Laporan audit skill
Plip Laporan audit.
Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 馃摑 Schake, Bolz, et al. (2025), https://doi.org/10.1093/nar/gkaf361
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
689 star GitHub
Aktivitas star/fork
Info71
689 star dan 139 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Info62
10 bulan sejak push
Kejelasan lisensi
Lulus86
GPL-2.0
Kelengkapan README/SKILL.md
Lulus90
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info80
Cakupan pemasangan paket eksternal
Ketersediaan pemasangan
Lulus92
npx skills add pharmai/plip
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/pharmai/plip
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 pharmai/plip
Repositori
88
https://github.com/pharmai/plip
Lisensi
86
GPL-2.0
Pemeliharaan
62
10 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
90
Usable description available
Risiko dependensi
80
Cakupan pemasangan paket eksternal
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
86
Akses sistem file atau dokumen
Aktivitas star/fork
71
689 star dan 139 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
689 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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