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Recommend

Skill rulebased-io/harness/rulebased-harness/skills/recommend

Harness engineering tools for AI agents — audit, init, recommend your project's agent-readiness (AGENTS.md, context engineering, eval)

Install
npx -y skills add rulebased-io/harness --skill recommend

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Recommends missing and hollow harness elements, suggests migrations and auto-generates fixes

SKILL.md

1.5 KB, as published. Nobody here has run it

Audits the current project's harness state and recommends improvements.

The CLAUDE_PLUGIN_PATH provided by the hook is this plugin's root. Read ${CLAUDE_PLUGIN_PATH}/reference/index.md for the 36-item criteria and hollow detection. Read the guide-*.md files for code examples and improvement strategies.

Workflow

  1. Check each item: pass, hollow, or fail
  2. For failed items: recommend creation
  3. For hollow items: recommend content filling or migration
  4. Sort by priority: critical fail → critical hollow → important fail → important hollow → nice-to-have

Recommendation Types

Missing (fail → create): 항목이 없음. 새로 생성. Hollow (hollow → fill): 구조는 있으나 비어 있음. 콘텐츠 채우기 또는 마이그레이션. Enhancement (pass → better): 기본 충족, 추가 개선 가능.

Priority Mapping

Priority대상auto-fix
Criticalfail인 critical 항목
Highhollow인 critical + fail인 important
Mediumhollow인 important + fail인 nice-to-have일부
Lowhollow인 nice-to-have-

Migration Scan

hollow 워크플로우 항목 발견 시 기존 자산 탐색:

  • TODO.md, backlog.md, roadmap.mdspecs/backlog/
  • exec-plans/, plans/specs/todo/

승인된 항목만 변환한다.

$ARGUMENTS

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.