mcaf-human-review-planning

mcaf-human-review-planning is a Change & PR review skill for AI agents, published by managedcode in the dotnet-skills repository on GitHub. Skillspace rates mcaf-human-review-planning C (73/100) and it passed the safety scan; the rating is based on static analysis only.

Apply MCAF human-review-planning guidance for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the. USE FOR: a large AI-generated code drop needs a human review plan; the reviewer cannot inspect every line and needs prioritization; the user asks which files are highest risk. DO NOT USE FOR: normal small pull-request review; automated bug finding without creating a human review sequence. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

Grade
C
Quality
73 / 100
Safety
Passed
GitHub stars
459

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.

View source on GitHubmanagedcode/dotnet-skills

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
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

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