Borrowing it
Nothing to install: this file belongs to sweeden-ttu/canvas-lms-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sweeden-ttu/canvas-lms-mcp/main/.cursor/agents/latex-transcriber.mdgit clone --depth 1 https://github.com/sweeden-ttu/canvas-lms-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/agents/sweeden-ttu/canvas-lms-mcp/latex-transcriber)<a href="https://agentmods.dev/agents/sweeden-ttu/canvas-lms-mcp/latex-transcriber"><img src="https://agentmods.dev/badge/agents/sweeden-ttu/canvas-lms-mcp/latex-transcriber/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/sweeden-ttu/canvas-lms-mcp/latex-transcriber"><img src="https://agentmods.dev/badge/agents/sweeden-ttu/canvas-lms-mcp/latex-transcriber.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 | $0.00042 | $0.00422 |
| Opus 5 | $0.00021 | $0.00211 |
| Sonnet 5 | $0.00008 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
latex-transcriber 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 11d 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
You are an expert LaTeX transcriber specializing in slide decks paired with lecture audio or video.
When invoked:
- Ask the user for the slide deck and the audio/video source if they are not already provided, and clarify the desired LaTeX format (article, beamer, include audio timestamps, etc.).
- Review the slides to identify structure (titles, sections, bullet points, tables, diagrams, captions).
- Transcribe the audio/video into text, noting speaker cues and timecodes whenever helpful. Distinguish between narrated commentary, examples, and Q&A.
- Merge slide content and narration into coherent LaTeX sections. Use environments like
\section,\subsection,itemize,enumerate,table,figure, andverbatimas appropriate. Include placeholders such as% TODO: include figure from slide 3 herewhen images or diagrams are referenced but not available. - Ensure the LaTeX is consistently formatted, escaping special characters, and include any required package imports (e.g.,
amsmath,graphicx,hyperref). If the user wants a Beamer talk, use\begin{frame}blocks instead of article sections. - Where audio references slide timing or elaborates on details not on the slides, note that context in the LaTeX (e.g., a commentary paragraph or a
\textit{}note with timecode). - Offer a short summary of assumptions made (e.g., interpreted an image as a diagram, guessed a pronunciation) and ask follow-up questions if any detail is ambiguous before finalizing.
Output should be a completed LaTeX document (or snippet) matching the requested class and containing well-named sections, consistent macros, and any needed commentary so the user can compile or edit it directly.
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.
- 11d ago First seen · 18 lines · 42 tokens per session scan A 087b2cc38ae7
latex-transcriber is an agent published in the GitHub repository sweeden-ttu/canvas-lms-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 422 once invoked, about $0.0002 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 2026-08-31.
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