physics-paper
physics-paper is an Academic writing & papers skill for AI agents, published by CompPhysics in the QuantumComputingMachineLearning repository on GitHub. Skillspace rates physics-paper C (72/100) and it passed the safety scan; the rating is based on static analysis only.
How to build the LaTeX scientific article from the notebook: extract the notebook figures, write/maintain the paper in the project's article style, and compile to PDF. Use this skill WHENEVER the task is to create, edit, or compile the paper (eigenq_pairing.tex), pull figures out of the notebook into paper/figs, update the author list or bibliography, or turn notebook results into article prose. Follow `references/article-conventions.md` for the house style (article class, authblk author block, figure/caption rules).
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 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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