dr-claw — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by OpenLAIR · Agent Tool · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is dr-claw safe to install? View the security audit →

About dr-claw

Dr. Claw: Your AI Research Assistant Full-stack research workspace. <a href="https://github.com/OpenLAIR/dr

ai-agentsai-scientistauto-researchclaude-codeclaude-science-desktop-alternativeclaude-science-freeliterature-reviewpaper-writingresearch-assistant

Quick Facts

Stars1,131
Forks126
LanguageJavaScript
CategoryAgent Tool
Quality Score63.3197218563397/100
Open Issues19
Last Updated2026-09-17
Created2026-02-26
Platformsclaude-code, node
Est. Tokens~24k

Compatible Skills

These tools work well together with dr-claw for enhanced workflows:

dr-claw alternative? Top 6 similar tools

Looking for a dr-claw alternative? If you're comparing dr-claw with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is dr-claw?

dr-claw is A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.. It is categorized as a Agent Tool with 1.1k GitHub stars.

What programming language is dr-claw written in?

dr-claw is primarily written in JavaScript. It covers topics such as ai-agents, ai-scientist, auto-research.

How do I install or use dr-claw?

You can find installation instructions and usage details in the dr-claw GitHub repository at github.com/OpenLAIR/dr-claw. The project has 1.1k stars and 126 forks, indicating an active community.

What are the best alternatives to dr-claw?

The top alternatives to dr-claw on Agent Skills Hub include de-anthropocentric-research-engine, De-Anthropocentric-Research-Engine, claude-scholar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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