Laporan audit skill
Byzer Lang Laporan audit.
Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.
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
Lulus86
1.8K star GitHub
Aktivitas star/fork
Lulus83
1.8K star dan 539 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Gagal22
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
Lulus82
database surface
Ketersediaan pemasangan
Lulus92
npx skills add byzer-org/byzer-lang
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info74
filesystem or document access, database access
Bukti repositori
Lulus86
https://github.com/byzer-org/byzer-lang
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 byzer-org/byzer-lang
Repositori
88
https://github.com/byzer-org/byzer-lang
Lisensi
86
Apache-2.0
Pemeliharaan
20
2 tahun sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
82
database surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
74
filesystem or document access, database access
Aktivitas star/fork
83
1.8K star dan 539 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
1.8K 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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