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 shikaijieskj/science-skills --skill science-paper2pptgit clone --depth 1 https://github.com/shikaijieskj/science-skillsWrote 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/shikaijieskj/science-skills/science-paper2ppt)<a href="https://agentmods.dev/skills/shikaijieskj/science-skills/science-paper2ppt"><img src="https://agentmods.dev/badge/skills/shikaijieskj/science-skills/science-paper2ppt/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/shikaijieskj/science-skills/science-paper2ppt"><img src="https://agentmods.dev/badge/skills/shikaijieskj/science-skills/science-paper2ppt.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 | $0.00092 | $0.00524 |
| Opus 5 | $0.00046 | $0.00262 |
| Sonnet 5 | $0.00018 | $0.00105 |
| Haiku 4.5 | $0.00009 | $0.00052 |
Grade A, and why
science-paper2ppt 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.
What it actually says
Science Paper to PPT
Use this skill to convert a Science-family paper into a clear Chinese presentation. The deck should explain the paper's argument and evidence, not decorate the abstract.
Chinese trigger examples include 组会汇报, 文献汇报, and 论文分享.
Defaults
- Build the story around the paper's question, gap, evidence, and limitations.
- Select figures as evidence, not decoration.
- Do not include copyrighted figures unless the user supplied the PDF/images and the output is for allowed private or educational use. Attribute all figures.
- For inaccessible papers, build from metadata/abstract/user-provided material and state the limit.
- Speaker notes should explain reasoning, not read slide text aloud.
Open extra files
| File | Open when |
|---|---|
| references/deck-architecture-cn.md | Need slide order, Chinese titles, and narration style |
| references/figure-selection.md | Need to choose figures and map them to claims |
Workflow
- Extract paper metadata and one-sentence takeaway.
- Classify paper type: discovery, method, resource, translational, robotics/device, materials, computational, or policy.
- Build a 10-18 slide plan:
title -> background -> gap -> approach -> evidence figures -> mechanism/comparison -> limitation -> discussion. - Select only figures needed for the story.
- Write Chinese slide titles as claims, not labels.
- Add speaker notes with explanation and transition.
- If creating a PPTX, render or inspect slides for overflow and figure readability.
Output files
When asked to create an actual deck, produce:
output/final_presentation_cn.pptxoutput/qa_report.mdoutput/assets/figures/if figures are extractedoutput/figure_plan.mdwhen figure selection is nontrivial
If the user only asks for content, return the slide outline and speaker notes in Markdown.
What ships with it
3 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 · 51 lines · 92 tokens per session scan A 3752b4d29e12
science-paper2ppt is a skill published in the GitHub repository shikaijieskj/science-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 524 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 2026-08-31.
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