poster

poster is a skill for Claude Code, Codex from skyllwt/AutoSci. It costs 24 tokens per session (12,248 once invoked), scanned A, original, MIT.

A tool that turns a drafted research paper into a single-page academic poster in HTML. It summarizes sections, selects figures, and arranges the content in columns.

In plain words
What is it for?
Use it with a LaTeX paper to create a poster, optionally omit figures or logos, anonymize authors, or request a content review.
Why use it?
It reduces the manual work of condensing a paper and arranging its text and figures into a poster layout.

Skill for Claude CodeCodex

About the project

AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.

skyllwt/AutoSci · 1,660 stars · on GitHub

Install

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.

agentmods
npx agentmods add skills/skyllwt/autosci/poster
Any agent
npx skills add skyllwt/AutoSci --skill poster
Clone the repo
git clone --depth 1 https://github.com/skyllwt/AutoSci

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for poster

README.md
[![agentmods](https://agentmods.dev/badge/skills/skyllwt/autosci/poster.svg)](https://agentmods.dev/skills/skyllwt/autosci/poster)
Your own site
<a href="https://agentmods.dev/skills/skyllwt/autosci/poster"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/poster.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,248 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.12248
Opus 5 $0.00012 $0.06124
Sonnet 5 $0.00005 $0.02450
Haiku 4.5 $0.00002 $0.01225

Measured 5d ago against content hash b7d4e1fb509a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

poster 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 5d 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.

.claude/skills/poster/SKILL.md · 684 lines

How it starts

The opening of the file, as written. The whole thing — 684 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/poster

Generate an academic HTML poster from a drafted paper. Reads paper/main.tex, section files, and figures; builds a PaperX-compatible dag.json intermediate; distills each section into a 2–5 sentence summary; selects representative figures; renders into a self-contained HTML poster with a 3-column auto-fit layout.

Inputs

Common

  • paper_dir (optional, default paper/): LaTeX project directory containing main.tex and sections/
  • --review (optional): cross-model Review LLM critique of the generated poster content
  • --anonymous (optional): force authors to "Anonymous" regardless of \author{} content, the paper/.author_display.txt cache, or --authors
  • --no-figures (optional): render every section as text-only (useful for text-heavy posters, or when figures aren't ready)
  • --no-logos (optional): skip the affiliation/conference-logo prompts; header shows venue text only
  • --no-refine (optional): skip Step 5.5 critique-revise (default runs 1 iteration via Claude)

Power-user (scripted use; rarely needed in interactive runs)

  • --authors STR: override the authors text on the poster (e.g. --authors "Morrow Yang, Co-Author"). Useful for one-off override; everyday use is handled by the paper/.author_display.txt cache populated in Step 0 Q1. Ignored if --anonymous is also set.
  • --venue STR: venue text for the header right block (e.g. "NeurIPS 2026"). Skips Step 0 venue prompt.
  • --affiliation-logo PATH / --conference-logo PATH: logo file paths (PNG/JPG/PDF); each skips the matching Step 0 prompt.
  • --layout corners|stacked (default corners): header layout. corners = affiliation top-left, conference top-right; stacked = both logos in the right .conf area with venue text above.
  • --auto-figures: skip the per-section figure questions; pick the largest candidate for each section (legacy behavior). The ⚠ wide marker on aspect-extreme figures (≥ 2.0 or ≤ 0.5) is informational only — every selected figure renders inline within its section regardless of aspect.
  • --refine-iterations N (default 1, cap 2): number of critique-revise passes in Step 5.5. 0 is equivalent to --no-refine. Bump to 2 if a first pass might not converge on dense content.

Read the full file on GitHub · 684 lines

Changes

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.

  1. 5d ago First seen · 684 lines · 24 tokens per session scan A b7d4e1fb509a

Subscribe to this mod's changes

poster is a skill published in the GitHub repository skyllwt/AutoSci (1,660 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 12,248 once invoked, about $0.0001 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 2026-08-30.

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