pr-review
pr-review is a Change & PR review skill for AI agents, published by confluentinc in the mcp-confluent repository on GitHub. Skillspace rates pr-review F (40/100) and it passed the safety scan; the rating is based on static analysis only.
Reviews pull requests for the Confluent MCP server. Use when reviewing PRs, doing self-review before sharing with the team, or when the user mentions "review PR", "help with PR", "review changes", "self-review", "review local changes", or "check my PR". Focuses on MCP tool wiring, OpenAPI/type coupling, ESM stubbability, transport security, and project-specific patterns.
- Grade
- F
- Quality
- 40 / 100
- Safety
- Passed
- GitHub stars
- 164
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
- 68 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- 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
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.