review-pr
review-pr is a Change & PR review skill for AI agents, published by intel in the auto-round repository on GitHub. Skillspace rates review-pr D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Review or prepare a pull request for the AutoRound repository — checks registration points for new data types/backends/VLMs, validates Chinese translation parity for modified markdown files, verifies quantization numerical stability (scale overflow, STE gradient flow, group_size padding), confirms test placement and fixture usage, and enforces Apache 2.0 headers and DCO sign-off. Use when performing a code review, running a PR checklist, preparing a merge request, or auditing a contribution before submit.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,520
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.