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 Lzy599775/agent-auto-sci-skills --skill latex-postersgit clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-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/lzy599775/agent-auto-sci-skills/latex-posters)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/latex-posters"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/latex-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/lzy599775/agent-auto-sci-skills/latex-posters"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/latex-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 | $0.00060 | $0.03941 |
| Opus 5 | $0.00030 | $0.01971 |
| Sonnet 5 | $0.00012 | $0.00788 |
| Haiku 4.5 | $0.00006 | $0.00394 |
Grade A, and why
latex-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 4d 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
94% identical to latex-posters — 0 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 — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Research Posters
Overview
Research posters are a critical medium for scientific communication at conferences, symposia, and academic events. This skill provides comprehensive guidance for creating professional, visually appealing research posters using LaTeX packages. Generate publication-quality posters with proper layout, typography, color schemes, and visual hierarchy.
When to Use This Skill
This skill should be used when:
- Creating research posters for conferences, symposia, or poster sessions
- Designing academic posters for university events or thesis defenses
- Preparing visual summaries of research for public engagement
- Converting scientific papers into poster format
- Creating template posters for research groups or departments
- Designing posters that comply with specific conference size requirements (A0, A1, 36×48", etc.)
- Building posters with complex multi-column layouts
- Integrating figures, tables, equations, and citations in poster format
AI-Powered Visual Element Generation
STANDARD WORKFLOW: Generate ALL major visual elements using AI before creating the LaTeX poster.
This is the recommended approach for creating visually compelling posters:
- Plan all visual elements needed (title, intro, methods, results, conclusions)
- Generate each element using scientific-schematics or Nano Banana Pro
- Assemble generated images in the LaTeX template
- Add text content around the visuals
Target: 60-70% of poster area should be AI-generated visuals, 30-40% text.
Hard limits (do not exceed)
These are limits, not guidelines. Violating them is the single most common cause of a failed poster. Full reasoning, per-graphic-type tables, and worked examples are in references/ai_graphics_for_posters.md.
| Constraint | Limit |
|---|---|
| Elements per AI-generated graphic | 3-4 maximum (3 ideal) |
| Words per graphic | 10 maximum |
| White space per graphic | 50% minimum (60% better) |
| Key numbers / metrics | 120pt+ |
| Labels | 80pt+ |
| Body text on the poster | 24pt+ |
| Content sections (A0) | 5-6 maximum |
| Total words on the poster | 300-800 |
| Figure width | 0.85\linewidth, never 1.0 |
What ships with it
16 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/baposter_template.tex 7.3 KB
- assets/beamerposter_template.tex 7.5 KB
- assets/poster_quality_checklist.md 11 KB
- assets/tikzposter_template.tex 7.7 KB
- references/ai_graphics_for_posters.md 24 KB
- references/compilation_and_quality_control.md 14 KB
- references/latex_poster_packages.md 17 KB
- references/latex_poster_reference.md 7.2 KB
- references/poster_content_guide.md 20 KB
- references/poster_design_principles.md 22 KB
- references/poster_layout_design.md 22 KB
- references/poster_patterns_and_presentation.md 2.6 KB
- references/README.md 12 KB
- scripts/generate_schematic_ai.py 38 KB runs code
- scripts/generate_schematic.py 7.4 KB runs code
- scripts/review_poster.sh 7.8 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.
- 4d ago Changed · +18 lines 5fd68aee9461
- 10d ago First seen · 370 lines · 60 tokens per session scan A be45bd1045f8
latex-posters is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 60 tokens to every session and 3,941 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to latex-posters, differing in 0 lines, and is treated as a copy.
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