pr-quiz
pr-quiz is a Change & PR review skill for AI agents, published by Stirling-Tools in the Stirling-PDF repository on GitHub. Skillspace rates pr-quiz D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Quiz the PR author on their own branch before they request review, to prove they actually understand the change - especially code an AI wrote for them. Scopes the branch diff vs its base, reads the changed code, then asks graded questions about what changed, why, how it works, what it could break, and which edge cases it must handle. Presents all questions first, waits for the author's answers, then grades each honestly against the real code (Correct / Partial / Incorrect with the true answer and file:line), scores it, and gives a readiness verdict that names the areas to re-study before asking humans to review. Use when asked to quiz me on my PR/branch, "test my understanding before review", a self-check gate before opening a PR, or before requesting reviewers. Administered as an interactive multiple-choice quiz (clickable options) by default; pass --free-text for written answers, --questions N to set count, --save to write a scorecard.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 91,889
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
- 84 / 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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