paper2poster

paper2poster is a Pages & visual deliverables skill for AI agents, published by microsoft in the ResearchStudio repository on GitHub. Skillspace rates paper2poster D (57/100) and it passed the safety scan; the rating is based on static analysis only.

Render a pre-extracted paper's structured 9-section spec (`paper_spec.md`) into a single-page HTML academic poster, fit the layout to the page via an iterative measured-fill loop, and export it to print-ready PDF + PNG thumbnail. Requires the upstream `paper2assets` skill to have produced an output bundle with `manifest.json` at the root and an `assets/` folder holding the paper metadata and media. Use when the user wants an HTML poster, PDF/PNG export, or PPTX from extracted paper assets, for example "render the poster", "make the poster from this spec", "export poster to PDF", or "paper2poster". The three skills paper2assets → paper2poster → html2pptx run in sequence, each invokable on its own.

Grade
D
Quality
57 / 100
Safety
Passed
GitHub stars
2,797

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
88 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • over-broad allowed-tools ('*')
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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