augment-review

augment-review is a Review feedback & PR process skill for AI agents, published by refined-prun in the refined-prun repository on GitHub. Skillspace rates augment-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Extract human review comments from working copy and append as findings to pr-review.md. User adds comments in source files, runs this skill to capture them, then working copy is reset. Validates all changes are comments-only. Triggers on "augment review", "add review comments", "human review", "add findings". Do NOT use without an existing review file (run /review-pr first).

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
34

Unproven: rated by static analysis only, not yet compared head-to-head.

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
100 / 100
Maturity
Basic: a single SKILL.md
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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