Canvas大规模渲染优化
v1.1.0优化Canvas大量元素渲染，采用三层管线、空间哈希裁剪、LOD分层与帧调度提升FPS与交互流畅度。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & Capability
Name/description (Canvas large-scale rendering optimization) match the SKILL.md content: layered rendering, spatial hashing, LOD, and frame scheduling. All requested or used APIs are browser Canvas/JS primitives appropriate for the stated goal.
Instruction Scope
SKILL.md contains code snippets and prose limited to canvas rendering techniques. It does not instruct reading system files, accessing environment variables, network endpoints, or unrelated configuration. Compatibility notes (OffscreenCanvas fallback) are appropriate and scoped to browser behavior.
Install Mechanism
There is no install specification and no code files to install or execute; this is instruction-only, which minimizes risk. The snippets are TypeScript/JavaScript examples intended for manual integration.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no hidden secret accesses or unrelated credential requests.
Persistence & Privilege
Skill flags are default (not always:true). It does not request persistent presence, nor does it indicate modifying other skills or system-wide settings.
Assessment
This is a content-only guide with runnable TypeScript/JS snippets for browser Canvas performance—no network calls or credentials are involved. If you paste these snippets into your project, review and adapt them for your codebase (types, canvas element references, OffscreenCanvas availability, and coordinate systems). Test in a staging environment and verify cross-browser behavior (e.g., Safari fallback) before deploying to users.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.