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/x-cmd/skillnpx agentmods add skills/x-cmd/skill/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/x-cmd/skill/latex-posters)<a href="https://agentmods.dev/skills/x-cmd/skill/latex-posters"><img src="https://agentmods.dev/badge/skills/x-cmd/skill/latex-posters.svg" alt="Measured on agentmods" 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 | $0.07461 |
| Opus 5 | $0.00030 | $0.03730 |
| Sonnet 5 | $0.00012 | $0.01492 |
| Haiku 4.5 | $0.00006 | $0.00746 |
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 3d 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
86% identical to latex-posters — 52 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 — 964 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
Visual Enhancement with Scientific Schematics
⚠️ MANDATORY: Every research poster MUST include at least 2-3 AI-generated figures using the scientific-schematics skill.
This is not optional. Posters are primarily visual media - text-heavy posters fail to communicate effectively. Before finalizing any poster:
- Generate at minimum TWO schematics or diagrams
- Target 3-4 figures for comprehensive posters (methodology flowchart, key results visualization, conceptual framework)
- Figures should occupy 40-50% of poster area
How to generate figures:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
The AI will automatically:
- Create publication-quality images with proper formatting
- Review and refine through multiple iterations
- Ensure accessibility (colorblind-friendly, high contrast)
- Save outputs in the figures/ directory
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.
- 3d ago First seen · 964 lines · 60 tokens per session scan A 81e7c6136d95
latex-posters is a skill published in the GitHub repository x-cmd/skill (26 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 60 tokens to every session and 7,461 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to latex-posters, differing in 52 lines, and is treated as a copy.
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