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 Zaoqu-Liu/ScienceClaw --skill scienceclaw-presentationsgit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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/zaoqu-liu/scienceclaw/scienceclaw-presentations)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/scienceclaw-presentations"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/scienceclaw-presentations/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/zaoqu-liu/scienceclaw/scienceclaw-presentations"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/scienceclaw-presentations.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 | $0.00000 | $0.00694 |
| Opus 5 | $0.00000 | $0.00347 |
| Sonnet 5 | $0.00000 | $0.00139 |
| Haiku 4.5 | $0.00000 | $0.00069 |
Grade A, and why
scienceclaw-presentations 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 8d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ScienceClaw Presentations — Joey's PPT Templates
Joey's reference for all presentation work. Use this skill when creating academic presentations.
Templates
Group Meeting
- Use: Informal lab meeting / group meeting
- Sections: Title, Background, Methods, Results, Next Steps, Questions
- Style: Clean, minimal, data-focused
- Slide count: 10-15
- Tone: Conversational but structured
Thesis Defense
- Use: PhD/Master thesis defense
- Sections: Title, Committee, Background, Aims, Methods, Results (by aim), Discussion, Conclusions, Future Work, Acknowledgments, Questions
- Style: Formal, comprehensive, narrative arc
- Slide count: 30-50
- Tone: Authoritative, builds from problem to contribution
Conference Talk
- Use: Conference oral presentation (10-15 min)
- Sections: Title, Motivation, Key Question, Approach, Results (3-5 key), Impact, Acknowledgments
- Style: Punchy, one-message-per-slide, builds to climax
- Slide count: 12-20
- Tone: Engaging, clear takeaways, audience-first
Poster
- Use: Academic poster (48x36 inches typical)
- Sections: Title/Authors, Background, Methods, Results, Conclusions, References, QR Code
- Style: Visual hierarchy, scannable at 2 meters
- Slide count: 1 (poster layout)
- Tone: Concise, conversation-starter
Slide Design Principles
- One message per slide. If a slide needs two points, it needs two slides.
- Build narrative tension. Motivation → Question → Approach → Discovery → Impact.
- Visuals over text. A figure with a one-line title beats three bullet points.
- Audience calibration. Group meeting: peers who know the jargon. Conference: mixed audience. Defense: experts who will probe.
- Timing: ~1 minute per slide for talks, ~2 minutes per poster section for conversations.
python-pptx Code Patterns
When generating .pptx files via the Compute Server:
from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.enum.text import PP_ALIGN
prs = Presentation()
prs.slide_width = Inches(13.333)
prs.slide_height = Inches(7.5)
# Title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])
slide.shapes.title.text = "Title Here"
slide.placeholders[1].text = "Author | Affiliation | Date"
# Content slide with figure
slide = prs.slides.add_slide(prs.slide_layouts[5]) # blank
slide.shapes.add_picture("figure.png", Inches(1), Inches(1.5), width=Inches(11))
prs.save("output.pptx")
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.
- 8d ago First seen · 83 lines · 0 tokens per session scan A fa893d4dd433
scienceclaw-presentations is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 694 tokens. 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 2026-09-03.
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