paper-style-calibration
paper-style-calibration is an Academic writing & papers skill for AI agents, published by moonlarry in the codex-paper-skills repository on GitHub. Skillspace rates paper-style-calibration C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Calibrate academic writing style based on external samples. Extract complete style profile from reference, diagnose target paper, and generate restructured copy. Always performs full analysis (deep) and complete pipeline (profile → diagnosis → restructure). Outputs to ./paper-style/runs/<timestamp>-<target>/.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 114
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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