Agent skill

Canvasight Troubleshooting

by Niall-Young in Niall-Young/Canvasight

Diagnose and fix Canvasight plugin, MCP, native-widget readiness, host bridge, daemon, browser fallback, Run delivery, install, cache, or connection problems.

MITAuto-check passedMedia & Creative

Install Canvasight Troubleshooting

skills CLI
$ npx skills add Niall-Young/Canvasight --skill canvasight-troubleshooting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Niall-Young/Canvasight canvasight-troubleshooting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Niall-Young/Canvasight.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/canvasight/skills/canvasight-troubleshooting .claude/skills/canvasight-troubleshooting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
canvasight-troubleshooting
GitHub stars
213
Token cost
~710 tokens
SKILL.md length
299 words
Files
2 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Diagnose and fix Canvasight plugin, MCP, native-widget readiness, host bridge, daemon, browser fallback, Run delivery, install, cache, or connection problems.

  • Works in 9 steps: Reproduce the normal path with the… → Treat only verified fullscreen readiness… → Classify the failing layer: tool… → …
  • The widget is stuck on Opening Canvasight
  • Calls codex
  • Awaitcanvasightwidgetready returns timeout

What it does

Canvasight Troubleshooting is an agent skill from Niall-Young/Canvasight. Diagnose and fix Canvasight plugin, MCP, native-widget readiness, host bridge, daemon, browser fallback, Run delivery, install, cache, or connection problems. Use when the widget is stuck on Opening Canvasight, awaitcanvasightwidgetready returns timeout or failed, React never mounts, a tool falsely appears successful while the canvas is unusable, tools are missing or stale, Transport closed appears, Run does not reach the current task, localhost fails, or Canvasight behavior does not match the installed version.

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/troubleshooting.md`).

It sits in Media & Creative. It works with Model Context Protocol and React. The repository describes itself as: 用于梳理任务然后交付给 AI 工具的 plugin 插件. The licence is MIT.

When your agent uses it

  • The widget is stuck on Opening Canvasight
  • Awaitcanvasightwidgetready returns timeout
  • React never mounts
  • A tool falsely appears successful while the canvas is unusable

Example prompts

  • “/canvasight-troubleshooting”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Reproduce the normal path with the current CODEX_THREAD_ID: call open_canvasight, capture sessionId and openAttemptId, then call…
  2. Treat only verified fullscreen readiness with all render evidence true as success. Otherwise record attempt/session/instance identity…
  3. Classify the failing layer: tool discovery/live MCP transport, session/task binding, widget bootstrap/React mount, initial session API…
  4. If required tools are missing, call tool_search for canvasight open_canvasight await_canvasight_widget_ready…
  5. If a callable Canvasight tool returns Transport closed, report canvasight_mcp_transport_closed and inspect mcp-lifecycle.log when…
  6. If the result reports a missing or mismatched task id, reopen with the active task's exact CODEX_THREAD_ID.
  7. Verify the installed source and version with codex plugin list when behavior is stale. When an install or upgrade changes the resolved…
  8. Use browser fallback only to isolate browser/daemon behavior. It cannot verify native readiness or native Run delivery.
  9. Run the narrowest relevant automated checks, then perform the real native-host acceptance gate. Automated checks remain supporting evidence.

What it can do on your machine

Read from SKILL.md and the folder at commit f47e0bf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Canvasight Troubleshooting loads about 710 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 299 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~710
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Niall-Young/Canvasight at commit f47e0bf, republished under its MIT licence (© Niall-Young). 299 words, ~710 tokens.

Download SKILL.mdSave it as .claude/skills/canvasight-troubleshooting/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
canvasight-troubleshooting
description
Diagnose and fix Canvasight plugin, MCP, native-widget readiness, host bridge, daemon, browser fallback, Run delivery, install, cache, or connection problems. Use when the widget is stuck on Opening Canvasight, await_canvasight_widget_ready returns timeout or failed, React never mounts, a tool falsely appears successful while the canvas is unusable, tools are missing or stale, Transport closed appears, Run does not reach the current task, localhost fails, or Canvasight behavior does not match the installed version.

Canvasight Troubleshooting

Use this skill for Canvasight runtime, install, native readiness, and recovery problems.

Checklist

  1. Reproduce the normal path with the current CODEX_THREAD_ID: call open_canvasight, capture sessionId and openAttemptId, then call await_canvasight_widget_ready with both values and the same threadId.
  2. Treat only verified fullscreen readiness with all render evidence true as success. Otherwise record attempt/session/instance identity, display mode, stage, render evidence, error, and timestamp before changing anything.
  3. Classify the failing layer: tool discovery/live MCP transport, session/task binding, widget bootstrap/React mount, initial session API, host bridge/Run delivery, browser fallback, daemon, installed cache, or .scatter data.
  4. If required tools are missing, call tool_search for canvasight open_canvasight await_canvasight_widget_ready render_canvasight_canvas_widget before declaring them unavailable.
  5. If a callable Canvasight tool returns Transport closed, report canvasight_mcp_transport_closed and inspect mcp-lifecycle.log when available. If the plugin version changed while Codex Desktop was running, reload/restart the host before creating and tagging a new task; a new task alone can retain the old app-level registry. Do not substitute browser fallback.
  6. If the result reports a missing or mismatched task id, reopen with the active task's exact CODEX_THREAD_ID.
  7. Verify the installed source and version with codex plugin list when behavior is stale. When an install or upgrade changes the resolved version, reload/restart the Codex host, then create a new task and tag the plugin again; creating a task alone is not a sufficient refresh guarantee.
  8. Use browser fallback only to isolate browser/daemon behavior. It cannot verify native readiness or native Run delivery.
  9. Run the narrowest relevant automated checks, then perform the real native-host acceptance gate. Automated checks remain supporting evidence.

Never say the widget is opened, ready, or fixed based only on tool completion, resource reads, daemon health, browser fallback, build output, or smoke tests.

Read references/troubleshooting.md for symptom-specific evidence and recovery.

© Niall-Young, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/canvasight/skills/canvasight-troubleshooting of Niall-Young/Canvasight.

  • SKILL.md
  • references/troubleshooting.md

Open the folder on GitHubat commit f47e0bf

Compare with similar skills

Canvasight Troubleshooting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Canvasight Troubleshooting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Canvasight Troubleshooting this skillNiall-Young/Canvasight213—~710Automated safety check: PassMIT
Beatdesign WorkspaceBeatAPI/BeatDesign140—~1.1kAutomated safety check: PassApache-2.0
Beatdesign WorkspaceBeatAPI/BeatDesign1401 repos~632Automated safety check: PassApache-2.0
Beatdesign WorkspaceBeatAPI/BeatDesign140—~1.3kAutomated safety check: PassApache-2.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.5k6 repos~3.2kAutomated safety check: NotesApache-2.0
Claude Code Skillcodeaashu/claude-code3.4k1 repos~2.7kAutomated safety check: PassProprietary

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Questions about Canvasight Troubleshooting

What does Canvasight Troubleshooting do?

Diagnose and fix Canvasight plugin, MCP, native-widget readiness, host bridge, daemon, browser fallback, Run delivery, install, cache, or connection problems. Canvasight Troubleshooting is an agent skill from Niall-Young/Canvasight. Diagnose and fix Canvasight plugin, MCP, native-widget readiness, host bridge, daemon, browser fallback, Run delivery, install, cache, or connection problems.

When should I use Canvasight Troubleshooting?

Canvasight Troubleshooting fits situations like: the widget is stuck on Opening Canvasight; awaitcanvasightwidgetready returns timeout; React never mounts; A tool falsely appears successful while the canvas is unusable.

How do I install Canvasight Troubleshooting in Claude Code?

Run `npx skills add Niall-Young/Canvasight --skill canvasight-troubleshooting -a claude-code`. Or copy the skill folder (plugins/canvasight/skills/canvasight-troubleshooting in Niall-Young/Canvasight) into .claude/skills/canvasight-troubleshooting in your project. Claude Code loads it when a task matches its description.

How do I install Canvasight Troubleshooting in Codex?

Run `npx skills add Niall-Young/Canvasight --skill canvasight-troubleshooting -a codex`. Or copy the skill folder (plugins/canvasight/skills/canvasight-troubleshooting in Niall-Young/Canvasight) into .agents/skills/canvasight-troubleshooting in your project. Codex loads it when a task matches its description.

Can I use Canvasight Troubleshooting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Niall-Young/Canvasight --skill canvasight-troubleshooting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/canvasight-troubleshooting, .gemini/skills/canvasight-troubleshooting, .github/skills/canvasight-troubleshooting and .opencode/skills/canvasight-troubleshooting in your project.

What does Canvasight Troubleshooting need to run?

Going by SKILL.md and its folder, Canvasight Troubleshooting needs the command-line tools its instructions call (codex).

Does Canvasight Troubleshooting access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Canvasight Troubleshooting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Canvasight Troubleshooting use?

Canvasight Troubleshooting is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Canvasight Troubleshooting use?

About 710 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Canvasight Troubleshooting?

Skills that share tags, products or a category with Canvasight Troubleshooting: Beatdesign Workspace (BeatAPI/BeatDesign, 140 stars), Beatdesign Workspace (BeatAPI/BeatDesign, 140 stars), Beatdesign Workspace (BeatAPI/BeatDesign, 140 stars) and Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Canvasight Troubleshooting?

Niall-Young (a GitHub user) maintains it in Niall-Young/Canvasight, which has 213 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 24, 2026.

Source: Niall-Young/Canvasight on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.