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 hoainho/podium-mcp --skill canvasgit clone --depth 1 https://github.com/hoainho/podium-mcpWrote 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/hoainho/podium-mcp/canvas)<a href="https://agentmods.dev/skills/hoainho/podium-mcp/canvas"><img src="https://agentmods.dev/badge/skills/hoainho/podium-mcp/canvas/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/hoainho/podium-mcp/canvas"><img src="https://agentmods.dev/badge/skills/hoainho/podium-mcp/canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00061 | $0.00462 |
| Opus 5.5 | $0.00024 | $0.00185 |
| Sonnet 5.5 | $0.00012 | $0.00092 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
canvas 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 2mo 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.
What it actually says
Using podium, act on the canvas/WebGL UI of the WebView app on simulator/device $ARGUMENTS (format: <UDID> <intent>, e.g. <UDID> close the popup). Parse the first whitespace token as the UDID; everything after it is the INTENT.
No screenshots, no vision — drive the live scene graph as DOM-like elements.
canvas_inspectwith the UDID — confirm a framework was detected and list the addressable objects. Ifframeworkisunknownorcountis 0, report the returnedhint(expose the framework root onwindow, or fall back to a screenshot +tap_with_fallback) and stop.- If the intent is
listor empty, present the objects as a markdown table (name / text / type / x,y) and stop. canvas_resolvewith the UDID and the intent — show the ranked candidates with theirreasonsand theconfidentEnoughflag.- If
confidentEnoughis false, do NOT tap. Present the top candidates and ask the user which one (fail-closed by design — two equally-good targets must not be blind-tapped).
- If
- If
confidentEnoughis true, callcanvas_tapwith the UDID and the intent — then report what was tapped (name/text), the screen coordinates, and the backend used. - Summarize: framework detected, target chosen + the evidence behind it, and the tap result.
Notes:
- Requires an inspectable WKWebView (isInspectable=true; debug/staging builds).
- Canvas tools NEVER use vision; vision is a separate opt-in path (
PODIUM_ALLOW_VISION=1). - Honors
PODIUM_DISABLE_WEBVIEW_EVAL=1(the tools refuse to inject the bridge).
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.
- 2mo ago First seen · 20 lines · 61 tokens per session scan A 9ece1f256859
canvas is a skill published in the GitHub repository hoainho/podium-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 462 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
canvas compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| canvashoainho/podium-mcp | Skill | 6 | 4mo ago | MIT | A | 61 | Claude Code |
| sugar-orchestratorroboticforce/sugar | Skill | 100 | yesterday | none | A | 103 | Claude Code |
| sugar-task-plannerroboticforce/sugar | Skill | 100 | yesterday | none | A | 112 | Claude Code |
| sugar-quality-guardianroboticforce/sugar | Skill | 100 | yesterday | none | A | 104 | Claude Code |
| sugar-memoryroboticforce/sugar | Skill | 100 | yesterday | none | A | 70 | Claude Code |
| mk-qa-masterkao273183/mk-qa-master | Skill | 37 | 5mo ago | MIT | A | 172 | Claude Code |
| workflowsget-bb/bb | Skill | 4.9k | yesterday | MIT | A | 21 | Claude Code, Codex |