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.
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 agentmods add skills/skyllwt/autosci/posternpx skills add skyllwt/AutoSci --skill postergit clone --depth 1 https://github.com/skyllwt/AutoSciWrote 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/skyllwt/autosci/poster)<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>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 | $0.00024 | $0.12248 |
| Opus 5 | $0.00012 | $0.06124 |
| Sonnet 5 | $0.00005 | $0.02450 |
| Haiku 4.5 | $0.00002 | $0.01225 |
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.
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-compatibledag.jsonintermediate; 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, defaultpaper/): LaTeX project directory containingmain.texandsections/--review(optional): cross-model Review LLM critique of the generated poster content--anonymous(optional): force authors to "Anonymous" regardless of\author{}content, thepaper/.author_display.txtcache, 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 thepaper/.author_display.txtcache populated in Step 0 Q1. Ignored if--anonymousis 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(defaultcorners): header layout.corners= affiliation top-left, conference top-right;stacked= both logos in the right.confarea 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 5.5.0is equivalent to--no-refine. Bump to 2 if a first pass might not converge on dense content.
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.
- 5d ago First seen · 684 lines · 24 tokens per session scan A b7d4e1fb509a
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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