Laporan audit skill
Fredapi Laporan audit.
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)
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
Lulus86
1.6K star GitHub
Aktivitas star/fork
Info77
1.6K star dan 237 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Info62
7 bulan sejak push
Kejelasan lisensi
Lulus86
Apache-2.0
Kelengkapan README/SKILL.md
Info74
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Lulus82
network or browser surface
Ketersediaan pemasangan
Lulus92
npx skills add mortada/fredapi
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Info72
filesystem or document access, network or browser access
Bukti repositori
Lulus86
https://github.com/mortada/fredapi
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 mortada/fredapi
Repositori
88
https://github.com/mortada/fredapi
Lisensi
86
Apache-2.0
Pemeliharaan
62
7 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
72
filesystem or document access, network or browser access
Aktivitas star/fork
77
1.6K star dan 237 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
1.6K 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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