns/High"
}

Helper Scripts

PDF Text Extraction

When the user provides a PDF file path, use extract_pdf.py to extract the text content before assessment:

bash
python extract_pdf.py

This script will:

  • Extract text from the PDF file (e.g., gefitinib nejmoa0810699.pdf)
  • Save the extracted text to full_text.txt
  • Handle multi-page documents with proper page separators

Usage flow:

  1. User provides PDF file path
  2. Run python extract_pdf.py to extract text
  3. Read the generated full_text.txt file
  4. Perform ROB2 assessment on the extracted text
Text Cleaning

Use scripts/assess_rob2.py to clean the text output if needed (removing markdown code blocks) or to validate the JSON structure.

python
from scripts.assess_rob2 import clean_text

# usage
cleaned_json = clean_text(llm_output)

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in scientific-skills/Data Analysis/rct-bias-assessment-rob2 of aipoch/medical-research-skills.

  • SKILL.md
  • rct-bias-assessment-rob2_audit_result_v1.json
  • references/rob2_guidelines.md
  • scripts/assess_rob2.py
  • scripts/extract_pdf.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Rct Bias Assessment Rob next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Questions about Rct Bias Assessment Rob

What does Rct Bias Assessment Rob do?

Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Rct Bias Assessment Rob is an agent skill from aipoch/medical-research-skills. Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report.

When should I use Rct Bias Assessment Rob?

Rct Bias Assessment Rob fits situations like: you need to assess the quality of a clinical trial paper; evaluate risk of bias.

How do I install Rct Bias Assessment Rob in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill rct-bias-assessment-rob -a claude-code`. Or copy the skill folder (scientific-skills/Data Analysis/rct-bias-assessment-rob2 in aipoch/medical-research-skills) into .claude/skills/rct-bias-assessment-rob in your project. Claude Code loads it when a task matches its description.

How do I install Rct Bias Assessment Rob in Codex?

Run `npx skills add aipoch/medical-research-skills --skill rct-bias-assessment-rob -a codex`. Or copy the skill folder (scientific-skills/Data Analysis/rct-bias-assessment-rob2 in aipoch/medical-research-skills) into .agents/skills/rct-bias-assessment-rob in your project. Codex loads it when a task matches its description.

Can I use Rct Bias Assessment Rob in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill rct-bias-assessment-rob -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rct-bias-assessment-rob, .gemini/skills/rct-bias-assessment-rob, .github/skills/rct-bias-assessment-rob and .opencode/skills/rct-bias-assessment-rob in your project.

What does Rct Bias Assessment Rob need to run?

Going by SKILL.md and its folder, Rct Bias Assessment Rob needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Rct Bias Assessment Rob access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Rct Bias Assessment Rob safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Rct Bias Assessment Rob use?

Rct Bias Assessment Rob is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Rct Bias Assessment Rob use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 465 tokens, read only when the agent opens those files.

What are the alternatives to Rct Bias Assessment Rob?

Skills that share tags, products or a category with Rct Bias Assessment Rob: NeuroKit2 Biosignal Processing (davila7/claude-code-templates, 33k stars), openFDA Regulatory Data Queries (davila7/claude-code-templates, 33k stars), Neuropixels Data Analysis (davila7/claude-code-templates, 33k stars) and CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rct Bias Assessment Rob?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.