New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Diagnostic Study Quality Assessment Quadas

by aipoch in aipoch/medical-research-skills

Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.

MITAuto-check passedData & Analytics

Install Diagnostic Study Quality Assessment Quadas

skills CLI
$ npx skills add aipoch/medical-research-skills --skill diagnostic-study-quality-assessment-quadas -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills diagnostic-study-quality-assessment-quadas --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/diagnostic-study-quality-assessment-quadas-2' .claude/skills/diagnostic-study-quality-assessment-quadas && 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
diagnostic-study-quality-assessment-quadas
GitHub stars
1.9k
Token cost
~1.4k tokens
SKILL.md length
608 words
Files
7 (incl. scripts, references, assets)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/pdf_extractor.py with… → …
  • Claude needs to assess the quality
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 6 more sections
  • Runs Python scripts from its folder; calls python and pip

What it does

Diagnostic Study Quality Assessment Quadas is an agent skill from aipoch/medical-research-skills. Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool. Use when Claude needs to assess the quality, risk of bias, or applicability of diagnostic accuracy studies (e.g., "Assess this paper using QUADAS-2").

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `diagnostic-study-quality-assessment-quadas-2_audit_result_v1.json`, `references/api_reference.md` and `references/quadas_2_criteria.md`).

It sits in Data & Analytics, covering 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

  • Claude needs to assess the quality
  • Applicability of diagnostic accuracy studies (e.g.
  • Assess this paper using QUADAS-2)

Example prompts

  • “Assess this paper using QUADAS-2”
  • “Use the diagnostic-study-quality-assessment-quadas skill to analyz clinical diagnostic accuracy studies for bias using the QUADAS-2 tool”
  • “/diagnostic-study-quality-assessment-quadas”

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/pdf_extractor.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
    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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

Diagnostic Study Quality Assessment Quadas loads about 1.4k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 608 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

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). 608 words, ~1,432 tokens.

Download SKILL.mdSave it as .claude/skills/diagnostic-study-quality-assessment-quadas/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
diagnostic-study-quality-assessment-quadas
description
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool. Use when Claude needs to assess the quality, risk of bias, or applicability of diagnostic accuracy studies (e.g., "Assess this paper using QUADAS-2").
license
MIT
author
AIPOCH

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

Clinical Study Bias Assessment (QUADAS-2)

This skill evaluates clinical diagnostic accuracy studies for bias and applicability concerns using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool.

When to Use

  • Use this skill when you need analyzes clinical diagnostic accuracy studies for bias using the quadas-2 tool. use when claude needs to assess the quality, risk of bias, or applicability of diagnostic accuracy studies (e.g., "assess this paper using quadas-2") 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/pdf_extractor.py is the most direct path to complete the request.
  • Use this skill when you need the diagnostic-study-quality-assessment-quadas-2 package behavior rather than a generic answer.

Key Features

  • Scope-focused workflow aligned to: Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool. Use when Claude needs to assess the quality, risk of bias, or applicability of diagnostic accuracy studies (e.g., "Assess this paper using QUADAS-2").
  • Packaged executable path(s): scripts/pdf_extractor.py plus 1 additional script(s).
  • Reference material available in references/ for task-specific guidance.
  • Reusable packaged asset(s), including assets/example_asset.txt.
  • 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

bash
cd "20260316/scientific-skills/Data Analytics/diagnostic-study-quality-assessment-quadas-2"
python -m py_compile scripts/pdf_extractor.py
python scripts/pdf_extractor.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/pdf_extractor.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related 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/pdf_extractor.py with additional helper scripts under scripts/.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Packaged assets: reusable files are available under assets/.
  • 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 (223 more words)Show less

Workflow

To assess a study, follow these steps:

  1. Analyze Patient Selection:

    • Assess if the sample was consecutive or random.
    • Check for case-control design (should be avoided).
    • Check for inappropriate exclusions.
    • See references/quadas_2_criteria.md for detailed signaling questions.

  2. Analyze Index Test:

    • Assess if the index test results were interpreted without knowledge of the reference standard.
    • Check if the threshold was pre-specified.

  3. Analyze Reference Standard:

    • Assess if the reference standard correctly classifies the target condition.
    • Check if reference standard results were interpreted without knowledge of the index test.

  4. Analyze Flow and Timing:

    • Assess the interval between index test and reference standard.
    • Check if all patients received the reference standard (and the same one).
    • Check if all patients were included in the analysis.

Output Format

For each domain (Patient Selection, Index Test, Reference Standard, Flow and Timing), you MUST output the findings in the following structure:

markdown

### [Domain Name]

**[Signaling Question 1]?**
- Comments: [Explanation in Chinese]
- Quote: [Original text quote]
- Answer: [Yes/No/Unclear]

... (Repeat for all signaling questions)

Quality Rules

  1. Language: Explanations (Comments) must be in Chinese.
  2. Evidence: Every judgment must be supported by a direct quote from the paper.
  3. Strictness: If information is missing, select "Unclear". Do not guess.

PDF Parsing Tool

For processing PDF literature, you can use the provided Python script:

bash

# Install dependencies
pip install PyPDF2

# Extract full text
python scripts/pdf_extractor.py "paper.pdf"

# Extract specific page range
python scripts/pdf_extractor.py "paper.pdf" 5 15

The script will automatically extract the text, which you can then copy and send to me for QUADAS-2 assessment.

References

© 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 6 other files (scripts, references, assets) in scientific-skills/Data Analysis/diagnostic-study-quality-assessment-quadas-2 of aipoch/medical-research-skills.

  • SKILL.md
  • assets/example_asset.txt
  • diagnostic-study-quality-assessment-quadas-2_audit_result_v1.json
  • references/api_reference.md
  • references/quadas_2_criteria.md
  • scripts/pdf_extractor.py
  • scripts/quadas_assessment.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Diagnostic Study Quality Assessment Quadas 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.

Diagnostic Study Quality Assessment Quadas compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Diagnostic Study Quality Assessment Quadas this skillaipoch/medical-research-skills1.9k—~1.4kAutomated safety check: PassMIT
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT
Excel and CSV Data Analysisbytedance/deer-flow84k4 repos~2.2kAutomated safety check: PassMIT
Exploratory Data AnalysisOleafly/Oleafly2122 repos~3.4kAutomated safety check: NotesMIT
Raccoon DataanalysisSenseTime-Copilot/raccoon-dataanalysis-skill137—~1.9kAutomated safety check: PassNone
CSV Data Analysis5zjk5/prompt-engineering127—~2.6kAutomated safety check: PassNone

Similar skills

  • Exploratory Data Analysis

    spacering-net/codeg

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Data & AnalyticsAuto-check passed

  • Excel and CSV Data Analysis

    bytedance/deer-flow

    Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.

    84k GitHub starsUsed in 4 repos~2.2k tokens
    Data & AnalyticsAuto-check passed

  • Exploratory Data Analysis

    Oleafly/Oleafly

    Perform bounded, local exploratory analysis of explicitly supported scientific files.

    212 GitHub starsUsed in 2 repos~3.4k tokens
    Data & AnalyticsAuto-check: notes

  • Raccoon Dataanalysis

    SenseTime-Copilot/raccoon-dataanalysis-skill

    Raccoon (小浣熊) Data Analysis - Remote code interpreter and data visualization service powered by SenseTime.

    137 GitHub stars~1.9k tokensUpdated 6 mo ago
    Data & AnalyticsAuto-check passed

  • CSV Data Analysis

    5zjk5/prompt-engineering

    This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations.

    127 GitHub stars~2.6k tokensUpdated 26 days ago
    Data & AnalyticsAuto-check passed

  • Statistical Data Analysis

    lingzhi227/agent-research-skills

    Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

    390 GitHub stars~886 tokensUpdated 7 mo ago
    Data & AnalyticsAuto-check passed

More from aipoch/medical-research-skills

All 578 skills in this repo

  • Academic Poster Generator

    aipoch/medical-research-skills

    Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…

    1.9k GitHub stars~2.2k tokensUpdated 24 days ago
    Auto-check passed

  • Exploratory Data Analysis

    aipoch/medical-research-skills

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    1.9k GitHub stars~3.7k tokensUpdated 24 days ago
    Auto-check passed

  • Iso Certification

    aipoch/medical-research-skills

    A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.

    1.9k GitHub stars~1.8k tokensUpdated 24 days ago
    Auto-check passed

  • Journal Skills

    aipoch/medical-research-skills

    Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…

    1.9k GitHub stars~1.7k tokensUpdated 24 days ago
    Auto-check passed

  • Latex Posters

    aipoch/medical-research-skills

    Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.

    1.9k GitHub stars~1.3k tokensUpdated 24 days ago
    Auto-check passed

  • Neuropixels Analysis

    aipoch/medical-research-skills

    End-to-end Neuropixels extracellular electrophysiology analysis (SpikeGLX/Open Ephys/NWB) including preprocessing, motion correction, Kilosort4 spike sorting, QC metrics, and Allen/IBL-style…

    1.9k GitHub stars~2.4k tokensUpdated 24 days ago
    Auto-check passed

Categories

Questions about Diagnostic Study Quality Assessment Quadas

What does Diagnostic Study Quality Assessment Quadas do?

Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool. Diagnostic Study Quality Assessment Quadas is an agent skill from aipoch/medical-research-skills. Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.

When should I use Diagnostic Study Quality Assessment Quadas?

Diagnostic Study Quality Assessment Quadas fits situations like: Claude needs to assess the quality; applicability of diagnostic accuracy studies (e.g; assess this paper using QUADAS-2).

How do I install Diagnostic Study Quality Assessment Quadas in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill diagnostic-study-quality-assessment-quadas -a claude-code`. Or copy the skill folder (scientific-skills/Data Analysis/diagnostic-study-quality-assessment-quadas-2 in aipoch/medical-research-skills) into .claude/skills/diagnostic-study-quality-assessment-quadas in your project. Claude Code loads it when a task matches its description.

How do I install Diagnostic Study Quality Assessment Quadas in Codex?

Run `npx skills add aipoch/medical-research-skills --skill diagnostic-study-quality-assessment-quadas -a codex`. Or copy the skill folder (scientific-skills/Data Analysis/diagnostic-study-quality-assessment-quadas-2 in aipoch/medical-research-skills) into .agents/skills/diagnostic-study-quality-assessment-quadas in your project. Codex loads it when a task matches its description.

Can I use Diagnostic Study Quality Assessment Quadas 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 diagnostic-study-quality-assessment-quadas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/diagnostic-study-quality-assessment-quadas, .gemini/skills/diagnostic-study-quality-assessment-quadas, .github/skills/diagnostic-study-quality-assessment-quadas and .opencode/skills/diagnostic-study-quality-assessment-quadas in your project.

What does Diagnostic Study Quality Assessment Quadas need to run?

Going by SKILL.md and its folder, Diagnostic Study Quality Assessment Quadas needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Diagnostic Study Quality Assessment Quadas access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Diagnostic Study Quality Assessment Quadas 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 Diagnostic Study Quality Assessment Quadas use?

Diagnostic Study Quality Assessment Quadas 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 Diagnostic Study Quality Assessment Quadas use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 771 tokens, read only when the agent opens those files.

What are the alternatives to Diagnostic Study Quality Assessment Quadas?

Skills that share tags, products or a category with Diagnostic Study Quality Assessment Quadas: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 212 stars) and Raccoon Dataanalysis (SenseTime-Copilot/raccoon-dataanalysis-skill, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Diagnostic Study Quality Assessment Quadas?

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.