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.
Borrowing it
Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/poster/SKILL.mdgit 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/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/skyllwt/autosci/poster"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/poster.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 281 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00024 | $0.12248 |
| Opus 5.5 | $0.00010 | $0.04899 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo ago First seen · 684 lines · 24 tokens per session scan A b7d4e1fb509a
poster is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 12,248 once invoked, about $0.0001 per session on Opus 5.5. 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.
poster compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| posterskyllwt/AutoSci | Skill | 1.7k | 1mo ago | MIT | A | 24 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |