Skill audit report
Biên tập văn bản tiếng Việt máy móc, sáo rỗng hoặc đều giọng để câu chữ tự nhiên, rõ và đúng ngữ cảnh. Dùng khi người dùng yêu cầu làm văn bản bớt khuôn mẫu, chỉnh giọng hoặc bảo toàn giọng tác giả; không dùng để suy đoán tác giả là AI, lách detector, sửa thuần ngữ pháp hay biến văn bản chuyên môn thành văn nói.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
47 GitHub stars
Stars/forks activity
WARN48
47 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
18d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add longhang2004/vietnamese-humanizer --skill humanizer-vi
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/longhang2004/vietnamese-humanizer/tree/main/skills/humanizer-vi
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add longhang2004/vietnamese-humanizer --skill humanizer-vi
Repository
88
https://github.com/longhang2004/vietnamese-humanizer/tree/main/skills/humanizer-vi
License
86
MIT
Maintenance
100
18d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
48
47 stars, 10 forks; issue activity unavailable in current metadata
Adoption
42
47 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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