logseq-review-workflow
logseq-review-workflow is a Change & PR review skill for AI agents, published by logseq in the logseq repository on GitHub. Skillspace rates logseq-review-workflow C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Review Logseq code changes, PRs, patches, commit ranges, or implementation plans through one main-agent orchestration workflow that routes read-only subagents across independent review passes, then deduplicates, validates, and reports findings for the web app, desktop app, and Logseq CLI.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 43,902
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Reviews Logseq's own web, desktop and CLI code changes
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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