Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/beita6969/ScienceClawnpx agentmods add skills/beita6969/scienceclaw/latex-postersWrote 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/beita6969/scienceclaw/latex-posters)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/latex-posters"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/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/beita6969/scienceclaw/latex-posters"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/latex-posters.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.15500 |
| Opus 5 | $0.00030 | $0.07750 |
| Sonnet 5 | $0.00012 | $0.03100 |
| Haiku 4.5 | $0.00006 | $0.01550 |
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 9d 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- latex-posters — 100% identical, 0 lines differ
- latex-posters — 97% identical, 18 lines differ
- latex-posters — 97% identical, 18 lines differ
- latex-posters — 92% identical, 20 lines differ
- latex-posters — 91% identical, 20 lines differ
- latex-posters — 91% identical, 20 lines differ
- latex-posters — 91% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 1,603 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.
CRITICAL: Preventing Content Overflow
⚠️ POSTERS MUST NOT HAVE TEXT OR CONTENT CUT OFF AT EDGES.
Common Overflow Problems:
- Title/footer text extending beyond page boundaries
- Too many sections crammed into available space
- Figures placed too close to edges
- Text blocks exceeding column widths
Prevention Rules:
1. Limit Content Sections (MAXIMUM 5-6 sections for A0):
✅ GOOD - 5 sections with room to breathe:
- Title/Header
- Introduction/Problem
- Methods
- Results (1-2 key findings)
- Conclusions
❌ BAD - 8+ sections crammed together:
- Overview, Introduction, Background, Methods,
- Results 1, Results 2, Discussion, Conclusions, Future Work
What ships with it
10 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/latex_poster_packages.md 17 KB
- references/poster_content_guide.md 20 KB
- references/poster_design_principles.md 22 KB
- references/poster_layout_design.md 22 KB
- references/README.md 11 KB
- 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.
- 9d ago First seen · 1,603 lines · 60 tokens per session scan A ab4099779d9c
latex-posters is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 15,500 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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