pr-review
pr-review is a Change & PR review skill for AI agents, published by idaholab in the moose repository on GitHub. Skillspace rates pr-review D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Review a MOOSE pull request or local branch against MOOSE's contribution standards: applicable AGENTS.md guidance, the MOOSE Code Standard (SCS), the SQA testing rules (every test is a requirement, with requirement/design/issues), required documentation stub pages for new objects, and PR governance (issue references, scope, required-vs-suggested phrasing). Use this whenever someone wants to review MOOSE changes or asks "review this PR", "review my branch", "is this ready to merge", "check my changes before I submit", or wants pre-submission feedback on code in the MOOSE framework or its modules - even if they never say the word "review". This is the MOOSE-aware review layer; it complements the generic /code-review and /security-review skills and defers to them for deep correctness and security analysis rather than duplicating that work.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 2,346
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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