journal-intelligence
journal-intelligence is an Academic writing & papers skill for AI agents, published by eniktab in the scientific-paper-writer repository on GitHub. Skillspace rates journal-intelligence D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Fetch live submission requirements for any scientific journal before writing. Use before scientific-writing or any manuscript task: retrieves author guidelines, word limits, abstract format, figure limits, citation style, AI authorship policy (exact disclosure language), and LaTeX template via WebSearch/WebFetch. Stores results in journal_profile.yaml as the single source of truth for all formatting decisions. Covers Nature family, Cell Press, Elsevier, Wiley, Springer, PLOS, PNAS, ACS, RSC, IEEE, ACM, and any other journal.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 26
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
- 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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