Quality Assessment includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); worked examples; at least one code block. The SKILL.md runs to about 1,111 words, in the catalog's typical mid-range.
Quality Assessment sits in the Science & Research category under the research-methods sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.
These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.
This skill is developed based on the scales recommended by the Latitudes Network. The workflow is as follows: Identify Study Design: First, determine the study design of the literature (Query: Study design) Recommend Quality Assessment Tool: Based on the identified study design, query and select the appropriate quality assessment tool (Query: References - Quality Assessment Tool) Complete Quality Assessment: Use the selected tool to perform the final quality assessment of the literature
Quality Assessment is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/quality-assessment/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when you need to assess the methodological quality, internal validity, or reporting completeness of any type of study—including RCTs, observational studies, systematic reviews, qualitative research, or diagnostic accuracy studies.
The Quality Assessment Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 119,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
mkdir -p ~/.claude/skills/quality-assessment curl -L https://claudskills.com/skills/quality-assessment/SKILL.md \ -o ~/.claude/skills/quality-assessment/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/quality-assessment/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/quality-assessment/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\quality-assessment\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
SKILL.md from the source repository to ~/.claude/skills/quality-assessment/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Quality Assessment is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.If you reference this skill in a blog post, paper, or documentation, you can cite it as:
@misc{quality-assessment-2026,
author = {aipoch},
title = {Quality Assessment [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/quality-assessment/}
}Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:
Part of Acreator Store — Adam Lankamer's AI tools: PerfectStudio · Ucaption · UTagger · AutoXPoster · TestYourSkills · AutomationFlows · Au Naturel · Telegram @acreatorstore
SKILL.md files, not affiliated with, endorsed by, or sponsored by Anthropic.