Laporan audit skill
Lamina Laporan audit.
Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.
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
Peringatan48
68 star GitHub
Aktivitas star/fork
Peringatan43
68 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
26 hari 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
Info62
command execution surface, external package install surface
Ketersediaan pemasangan
Lulus92
npx skills add aryaniyaps/lamina
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info76
Eksekusi shell atau perintah
Bukti repositori
Lulus86
https://github.com/aryaniyaps/lamina
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 aryaniyaps/lamina
Repositori
88
https://github.com/aryaniyaps/lamina
Lisensi
86
Apache-2.0
Pemeliharaan
100
26 hari sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
100
Usable description available
Risiko dependensi
62
command execution surface, external package install surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
76
Eksekusi shell atau perintah
Aktivitas star/fork
43
68 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
68 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
- GitHub adoption: 68 GitHub stars
- Stars/forks activity: 68 stars, 3 forks; issue activity unavailable in current metadata
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
Khazix Skills
A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.
20K Star · Laporan audit
Awesome Claude Skills
A curated list of resources and tools for enhancing Claude AI workflows.
66K Star · Laporan audit