Laporan audit skill
token-budget-tracking Laporan audit.
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
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
471 star GitHub
Aktivitas star/fork
Info62
471 star dan 62 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info72
Akses kredensial atau variabel lingkungan
Ketersediaan pemasangan
Lulus92
npx skills add cosmicstack-labs/mercury-agent-skills --skill token-budget-tracking
Keamanan perintah pemasangan
Info68
credential-bearing install command, standard package or runtime install path
Cakupan izin
Info74
secrets or environment access
Bukti repositori
Lulus86
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/token-budget-tracking
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 cosmicstack-labs/mercury-agent-skills --skill token-budget-tracking
Repositori
88
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/token-budget-tracking
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
88
Approved with no listed issues
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
72
Akses kredensial atau variabel lingkungan
Keamanan perintah pemasangan
68
credential-bearing install command, standard package or runtime install path
Cakupan izin
74
secrets or environment access
Aktivitas star/fork
62
471 star dan 62 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
471 star GitHub
Peringatan
- 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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