comment-sweep

comment-sweep is a Change & PR review skill for AI agents, published by wbrown in the janus-datalog repository on GitHub. Skillspace rates comment-sweep D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Sweep a package, directory, or the whole tree for comments that do not describe the present code — comments written for someone reading a diff, comments that are flatly false about current behaviour, and comments several times longer than the fact they carry. Use it when clearing a backlog across many files, when a review turns up one of these and you suspect a cluster, or before publishing a repo. Covers what to remove, what is protected (regression specifications, bug-doc citations, expected-value derivations, external constraints), how to delete without leaving fragments, and how to partition the work across agents. The enforcement counterpart is failure mode 9 in .claude/hooks/review-edit.system.md; the two state one taxonomy and must be updated together.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
51

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
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

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

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