Laporan audit skill
Ralph Claude Code Laporan audit.
Autonomous AI development loop for Claude Code with intelligent exit detection
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
Lulus94
9.4K star GitHub
Aktivitas star/fork
Lulus88
9.4K star dan 720 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Info74
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Info72
Cakupan eksekusi perintah
Ketersediaan pemasangan
Lulus92
npx skills add frankbria/ralph-claude-code
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info62
shell or command execution, filesystem or document access
Bukti repositori
Lulus86
https://github.com/frankbria/ralph-claude-code
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 frankbria/ralph-claude-code
Repositori
88
https://github.com/frankbria/ralph-claude-code
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
84
Usable description available
Risiko dependensi
72
Cakupan eksekusi perintah
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
62
shell or command execution, filesystem or document access
Aktivitas star/fork
88
9.4K star dan 720 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
9.4K 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.
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.