Canvas
by community
Description
Display and control HTML content on connected Mac, iOS, or Android nodes via a web-based canvas with live reload and remote actions.
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Editorial Summary
AI-generatedCanvas 可视化展示 skill，支持在节点画布上呈现富媒体内容和 UI。交互式展示的核心基础设施。
Data Sources
AI Sentiment Analysis
24 mentions analyzedPositive
4
Neutral
7
Negative
13
Source distribution
Top positive mentions
Internationalization (i18n) & Localization Support Please do not link other implementations, we cannot verify them and this project carries too much of a security risk for that.
Source: github
Internationalization (i18n) & Localization Support Chinese (Simplified) - zh-CN
Source: github
Internationalization (i18n) & Localization Support Adding Vietnamese (vi) to the tracking list per PR #3554.
Source: github
Top negative mentions
[Bug]: time openclaw browser --help command triggers full application boot leading to 30s+ execution time. ### Bug type\n\nRegression (worked before, now fails)\n\n### Beta release blocker\n\nNo\n\n### Summary\n\ntime o…
Source: github
Expose dreaming promotion thresholds (minScore, minRecallCount, minUniqueQueries) as user config ## Problem\n\nThe dreaming deep-phase promotion thresholds (`minScore`, `minRecallCount`, `minUniqueQueries`) are hardcode…
Source: github
codex-cli systemPromptReport.tools.entries stays empty even when MCP tools are injected ## Summary On official OpenClaw `2026.4.11`, `codex-cli` agent runs can execute MCP tools successfully while `systemPromptReport.to…
Source: github
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
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Editorial Assessment
This score is a SkillsReview editorial evaluation based on structured data sources. It is not the same as the community review average or the raw ClawHub score.
Separate from community review averages and the raw ClawHub marketplace score.
Canvas 可视化展示 skill，支持在节点画布上呈现富媒体内容和 UI。交互式展示的核心基础设施。
✅ Pros
- •Renders rich media on node canvas
- •Supports interactive UI elements
- •Key for visual presentations
⚠️ Cons
- •May need learning for customizations
- •Performance depends on client device
Data Sources
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