D

diffraction-scatter-background-substract

VERIFIED

by community

No community reviews yet
86,900installs
Updated May 2026

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Description

BGsub — X-ray diffraction (SAXS/WAXS/XRD) background subtraction toolkit for 2D images and 1D curves. X射线衍射(SAXS/WAXS/XRD)数据背景扣除工具,覆盖2D图像处理和1D曲线处理。 Use this...

Install diffraction-scatter-background-substract

Run this in your OpenClaw agent to add diffraction-scatter-background-substract from the ClawHub registry.

terminal
$openclaw skills install diffraction-scatter-background-substract

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

⚠️警告71/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is diffraction-scatter-background-substract safe to install?

diffraction-scatter-background-substract has a SkillsReview security score of 71/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does diffraction-scatter-background-substract cost?

diffraction-scatter-background-substract is free to install for OpenClaw via ClawHub.

What are the best alternatives to diffraction-scatter-background-substract?

You can compare diffraction-scatter-background-substract side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install diffraction-scatter-background-substract?

Install diffraction-scatter-background-substract from ClawHub at clawhub.ai/skills/diffraction-scatter-background-substract, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score3.69 / 5.00
Installs86,900
Last UpdateMay 11, 2026
Recently updated (30d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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