setup-paper

setup-paper is an Academic writing & papers skill for AI agents, published by Alexander-M-Dickerson in the ai-asset-pricing repository on GitHub. Skillspace rates setup-paper D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Scaffolds a new academic paper from the LaTeX boilerplate template. Copies template files, replaces placeholder tokens with user-provided title, authors, and affiliations, writes [REMOVE]-tagged filler content with Fama-French citations, and compiles a test PDF. Use when starting a new paper or creating a fresh LaTeX project.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
58

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.

View source on GitHubAlexander-M-Dickerson/ai-asset-pricing

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked 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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