Laporan audit skill
Agentfield Laporan audit.
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.
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
2.5K star GitHub
Aktivitas star/fork
Lulus83
2.5K star dan 411 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
Apache-2.0
Kelengkapan README/SKILL.md
Lulus100
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Gagal36
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add Agent-Field/agentfield
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal18
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/Agent-Field/agentfield/tree/main/control-plane/internal/skillkit/skill_data/agentfield
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 Agent-Field/agentfield
Repositori
88
https://github.com/Agent-Field/agentfield/tree/main/control-plane/internal/skillkit/skill_data/agentfield
Lisensi
86
Apache-2.0
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
100
Usable description available
Risiko dependensi
36
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
18
secrets or environment access, shell or command execution
Aktivitas star/fork
83
2.5K star dan 411 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
2.5K star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- 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.
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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
Awesome Llm Apps
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
114K Star · Laporan audit
Hello Agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
59K Star · Laporan audit
Llm App
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
59K Star · Laporan audit