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Agent skill

Rct Bias Assessment Rob2

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 Rob2

skills CLI
$ npx skills add aipoch/medical-research-skills --skill rct-bias-assessment-rob2 -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills rct-bias-assessment-rob2 --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/Evidence Insight/rct-bias-assessment-rob2' .claude/skills/rct-bias-assessment-rob2 && 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-rob2
GitHub stars
1.9k
Token cost
~1.6k tokens
SKILL.md length
760 words
Files
6 (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 2 steps: Input: Provide the full text or relevant… → Process
  • You need to assess the quality of a clinical trial paper
  • SKILL.md covers Usage, Domain Assessment Guidelines, Output Format and Helper Scripts, plus 8 more sections
  • Runs Python scripts from its folder; calls python

What it does

Rct Bias Assessment Rob2 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 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `POLISH_CHANGELOG.md`, `eval_report_rct-bias-assessment-rob2_result.json` and `references/rob2_guidelines.md`).

It sits in Research & Science, covering Clinical and healthcare research. 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-rob2 skill to automate Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and…”
  • “/rct-bias-assessment-rob2”

Requirements

  • Python 3

Workflow steps

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

  1. Input: Provide the full text or relevant sections of the RCT paper.
  2. Process

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 Rob2 loads about 1.6k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 760 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
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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). 760 words, ~1,600 tokens.

Download SKILL.mdSave it as .claude/skills/rct-bias-assessment-rob2/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
rct-bias-assessment-rob2
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.

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)

When to Use

  • Use this skill when the user explicitly needs to perform the core task of rct-bias-assessment-rob2 and has provided the minimum executable input.
  • Use this skill when you need a structured deliverable rather than general advice.
  • Use this skill when the current task can be completed using this skill's bundled scripts, templates, or reference materials.

When Not to Use

  • Do not proceed when required input files, identifiers, parameters, or context are missing — ask the user to provide them first.
  • Do not assume capabilities beyond this skill's declared scope when the user requests external operations or inferences.
  • Do not proceed without user confirmation when overwriting existing results, executing high-cost batch operations, or expanding task scope.
Show full SKILL.md (333 more words)Show less

Required Inputs

FieldRequiredFormat/SourceExampleIf Missing
User task descriptionYesTextResearch question, writing goal, analysis objectiveStop and ask user to provide
Primary input materialDepends on taskText, file path, ID, table, or literaturePMID, PDF, CSV, DOCX, keywords, etc.Specify which material type is missing
Output preferenceNoTextLanguage, format, target journal, templateUse skill default format

Output Contract

  • Primary output: Structured result or target file aligned with this skill's objective.
  • Optional output: Intermediate check notes, issue list, supplementary suggestions, or generated file paths.
  • Format requirement: Unless the user specifies otherwise, prefer stable, reviewable Markdown or JSON; if the skill's bundled script requires a fixed format, use that format.
  • If partially complete: Must explicitly mark as PARTIAL and state which steps are completed and which remain.

Failure Handling

  • Missing critical input: Explicitly state which fields, files, or identifiers are missing and pause.
  • Script, template, or resource execution failure: Report the failing step, likely cause, and recovery suggestions — do not silently degrade.
  • Partial completion only: Return the verified portion first, then list remaining blockers and suggested next steps.

User Checkpoints

  • Before executing batch processing, overwriting files, long-running searches, or multi-stage generation, confirm scope and output format with the user.
  • Before proceeding when a key judgment is ambiguous, evidence is insufficient, or the workflow is entering the next stage, confirm with the user.

Input Validation

This skill accepts requests that match the documented purpose of rct-bias-assessment-rob2 and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

rct-bias-assessment-rob2 only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Quick Validation

  • Check that key scripts, templates, or reference file paths this skill depends on exist.
  • Check that the final output contains the core fields, sections, or files specified for this task.
  • Check that results clearly mark assumptions, limitations, and incomplete items.

© 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 5 other files (scripts, references) in scientific-skills/Evidence Insight/rct-bias-assessment-rob2 of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_rct-bias-assessment-rob2_result.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 Rob2 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.

Rct Bias Assessment Rob2 compared with similar skills
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Rct Bias Assessment Rob2 this skillaipoch/medical-research-skills1.9k—~1.6kAutomated safety check: PassMIT
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Wes Clinical Report EnClawBio/ClawBio1.2k1 repos~1.8kAutomated safety check: PassProprietary
Wes Clinical Report EsClawBio/ClawBio1.2k1 repos~2.1kAutomated safety check: PassProprietary
Mllm EvalAperivue/medsci-skills333—~1.9kAutomated safety check: PassMIT
Clinical Trial Ipd SimRConsortium/pharma-skills120—~4.1kAutomated safety check: PassMIT

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Categories

Questions about Rct Bias Assessment Rob2

What does Rct Bias Assessment Rob2 do?

Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Rct Bias Assessment Rob2 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 Rob2?

Rct Bias Assessment Rob2 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 Rob2 in Claude Code?

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

How do I install Rct Bias Assessment Rob2 in Codex?

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

Can I use Rct Bias Assessment Rob2 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-rob2 -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-rob2, .gemini/skills/rct-bias-assessment-rob2, .github/skills/rct-bias-assessment-rob2 and .opencode/skills/rct-bias-assessment-rob2 in your project.

What does Rct Bias Assessment Rob2 need to run?

Going by SKILL.md and its folder, Rct Bias Assessment Rob2 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 Rob2 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 Rob2 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 Rob2 use?

Rct Bias Assessment Rob2 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 Rob2 use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Rob2?

Skills that share tags, products or a category with Rct Bias Assessment Rob2: Clinical Decision Support (ynulihao/AgentSkillOS, 618 stars), Wes Clinical Report En (ClawBio/ClawBio, 1.2k stars), Wes Clinical Report Es (ClawBio/ClawBio, 1.2k stars) and Mllm Eval (Aperivue/medsci-skills, 333 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 Rob2?

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.