Laporan audit skill
Contoso Chat Laporan audit.
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
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
Info76
762 star GitHub
Aktivitas star/fork
Lulus82
762 star dan 4.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Info62
11 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info72
Cakupan eksekusi perintah
Ketersediaan pemasangan
Lulus92
npx skills add Azure-Samples/contoso-chat
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info62
shell or command execution, filesystem or document access
Bukti repositori
Lulus86
https://github.com/Azure-Samples/contoso-chat
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 Azure-Samples/contoso-chat
Repositori
88
https://github.com/Azure-Samples/contoso-chat
Lisensi
86
MIT
Pemeliharaan
62
11 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
72
Cakupan eksekusi perintah
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
62
shell or command execution, filesystem or document access
Aktivitas star/fork
82
762 star dan 4.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
762 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
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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