Laporan audit skill
Stanford Cs 229 Machine Learning Laporan audit.
VIP cheatsheets for Stanford's CS 229 Machine Learning
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
Lulus100
20K star GitHub
Aktivitas star/fork
Lulus97
20K star dan 4.2K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Gagal22
6 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
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add afshinea/stanford-cs-229-machine-learning
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/afshinea/stanford-cs-229-machine-learning
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 afshinea/stanford-cs-229-machine-learning
Repositori
88
https://github.com/afshinea/stanford-cs-229-machine-learning
Lisensi
86
MIT
Pemeliharaan
20
6 tahun sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
84
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
97
20K star dan 4.2K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
20K 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.
- Recent maintenance: 6y 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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