webgpu
Build and Debug Browser WebGPU Pipelines
Browser GPU workloads can fail across devices or lose performance through inefficient resource handling. This skill guides WebGPU implementation with capability checks, usable fallbacks, validation, and targeted measurement.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "webgpu" from https://skillstore.io/skills/shreyam1008-webgpu.md and its manifest at https://skillstore.io/api/skills/shreyam1008-webgpu/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Tester
Utilisation de « webgpu ». Review initialization that assumes every browser returns a usable WebGPU adapter.
RĂ©sultat attendu:
- Check WebGPU availability before requesting an adapter.
- Treat a missing adapter or failed device request as a fallback result.
- Verify required features and limits before creating the device.
- Handle device loss by stopping submissions and rebuilding resources or entering the fallback.
Utilisation de « webgpu ». Suggest a review plan for an animation that recreates pipelines and reads GPU results every frame.
RĂ©sultat attendu:
- Move stable pipeline creation outside the frame loop and reuse buffers, textures, and bind groups.
- Measure upload and readback costs separately from CPU frame time and GPU execution.
- Remove unnecessary readbacks from the animation loop.
- Compare the revised GPU path with its fallback on integrated and discrete GPUs.
Utilisation de « webgpu ». Can I depend on HTML-in-Canvas for a production WebGPU interface?
RĂ©sultat attendu:
Treat the proposed API as experimental and check the current draft. Keep semantic DOM or another renderer as the shipping path.
Audit de sécurité
SûrAll 20 static findings are false positives supported by the reviewed SKILL.md context. Backticks mark Markdown or TypeScript syntax, URLs reference public documentation, and reconnaissance matches concern rendering efficiency. No evidence found of prompt injection, command execution, unauthorized data collection, or exfiltration.
Facteurs de risque
âïž Commandes externes (14)
đ AccĂšs rĂ©seau (3)
Partager et citer ce rapport
Partagez le rapport dâĂ©valuation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.
Copier le lien du rapport
https://skillstore.io/skills/shreyam1008-webgpu/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/shreyam1008-webgpu?utm_source=security_passport_badge)Badge HTML
<a href="https://skillstore.io/skills/shreyam1008-webgpu?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/shreyam1008-webgpu/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Carte intégrable
<iframe src="https://skillstore.io/embed/skills/shreyam1008-webgpu.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citations académiques (APA · BibTeX · CFF)
Citation APA
shreyam1008. (2026). webgpu security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/shreyam1008-webgpu/audits/1Citation BibTeX
@techreport{shreyam1008-shreyam1008-webgpu-2026,
author = {shreyam1008},
title = {webgpu security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/shreyam1008-webgpu/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "webgpu security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "shreyam1008"
date-released: "2026-10-02"
url: "https://skillstore.io/skills/shreyam1008-webgpu/audits/1"
identifiers:
- type: other
value: "skillstore:shreyam1008-webgpu:audit:1"
description: "Skillstore immutable audit report identifier"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
Add Reliable Browser GPU Rendering
Plan initialization, canvas configuration, resource ownership, and usable fallback behavior for a browser rendering feature.
Review a GPU Compute Workload
Check compute pipeline structure, storage resources, device limits, and transfer costs before choosing WebGPU over a CPU implementation.
Diagnose Rendering Performance
Investigate pipeline churn, repeated allocations, excessive submissions, and readbacks using measurements from representative target devices.
Essayez ces prompts
My browser feature is [feature], and target devices are [devices]. Compare WebGPU with simpler options and recommend a compatibility strategy.
Help initialize WebGPU for [application]. Include capability checks, required features and limits, device-loss handling, and a [fallback renderer] path.
Review [WGSL shader] and [pipeline setup]. Identify interface mismatches, resource usage issues, and validation handling gaps. Explain fixes without assuming optional features.
Analyze [render or compute loop] using [CPU timings, GPU timings, and transfer measurements]. Recommend changes and tests against [fallback] on [target devices].
Bonnes pratiques
- Check required features and limits, then test adapter absence, device loss, and validation failures against a usable fallback.
- Reuse stable GPU resources and pipelines, define cleanup explicitly, and keep WGSL independent from untrusted strings.
- Benchmark against the fallback on representative devices and separate CPU time, GPU time, transfers, and memory pressure.
Ăviter
- Selecting WebGPU solely for visual effects without checking whether DOM, Canvas 2D, or WebGL meets the workload.
- Assuming development GPU capabilities or browser detection guarantees production support.
- Recreating pipelines every frame or adding unnecessary GPU-to-CPU readback to the animation loop.
Foire aux questions
What does this skill cover?
Which AI tools can use this skill?
Does WebGPU work on every target device?
Does the skill include a complete renderer?
Is WebGPU always faster than WebGL or CPU processing?
Does this skill cover vgpu or React Three Fiber?
Détails du développeur
Auteur
shreyam1008Licence
MIT
RĂ©vision Skillstore
r1
Avis de version
Lâauteur nâa dĂ©clarĂ© aucune version.
RĂ©f
bbec03cf10354f3aaccd6dd24eda4ac9ceeceac5
RĂ©cence de maintenance
02/10/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers
đ SKILL.md