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 pptx-generationgit 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/pptx-generation)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/pptx-generation"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/pptx-generation/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/pptx-generation"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/pptx-generation.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 | $0.00070 | $0.03394 |
| Opus 5 | $0.00035 | $0.01697 |
| Sonnet 5 | $0.00014 | $0.00679 |
| Haiku 4.5 | $0.00007 | $0.00339 |
Grade A, and why
pptx-generation 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 7d 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Presentation Generation
Overview
Create publication-quality academic presentations (.pptx) for group meetings, thesis defenses, conference talks, and product introductions.
Templates
Group Meeting (10-15 slides)
- Title slide (project name, date, presenter)
- Background / Context (1-2 slides)
- This Week's Progress (3-5 slides)
- Results & Figures (2-3 slides)
- Challenges / Questions (1 slide)
- Next Steps (1 slide)
Thesis Defense (30-50 slides)
- Title → 2. Outline → 3. Background (5-8) → 4. Aims (1-2) → 5-7. Aim chapters (8-12 each) → 8. Discussion (2-3) → 9. Conclusions (1-2) → 10. Future → 11. Acknowledgments → 12. Backup
Conference Talk (12-20 slides, 10-15 min)
- Title → 2. Problem → 3. Key Question → 4. Approach → 5-9. Results → 10. Implications → 11. Acknowledgments
Product / Project Introduction (10-15 slides)
- Title → 2. Problem → 3. Solution → 4. Architecture → 5-8. Core features → 9-10. Case studies → 11. Comparison → 12. Quick start → 13. Roadmap → 14. Summary
Design Principles
- One message per slide: two messages → two slides
- Visual hierarchy: title → key message → supporting data → source
- Minimal text: bullet points, not paragraphs
- Figure-first: lead with figures, explain verbally
- Consistent styling: same fonts, colors, layout throughout
Technical Implementation
Dependencies
pip install -q python-pptx Pillow
CRITICAL: Execution Pattern
ALWAYS write the ENTIRE script FIRST, then run it. NEVER send text before running the script.
The script MUST be self-contained. Install deps, define helpers, build slides, save — all in ONE bash call:
pip install -q python-pptx Pillow 2>/dev/null && python3 << 'PPTXEOF'
# === FULL SCRIPT HERE (see template below) ===
PPTXEOF
Color Themes
Academic palettes — pick ONE and use consistently:
THEMES = {
"lancet": {
"primary": (0x00, 0x46, 0x8B),
"accent": (0xED, 0x00, 0x00),
"accent2": (0x42, 0xB5, 0x40),
"light": (0xE8, 0xEE, 0xF4),
"text": (0x33, 0x33, 0x33),
"muted": (0x88, 0x88, 0x88),
},
"npg": {
"primary": (0x3C, 0x54, 0x88),
"accent": (0xE6, 0x4B, 0x35),
"accent2": (0x00, 0xA0, 0x87),
"light": (0xEE, 0xF0, 0xF5),
"text": (0x33, 0x33, 0x33),
"muted": (0x84, 0x91, 0xB4),
},
"nejm": {
"primary": (0x00, 0x72, 0xB5),
"accent": (0xBC, 0x3C, 0x29),
"accent2": (0x20, 0x85, 0x4E),
"light": (0xE6, 0xF0, 0xF8),
"text": (0x33, 0x33, 0x33),
"muted": (0x6F, 0x99, 0xAD),
},
}
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.
- 7d ago First seen · 269 lines · 70 tokens per session scan A 8f45fc219e88
pptx-generation is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 3,394 once invoked, about $0.0003 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 2026-09-03.
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