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Agent skill

Diagnostic Study Quality Assessment Quadas 2

by aipoch in aipoch/medical-research-skills

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

MITAuto-check passedResearch & Science

Install Diagnostic Study Quality Assessment Quadas 2

skills CLI
$ npx skills add aipoch/medical-research-skills --skill diagnostic-study-quality-assessment-quadas-2 -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-2 --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/diagnostic-study-quality-assessment-quadas-2' .claude/skills/diagnostic-study-quality-assessment-quadas-2 && 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-2
GitHub stars
1.9k
Token cost
~1.5k tokens
SKILL.md length
701 words
Files
7 (incl. scripts, references)
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: Analyze Patient Selection → Analyze Index Test → Analyze Reference Standard → …
  • Claude needs to assess the quality
  • SKILL.md covers Workflow, Output Format, Quality Rules and PDF Parsing Tool, plus 9 more sections
  • Runs Python scripts from its folder; calls python and pip

What it does

Diagnostic Study Quality Assessment Quadas 2 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 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `POLISH_CHANGELOG.md`, `eval_report_diagnostic-study-quality-assessment-quadas-2_result.json` and `references/api_reference.md`).

It sits in Research & Science. 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-2 skill to analyz clinical diagnostic accuracy studies for bias using the QUADAS-2 tool”
  • “/diagnostic-study-quality-assessment-quadas-2”

Requirements

  • Python 3

Workflow steps

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

  1. Analyze Patient Selection
  2. Analyze Index Test
  3. Analyze Reference Standard
  4. Analyze Flow and Timing

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 2 loads about 1.5k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 701 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
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
~2.3k

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). 701 words, ~1,529 tokens.

Download SKILL.mdSave it as .claude/skills/diagnostic-study-quality-assessment-quadas-2/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-2
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.

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.

Input Validation

This skill accepts requests that match the documented purpose of diagnostic-study-quality-assessment-quadas-2 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:

diagnostic-study-quality-assessment-quadas-2 only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

References

When to Use

  • Use this skill when the user explicitly needs to perform the core task of diagnostic-study-quality-assessment-quadas-2 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 (269 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.

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

  • SKILL.md
  • POLISH_CHANGELOG.md
  • eval_report_diagnostic-study-quality-assessment-quadas-2_result.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 2 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 2 compared with similar skills
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Diagnostic Study Quality Assessment Quadas 2 this skillaipoch/medical-research-skills1.9k—~1.5kAutomated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Categories

Questions about Diagnostic Study Quality Assessment Quadas 2

What does Diagnostic Study Quality Assessment Quadas 2 do?

Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool. Diagnostic Study Quality Assessment Quadas 2 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 2?

Diagnostic Study Quality Assessment Quadas 2 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 2 in Claude Code?

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

How do I install Diagnostic Study Quality Assessment Quadas 2 in Codex?

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

Can I use Diagnostic Study Quality Assessment Quadas 2 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-2 -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-2, .gemini/skills/diagnostic-study-quality-assessment-quadas-2, .github/skills/diagnostic-study-quality-assessment-quadas-2 and .opencode/skills/diagnostic-study-quality-assessment-quadas-2 in your project.

What does Diagnostic Study Quality Assessment Quadas 2 need to run?

Going by SKILL.md and its folder, Diagnostic Study Quality Assessment Quadas 2 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 2 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 2 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 2 use?

Diagnostic Study Quality Assessment Quadas 2 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 2 use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 2?

Skills that share tags, products or a category with Diagnostic Study Quality Assessment Quadas 2: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k 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 2?

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.