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 canvasight-updategit 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-update)<a href="https://agentmods.dev/skills/niall-young/canvasight/canvasight-update"><img src="https://agentmods.dev/badge/skills/niall-young/canvasight/canvasight-update/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-update"><img src="https://agentmods.dev/badge/skills/niall-young/canvasight/canvasight-update.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 29 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00102 | $0.00674 |
| Opus 5 | $0.00051 | $0.00337 |
| Sonnet 5 | $0.00020 | $0.00135 |
| Haiku 4.5 | $0.00010 | $0.00067 |
Grade A, and why
canvasight-update 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 10d 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 — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvasight Update
Use the bundled updater as the only update path. It compares the installed plugin with the latest official GitHub Release and, for an install request, upgrades the complete plugin snapshot through the canvasight-local marketplace. Do not copy individual Skills, MCP files, web assets, or cache entries.
Choose The Operation
- Resolve the plugin root as two directories above this
SKILL.md. - For a check-only request, run
node <plugin-root>/scripts/update-canvasight.mjs --check. Never run--update, marketplace commands, or installation commands. - For an explicit install or upgrade request, run
node <plugin-root>/scripts/update-canvasight.mjs --update. - Run exactly that one bundled-updater command and no other shell command. Do not run
npm install,npm ci, another package manager, builds, tests, release preparation or verification, directcodex pluginor marketplace commands, Git commands, cleanup, or duplicate-file repair before or after it. The updater owns every permitted check, install, verification, and rollback step. - Parse the script's JSON result. Do not infer success from partial command output or run recovery commands outside the script.
Report The Result
update_available: report the installed and latest versions and say that no files were changed.up_to_date: reply你当前使用的 Canvasight vX.Y.Z 已经是最新版，无需更新。Do not mention restart.updated: replyCanvasight 已更新到 vX.Y.Z。请重新加载或重启 Codex Desktop，然后新建任务并重新 @Canvasight。重启由你自行完成。ahead_of_release: report that the installed version is newer than the latest official Release and was not downgraded. Do not mention restart.local_source: report that Canvasight is installed from a local development checkout, so automatic update stopped without changing it. Do not replace, pull, or edit the checkout.unsupported_source: report that the installed source is not the officialNiall-Young/Canvasightrelease source and was left unchanged.version_unknown: report that the version could not be verified and the current installation was preserved.release_mismatch,update_failed,rollback_failed, orerror: state the script's concise error and whether rollback succeeded. Never claim the update succeeded.
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.
- 10d ago First seen · 30 lines · 102 tokens per session scan A 7bce2cf98584
canvasight-update is a skill published in the GitHub repository Niall-Young/Canvasight (210 stars, last pushed 13d ago), licensed MIT. It adds 102 tokens to every session and 674 once invoked, about $0.0005 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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