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 MinhMPA/paper-to-talk --skill paper-to-talkgit clone --depth 1 https://github.com/MinhMPA/paper-to-talkWrote 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/minhmpa/paper-to-talk/paper-to-talk)<a href="https://agentmods.dev/skills/minhmpa/paper-to-talk/paper-to-talk"><img src="https://agentmods.dev/badge/skills/minhmpa/paper-to-talk/paper-to-talk/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/minhmpa/paper-to-talk/paper-to-talk"><img src="https://agentmods.dev/badge/skills/minhmpa/paper-to-talk/paper-to-talk.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 | $0.00166 | $0.03241 |
| Opus 5 | $0.00083 | $0.01621 |
| Sonnet 5 | $0.00033 | $0.00648 |
| Haiku 4.5 | $0.00017 | $0.00324 |
Grade A, and why
paper-to-talk 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 12d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
paper-to-talk
Overview
Build a presentation deck from source papers with three non-negotiable disciplines:
- Source fidelity — every equation, figure, and attribution traces to a specific page/equation/figure in the source PDF. Nothing recalled from memory.
- Clean slide design — the default slide has open space, one visual or one idea, sparse text, and no more information than can be spoken comfortably.
- Argument structure — every assertion holds a
(claim, evidence pointer, caveat)triple. Strong evidence → main slide. Weak or parametrization-sensitive → grain-of-salt slide.
Each slide has one thesis sentence. If you can't write that sentence, the slide isn't ready.
Design defaults
Optimize for a 15-minute spoken path plus discussion. Prefer fewer, cleaner slides over comprehensive coverage.
- Target 10-12 spoken frames plus title and backup for a 15-minute talk; use 12-14 only for a full 20 minutes.
- Use one primary figure, equation, or table per slide. If a slide has two visuals, remove most text.
- Keep most slides to 3 bullets or fewer; TL;DR and take-away slides may use 4 bullets.
- Keep bullets to one line when possible. If a bullet wraps twice, compress or split the idea.
- Put detailed derivations, reference tables, robustness catalogs, and source pointers in backup unless they are essential to the story.
- Leave a visible blank region on every slide. Do not fill all quadrants just because space exists.
- Prefer
\smallor normal size for spoken content. Use\scriptsizeonly for citations, compact tables, or backup. - Use source lines as muted footers, not paragraphs.
When a slide feels dense, fix it in this order:
- Delete secondary claims.
- Move caveats to the grain-of-salt slide or backup.
- Replace prose with a labeled figure or 2-3 word callout.
- Split only if both halves are essential to the spoken path.
Workflow
1. Source extraction
For each paper:
- Fetch the arXiv abstract/PDF or use the user-provided PDF.
- Read the saved PDF page ranges. Hit in order: title page → abstract → intro → methods/theory → results → appendices.
- Capture verbatim: first 3 authors + et al, equation numbers, figure numbers, exact symbols, footnote caveats.
- Distinguish speaker (presenter at the talk) from paper author (first author of the PDF). They are not the same.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 212 lines · 166 tokens per session scan A 55db558d5765
paper-to-talk is a skill published in the GitHub repository MinhMPA/paper-to-talk (6 stars, last pushed 4mo ago), licensed MIT. It adds 166 tokens to every session and 3,241 once invoked, about $0.0008 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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