Laporan audit skill
Openlumara Laporan audit.
AI agent framework, written from scratch (not based on openclaw), focused on stripping it down to the bare necessities, optimizing token count, reducing security risks. modular so you can enable only exactly what you need.
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
279 star GitHub
Aktivitas star/fork
Peringatan57
279 star dan 27 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Info76
4 bulan sejak push
Kejelasan lisensi
Lulus86
GPL-3.0
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info72
Akses kredensial atau variabel lingkungan
Ketersediaan pemasangan
Lulus92
npx skills add Rose22/openlumara
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Peringatan60
secrets or environment access, filesystem or document access
Bukti repositori
Lulus86
https://github.com/Rose22/openlumara
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 Rose22/openlumara
Repositori
88
https://github.com/Rose22/openlumara
Lisensi
86
GPL-3.0
Pemeliharaan
76
4 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
72
Akses kredensial atau variabel lingkungan
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
60
secrets or environment access, filesystem or document access
Aktivitas star/fork
57
279 star dan 27 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
279 star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- 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.
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- Stars/forks activity: 279 stars, 27 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, filesystem or document access
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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