paperjury
paperjury is an Academic writing & papers skill for AI agents, published by Spark-To-Paper-Skills in the paperjury-codex repository on GitHub. Skillspace rates paperjury D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Pre-submission CS-conference LaTeX paper editing and adversarial review. Use for direct edits such as polish, de-AI, translating Chinese notes to LaTeX, compressing passages, captions, and experiment prose; for review or critique requests such as review, mock-review, 审稿, 评审; and for explicit auto or goal-driven review-revise loops. Runs deterministic Node guards, a durable ledger, isolated reviewer and juror fan-out, author sign-off, and compile or compliance checks. Not for writing a paper from scratch, figure generation, or official rebuttals.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 216
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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