Laporan audit skill
Mlops Project Laporan audit.
prsdm/mlops-project is a high-star GitHub project relevant to AI agent workflows.
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
180 star GitHub
Aktivitas star/fork
Info62
180 star dan 100 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Gagal38
2 tahun sejak push
Kejelasan lisensi
Lulus86
Apache-2.0
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info80
Cakupan pemasangan paket eksternal
Ketersediaan pemasangan
Lulus92
npx skills add prsdm/mlops-project
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/prsdm/mlops-project
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 prsdm/mlops-project
Repositori
88
https://github.com/prsdm/mlops-project
Lisensi
86
Apache-2.0
Pemeliharaan
38
2 tahun sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
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
180 star dan 100 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
180 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.
Bandingkan opsi sekitar
Skill terkait untuk diaudit berikutnya
Mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
36K Star · Laporan audit
Tensorflow
An Open Source Machine Learning Framework for Everyone
196K Star · Laporan audit
Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K Star · Laporan audit