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 Lord1Egypt/scientific-agent-toolkit --skill pptx-postersgit clone --depth 1 https://github.com/Lord1Egypt/scientific-agent-toolkitWrote 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/lord1egypt/scientific-agent-toolkit/pptx-posters)<a href="https://agentmods.dev/skills/lord1egypt/scientific-agent-toolkit/pptx-posters"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/pptx-posters/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/lord1egypt/scientific-agent-toolkit/pptx-posters"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/pptx-posters.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 | $0.00066 | $0.03586 |
| Opus 5.5 | $0.00026 | $0.01434 |
| Sonnet 5.5 | $0.00013 | $0.00717 |
| Haiku 4.5 | $0.00007 | $0.00359 |
Grade A, and why
pptx-posters 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 1mo 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.
This is a copy
95% identical to pptx-posters — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPTX Research Posters (HTML-Based)
Overview
⚠️ USE THIS SKILL ONLY WHEN USER EXPLICITLY REQUESTS PPTX/POWERPOINT POSTER FORMAT.
For standard research posters, use the latex-posters skill instead, which provides better typographic control and is the default for academic conferences.
This skill creates research posters using HTML/CSS, which can then be exported to PDF or converted to PowerPoint format. The web-based approach offers:
- Modern, responsive layouts
- Easy integration of AI-generated visuals
- Quick iteration and preview in browser
- Export to PDF via browser print function
- Conversion to PPTX if specifically needed
When to Use This Skill
ONLY use this skill when:
- User explicitly requests "PPTX poster", "PowerPoint poster", or "PPT poster"
- User specifically asks for HTML-based poster
- User needs to edit poster in PowerPoint after creation
- LaTeX is not available or user requests non-LaTeX solution
DO NOT use this skill when:
- User asks for a "poster" without specifying format → Use latex-posters
- User asks for "research poster" or "conference poster" → Use latex-posters
- User mentions LaTeX, tikzposter, beamerposter, or baposter → Use latex-posters
AI-Powered Visual Element Generation
STANDARD WORKFLOW: Generate ALL major visual elements using AI before creating the HTML poster.
This is the recommended approach for creating visually compelling posters:
- Plan all visual elements needed (hero image, intro, methods, results, conclusions)
- Generate each element using scientific-schematics or Nano Banana Pro
- Assemble generated images in the HTML template
- Add text content around the visuals
Target: 60-70% of poster area should be AI-generated visuals, 30-40% text.
CRITICAL: Poster-Size Font Requirements
⚠️ ALL text within AI-generated visualizations MUST be poster-readable.
When generating graphics for posters, you MUST include font size specifications in EVERY prompt. Poster graphics are viewed from 4-6 feet away, so text must be LARGE.
What ships with it
7 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.
- assets/poster_html_template.html 5.5 KB
- assets/poster_quality_checklist.md 11 KB
- references/poster_content_guide.md 20 KB
- references/poster_design_principles.md 22 KB
- references/poster_layout_design.md 22 KB
- scripts/generate_schematic_ai.py 32 KB runs code
- scripts/generate_schematic.py 5.0 KB runs code
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.
- 1mo ago First seen · 415 lines · 66 tokens per session scan A 07972eb4c735
pptx-posters is a skill published in the GitHub repository Lord1Egypt/scientific-agent-toolkit (3 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 3,586 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to pptx-posters, differing in 2 lines, and is treated as a copy.
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