autoresearch:ship
autoresearch:ship is a Release cutting & versioning skill for AI agents, published by wjgoarxiv in the autoresearch-skill repository on GitHub. Skillspace rates autoresearch:ship D (56/100) and it passed the safety scan; the rating is based on static analysis only.
Universal shipping workflow: 8-phase linear pipeline from verification to deploy. Reads type-checklists.md to select the right checklist for the artifact type. The ONLY pause is Phase 7 (user confirmation before irreversible deploy/publish). TRIGGER when: user wants to ship, release, publish, or deploy something; user asks "is this ready to ship?"; user wants a pre-release checklist; user wants to publish a package, CLI, API, web app, ML model, skill, docs site, infrastructure, or research paper; user invokes /autoresearch:ship. DO NOT TRIGGER when: user wants iterative development (use autoresearch); user wants to debug errors (use autoresearch:fix); user just wants a code review.
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 24
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
- 73 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- 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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