Laporan audit skill
robosuite/fix-loop/SKILL Laporan audit.
Master reference for ASPIRE Robosuite experiments. Covers system overview, 7 tasks, setup, running experiments, debugging, full API reference, and all pipeline modes (Fix Loop, Baseline).
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
128 star GitHub
Aktivitas star/fork
Peringatan51
128 star dan 7 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
Info76
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Lulus82
network or browser surface
Ketersediaan pemasangan
Lulus92
npx skills add NVlabs/ASPIRE --skill robosuite/fix-loop/SKILL
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
network or browser access
Bukti repositori
Lulus86
https://github.com/NVlabs/ASPIRE/tree/main/aspire/sim/.claude/libero/fix-loop
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 NVlabs/ASPIRE --skill robosuite/fix-loop/SKILL
Repositori
88
https://github.com/NVlabs/ASPIRE/tree/main/aspire/sim/.claude/libero/fix-loop
Lisensi
86
Apache-2.0
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
84
Usable description available
Risiko dependensi
82
network or browser surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
86
network or browser access
Aktivitas star/fork
51
128 star dan 7 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
128 star GitHub
Peringatan
- Quality score needs review
- Stars/forks activity: 128 stars, 7 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.
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