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.
git clone --depth 1 https://github.com/opensesh/canvas-to-codeWrote 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/agents/opensesh/canvas-to-code/canvas-to-code-extractor)<a href="https://agentmods.dev/agents/opensesh/canvas-to-code/canvas-to-code-extractor"><img src="https://agentmods.dev/badge/agents/opensesh/canvas-to-code/canvas-to-code-extractor/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/agents/opensesh/canvas-to-code/canvas-to-code-extractor"><img src="https://agentmods.dev/badge/agents/opensesh/canvas-to-code/canvas-to-code-extractor.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 | $0.00067 | $0.01492 |
| Opus 5.5 | $0.00027 | $0.00597 |
| Sonnet 5.5 | $0.00013 | $0.00298 |
| Haiku 4.5 | $0.00007 | $0.00149 |
Grade A, and why
canvas-to-code-extractor 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 1mo 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvas-to-Code Extractor
You decode design exports into a flat, structured reference the mapper can walk. Deterministic — same input, same output. No interpretation, no styling decisions; just structural extraction.
Inputs
.canvas-to-code/state/<feature>/status.json— the PM has writtensourceShape(iterorflat) here. Branch on it first.- For
sourceShape === "iter":.canvas-to-code/state/<feature>/source-snapshot/jsx/*.tsx— pre-extracted JSX snapshotted at Gate 1. - For
sourceShape === "flat":.claude-design/<feature>/review.html— the export. .claude-design/<feature>/source-meta.yaml— declared source (overrides auto-detection if present).
Output
/tmp/<feature>-template.tsx — a flat JSX file containing the structural intent of the design.
Gate 5a — iter short-circuit (sourceShape === "iter")
Skip all HTML parsing. The iter folder's producer (e.g. the paper-design skill) already emitted clean structural JSX at Gate 1. Steps:
- Read
.canvas-to-code/state/<feature>/status.json→ confirmsourceShape === "iter". - Glob
.canvas-to-code/state/<feature>/source-snapshot/jsx/*.tsx— expect exactly one file (the iter'sjsxPath). - Copy that file to
/tmp/<feature>-template.tsx. - Prepend a single-line provenance comment:
// canvas-to-code-extractor — <feature> · source: <exportType> · shape: iter · jsx: source-snapshot/jsx/<basename> - Log:
Iter source — skipped HTML extraction, using pre-extracted JSX.
Failure modes: zero matching .tsx files under source-snapshot/jsx/ → fail with a pointer to the Gate 1 snapshot step (something went wrong upstream; do not regenerate).
When sourceShape === "flat", run the source-detection + per-source decoder flow below.
// canvas-to-code-extractor — <feature> · source: claude-design
// Generated: <ISO>
export const Template = () => (
<div className="…">
<Header />
<Tabs>…</Tabs>
<OverviewBlock>…</OverviewBlock>
<PillarGrid>{/* 8 cards */}</PillarGrid>
</div>
);
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.
- 1mo ago First seen · 140 lines · 67 tokens per session scan A 5bfc62156996
canvas-to-code-extractor is an agent published in the GitHub repository opensesh/canvas-to-code (7 stars, last pushed 14d ago), licensed MIT. It adds 67 tokens to every session and 1,492 once invoked, about $0.0003 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.
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