pub-cycle
pub-cycle is an Academic writing & papers skill for AI agents, published by the-omega-institute in the automath repository on GitHub. Skillspace rates pub-cycle D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Publication Cycle — scans the main theory paper, identifies new paper extractions and existing paper gaps, then orchestrates the full review+fix pipeline. Workflow: Triage → Codex review+fix (2 rounds) → ChatGPT review → Codex fix → Claude review → Codex fix → ChatGPT journal-targeted acceptance gate. During wait times, runs backflow from ACCEPT papers into core theory. Trigger: /pub-cycle, "scan papers", "publication cycle", "review cycle"
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 71
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
- 84 / 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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