Skill audit report
대상 화면(스택 불문)의 AI-slop 을 문답 없이 걷어내는 병렬-점검 파이프라인 스킬. 단일 에이전트가 규칙을 다 들고 한 번에 고치면 규칙이 컨텍스트 용량에 밀려 조용히 누락되므로(실증됨), 이 스킬은 그 대신 5개 영역(대표슬롭 기계제거·레이아웃컨테이너·간격·타이포·색)을 영역별 서브에이전트로 병렬 정적 점검 → findings 리포트 발행 → 의존성 순서로 순차 집행 → 신선한 에이전트로 재점검 → 렌더 1회로 돌린다. 각 에이전트가 자기 영역만 들어 규칙 드롭이 없고, findings 는 파일로 외부화돼 지휘자·집행자 컨텍스트가 얇게 유지된다. 상세 규칙은 references/inspection-areas.md 가 SSOT. 사용자가 "/slopslap", "빠르게 슬롭 걷어줘", "과감히 AI 티 빼줘", "여백·그리드·색 정리", "이 화면 슬롭 점검하고 고쳐" 라고 하거나, 계층 문답 없이 통계적 AI 결함을 기계적으로 걷어내길 원할 때 쓴다.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
36 GitHub stars
Stars/forks activity
WARN43
36 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add vibedesignlab/slopslap --skill slopslap
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
network or browser access, database access
Repository evidence
PASS86
https://github.com/vibedesignlab/slopslap/tree/main/.claude/skills/slopslap
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add vibedesignlab/slopslap --skill slopslap
Repository
88
https://github.com/vibedesignlab/slopslap/tree/main/.claude/skills/slopslap
License
86
MIT
Maintenance
88
3mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
74
network or browser access, database access
Stars/forks activity
43
36 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
36 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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