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/raja21068/AutoResearchnpx agentmods add skills/raja21068/autoresearch/paper-posterWrote 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/raja21068/autoresearch/paper-poster)<a href="https://agentmods.dev/skills/raja21068/autoresearch/paper-poster"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/paper-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/raja21068/autoresearch/paper-poster"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/paper-poster.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00076 | $0.14526 |
| Opus 5 | $0.00038 | $0.07263 |
| Sonnet 5 | $0.00015 | $0.02905 |
| Haiku 4.5 | $0.00008 | $0.01453 |
Grade B, and why
paper-poster scanned grade B with 2 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 6d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
# Option 1: brew cask (requires sudo — may fail in non-interactive shells) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L https://mirror.ctan.org/systems/texlive/tlnet/install-tl-unx.tar.gz | tar xz How it starts
The opening of the file, as written. The whole thing — 1,126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Poster: From Paper to Conference Poster
Generate a conference poster from: $ARGUMENTS
Context
This skill runs after Workflow 3 (/paper-writing). It takes a compiled paper and generates a print-ready poster for conference poster sessions. The poster extracts key content from the paper — it does not dump the full paper text onto a poster.
Unlike papers (dense prose, 8-15 pages), posters are visual-first: one page, 4 columns, bullet points only, figures dominant. A good poster tells the story in 60 seconds.
Constants
- VENUE =
NeurIPS— Target venue, determines color scheme. Supported:NeurIPS,ICML,ICLR,AAAI,ACL,EMNLP,CVPR,ECCV,GENERIC. Override via argument (e.g.,/paper-poster "— venue: ICML"). - POSTER_SIZE =
A0— Paper size. Options:A0(841x1189mm, default),A1(594x841mm). - ORIENTATION =
landscape— Orientation. Options:landscape(default),portrait. - COLUMNS = 4 — Number of content columns. Typical: 4 for landscape A0 (IMRAD), 3 for portrait A0 (research consensus), 2 for portrait A1. Portrait A0 should NEVER use 4 columns — text becomes too narrow and unreadable.
- PAPER_DIR =
paper/— Directory containing the compiled paper (main.tex + figures/). - OUTPUT_DIR =
poster/— Output directory for all poster files. - REVIEWER_MODEL =
gpt-5.4— Model used via Codex MCP for poster review. - AUTO_PROCEED = false — At each checkpoint, always wait for explicit user confirmation. Set
trueonly if user explicitly requests fully autonomous mode. - COMPILER =
latexmk— LaTeX build tool. - ENGINE =
pdflatex— LaTeX engine. Usexelatexfor CJK text.
💡 Override:
/paper-poster "paper/" — venue: CVPR, size: A1, orientation: portrait, columns: 3
Optional: Style reference (— style-ref: <source>, opt-in)
Lets the user steer the poster's structural layout (panel-to-text ratio, figure density, caption length) toward a reference paper. Default OFF — when the user does not pass — style-ref, do nothing differently from before.
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.
- 6d ago First seen · 1,126 lines · 76 tokens per session scan B 378c748f90d6
paper-poster is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 14,526 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
plotting-agent
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimentallog.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER…
plotting-agent
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimentallog.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER…
content-refinement-agent
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate…
section-writing-agent
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimentallog.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges…
outline-agent
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimentallog.md, template.tex, conferenceguidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator…
paper-autoraters
Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the…