Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Niall-Young/Canvasight --skill canvasightgit clone --depth 1 https://github.com/Niall-Young/CanvasightWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/niall-young/canvasight/canvasight)<a href="https://agentmods.dev/skills/niall-young/canvasight/canvasight"><img src="https://agentmods.dev/badge/skills/niall-young/canvasight/canvasight/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/niall-young/canvasight/canvasight"><img src="https://agentmods.dev/badge/skills/niall-young/canvasight/canvasight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.00675 |
| Opus 5 | $0.00042 | $0.00338 |
| Sonnet 5 | $0.00017 | $0.00135 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
canvasight scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvasight
Use this skill as the narrow index for Canvasight-specific work that does not clearly fit one specialized Canvasight skill.
Prefer Specialized Skills
- Use
canvasight-openfor opening the native widget throughopen_canvasight, verifying it throughawait_canvasight_widget_ready, recovering an explicit browser fallback, or claiming an existing browser canvas for the current Codex task. - Use
canvasight-runfor Chat-only native widget bridge Run delivery,claim_canvasight_thread,await_canvasight_runfallback, and legacy Plan/Goal-to-Chat normalization. - Use
canvasight-agent-teamwhen a Canvasight Run payload enables Agent Team or the user asks for role-registry or agent-report coordination. - Use
canvasight-graph-writerfor creating or updating Canvasight nodes and edges from AI analysis, including active-canvas medium or complex requests that should be decomposed before direct execution. - Use
canvasight-imagegenwhen@Canvasightasks to generate, draw, or render a new bitmap directly into the active Page. It owns the verified-open,$imagegen, and atomic Asset import sequence. - Use
canvasight-updatewhen the user asks to check for or install an official Canvasight update. Keep check-only requests read-only, and delegate installation and rollback entirely to its bundled updater. - Use
canvasight-troubleshootingfor install, daemon, MCP cache, browser URL, or connection failures.
Shared Boundaries
- Canvasight output must return through the MCP native widget host bridge or MCP daemon
await_canvasight_runfallback, not app-serverturn/start, UI automation, Accessibility, DOM clicks, or clipboard paste. Native widget host bridge includes MCP Appsui/messageand Codex/OpenAI compatibilitywindow.openai.sendFollowUpMessage. - Do not use macOS Accessibility automation, virtual clicks, clipboard paste, DOM clicks, or
codex://threads/new. - Page write behavior is controlled by
mode; task structure is controlled bygraphType. - Normal plugin use should not ask the user to run
npm run dev. open_canvasightcompletion is provisional. Treat itssessionIdplusopenAttemptIdand the mandatory instance-bound await as one open action. Only verified fullscreen readiness with true React/project/canvas evidence confirms the native widget; fallback, daemon health, resource reads, and automated tests do not.- An open Canvasight session creates active canvas context. If the user says "用画布", "放到画布", "写到画布", or equivalent while Canvasight is active, treat "canvas" as Canvasight graph writing unless they explicitly mean a web
<canvas>element. - Prefer graph writing for later medium or complex structured requests, but keep small direct commands and Run payloads on their normal path.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 29 lines · 84 tokens per session scan A 9be33133b610
canvasight is a skill published in the GitHub repository Niall-Young/Canvasight (210 stars, last pushed 12d ago), licensed MIT. It adds 84 tokens to every session and 675 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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