logseq-review-workflow-eval

logseq-review-workflow-eval is a Skill evaluation & testing skill for AI agents, published by logseq in the logseq repository on GitHub. Skillspace rates logseq-review-workflow-eval B (81/100) and it passed the safety scan; a judge model has also reviewed it.

Compare two revisions of the Logseq logseq-review-workflow skill by running the same review prompt against isolated before and after skill snapshots, collecting both outputs, and producing a structured delta. Use when evaluating whether changes to .agents/skills/logseq-review-workflow improved review quality, coverage, validation rigor, subagent orchestration, or false-positive rate.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
43,902

Placed #3 of 6 in the judged category final for Skill evaluation & testing.

Not launch-quality. It is graded B 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

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
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. Evaluates revisions of this repo's own logseq-review-workflow skill.

Judge review

Placed #3 of 6 in the judged category final for Skill evaluation & testing.

  • Trigger9292
  • Instructions9292
  • Specificity9292
  • Safety9090
  • Disclosure9292
  • Maintenance9090
Real blind-evaluation methodology (no cross-contamination between before/after runs) with actual setup/compare scripts and a rubric reference.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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