Laporan audit skill
time-series-analysis Laporan audit.
Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models for planning.
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
442 star GitHub
Aktivitas star/fork
Info62
442 star dan 80 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
21 hari sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Info76
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add nimrodfisher/data-analytics-skills --skill time-series-analysis
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/time-series-analysis
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add nimrodfisher/data-analytics-skills --skill time-series-analysis
Repositori
88
https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/time-series-analysis
Lisensi
86
MIT
Pemeliharaan
100
21 hari sejak push
Tinjauan AI
55
The script's anomaly detection uses mean and standard deviation, not the rolling median as described in SKILL.md.
Kelengkapan README/SKILL.md
84
Usable description available
Risiko dependensi
90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
86
Akses sistem file atau dokumen
Aktivitas star/fork
62
442 star dan 80 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
442 star GitHub
Peringatan
- The script's anomaly detection uses mean and standard deviation, not the rolling median as described in SKILL.md.
- The script does not implement decomposition or ARIMA forecasting, which are core steps in the process.
- The script lacks a --detect-anomalies flag; it always detects anomalies, contrary to the documented usage.
- 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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