Laporan audit skill
Adversarial Recommender Systems Survey Laporan audit.
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
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
165 star GitHub
Aktivitas star/fork
Peringatan57
165 star dan 32 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Gagal22
5 tahun sejak push
Kejelasan lisensi
Peringatan42
Tidak diketahui
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add sisinflab/adversarial-recommender-systems-survey
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/sisinflab/adversarial-recommender-systems-survey
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 sisinflab/adversarial-recommender-systems-survey
Repositori
88
https://github.com/sisinflab/adversarial-recommender-systems-survey
Lisensi
45
Tidak diketahui
Pemeliharaan
20
5 tahun sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
86
Akses sistem file atau dokumen
Aktivitas star/fork
57
165 star dan 32 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
165 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Lisensi tidak jelas
- 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
- Stars/forks activity: 165 stars, 32 forks; issue activity unavailable in current metadata
- Recent maintenance: 5y since push
- License clarity: Unknown
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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