paper2poster

paper2poster is a skill for Claude Code from QuZhan51496/paper2anything. It costs 76 tokens per session (9,155 once invoked), scanned A, original, Apache-2.0.

A process for turning an academic paper in PDF form into a conference poster as HTML and PNG.

In plain words
What is it for?
Use it to extract paper content and figures, outline poster sections, choose visuals, write the poster HTML, render it, and iterate on the final image.
Why use it?
It organizes the paper's text and figures into a poster and checks whether the rendered result is readable.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool.

Good fit Use it to extract paper content and figures, outline poster sections, choose visuals, write the poster HTML, render it, and iterate on the final image.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quzhan51496/paper2anything/paper2poster
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.

Any agent
npx skills add QuZhan51496/paper2anything --skill paper2poster
Clone the repo
git clone --depth 1 https://github.com/QuZhan51496/paper2anything

Made for: Claude Code.

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 paper2poster

README.md
[![agentmods](https://agentmods.dev/badge/skills/quzhan51496/paper2anything/paper2poster/github.svg)](https://agentmods.dev/skills/quzhan51496/paper2anything/paper2poster)
Your own site
<a href="https://agentmods.dev/skills/quzhan51496/paper2anything/paper2poster"><img src="https://agentmods.dev/badge/skills/quzhan51496/paper2anything/paper2poster/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.

agentmods 80×15 button for paper2poster

Your own site · 80×15
<a href="https://agentmods.dev/skills/quzhan51496/paper2anything/paper2poster"><img src="https://agentmods.dev/badge/skills/quzhan51496/paper2anything/paper2poster.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,155 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00076 $0.09155
Opus 5 $0.00038 $0.04577
Sonnet 5 $0.00015 $0.01831
Haiku 4.5 $0.00008 $0.00915

Measured 10d ago against content hash 360c7ef934d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

paper2poster 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 10d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/_env.py, scripts/auto_outline.py, scripts/check_env.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

paper2poster/SKILL.md · 502 lines

How it starts

The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper2Poster — Conference Poster Skill (You as Conductor)

Convert a paper PDF into an academic conference poster (HTML/PNG) by walking a small set of CLI scripts. You are the conductor: this file is the recipe, not an orchestrator. There is no run_pipeline.py — at each step you run one Bash command, read the intermediate artifact, and ask the user for confirmation at the decision points below.

PDF
  → parse_pdf.py            (MinerU → content.md + figures/)
  → intake QA               (you ask size/venue/authors/visual policy)
  → auto_outline.py         (digest.json + assets[])
  → choose visuals          (you read parsed/figures/ + captions: which sections use an original figure, which use text)
  → outline.json            (you write from content.md; user confirms)
  → poster.html             (you hand-author the poster: original figures where they help, text elsewhere)
  → render + score          (Playwright PNG → deterministic geometry check + your own visual read + blind-reader content quiz)
  → iterate on poster.html  (edit + re-render + re-score until it reads like a real poster)
  → poster.png

problem_context, method_main, and result_evidence are a useful reading-order spine to think about — what's the paper about, how does it work, what's the evidence. For each, decide what carries it best: an original paper figure if one reads well at poster scale, or text (a worded explanation, a labelled box, a short list) if no figure fits. There is no figure quota — use as many or as few original figures as the content calls for, down to zero. A text-only section, or a text-only poster, is a legitimate outcome when the figures don't earn their place.


How you run this skill

This skill only works if you execute it as a sequence of small Bash + Read + AskUserQuestion turns. Do not try to short-circuit it.

  1. Run one step at a time with the Bash tool, exactly as written below. Use absolute paths under ${SKILL_DIR} (the directory this skill lives in — e.g. <…>/paper2anything/paper2poster; set it once per shell with export SKILL_DIR=<…>/paper2anything/paper2poster).
  2. Read the intermediate artifact before moving on:
    • after Step 3: the figures you considered, viewed in parsed/figures/ (and their captions in digest.json), and which sections you decided to carry with text instead,
    • after Step 5: your rendered poster.png, plus your visual read and the blind-reader quiz result.
  3. Pause for the user at the decision points with AskUserQuestion:
    • After Step 2 — intake: size, venue, author block, visual policy.
    • After Step 3 — is your per-section visual plan (which sections use an original figure, which use text) acceptable?
    • After Step 4 — is the outline structure acceptable?
    • After Step 8 — accept the poster, or revise/restyle it?
  4. Let the content decide whether a section gets a figure. Use an original paper figure where one genuinely helps; carry a section with text when no figure earns its place. Don't pad the poster with weak figures to hit a count, and don't strip a figure that's doing real work. A text-only section — or a text-only poster — is fine.
  5. Score every render, then iterate (Steps 5–7). After each render, run the deterministic geometry check and look at the PNG yourself (your visual read — hierarchy/density/balance/readability); run the blind-reader content quiz (Step 7) at milestones rather than on every micro-edit (it spawns a subagent, so it costs more than reading a PNG). Let what they surface drive the next edit; don't ship the first render unscored. The geometry check is two-sided: not just "no overflow" but also a fill ratio ≥ 0.95 — a poster that fits but leaves large whitespace (or shrinks text to do so) fails and must be iterated. Verify this gate yourself; how you reach it is your judgment.
  6. Don't overwrite a good render — keep scored candidates. Iteration is not always monotonic: an edit aimed at one issue can regress overall quality, and the version you had three edits ago may have read better. Before a non-trivial restyle or structural change, save the current render as a numbered candidate (e.g. copy poster.html/poster.png to poster_candN.html/poster_candN.png) and record its scores. Pick the final from the best-scoring candidate, not just the latest edit. Never let a higher-scoring intermediate be silently overwritten by a worse one.
  7. On error, stop and diagnose. Do not silently fall back to a degraded path to "make it run."

Read the full file on GitHub · 502 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. 10d ago First seen · 502 lines · 76 tokens per session scan A 360c7ef934d0

Subscribe to this mod's changes

paper2poster is a skill published in the GitHub repository QuZhan51496/paper2anything (416 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 76 tokens to every session and 9,155 once invoked, about $0.0004 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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