Laporan audit skill
Kubernetes Mlops Laporan audit.
MLOps tutorial using Python, Docker and Kubernetes.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Info62
416 star GitHub
Aktivitas star/fork
Info62
416 star dan 114 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Gagal38
2 tahun sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Info74
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Info80
Cakupan pemasangan paket eksternal
Ketersediaan pemasangan
Lulus92
npx skills add AlexIoannides/kubernetes-mlops
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/AlexIoannides/kubernetes-mlops
Status peninjauan
Lulus88
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add AlexIoannides/kubernetes-mlops
Repositori
88
https://github.com/AlexIoannides/kubernetes-mlops
Lisensi
86
MIT
Pemeliharaan
38
2 tahun sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
84
Usable description available
Risiko dependensi
80
Cakupan pemasangan paket eksternal
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
86
Akses sistem file atau dokumen
Aktivitas star/fork
62
416 star dan 114 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
416 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Repository appears stale
- Financial research output is not financial advice; require human review before any live investment decision
- Repository looks stale
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Recent maintenance: 2y since push
Metode
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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