Laporan audit skill
ml4t-regime-features Laporan audit.
Features capturing market regime - volatility state, trend strength, and liquidity conditions. Use when building regime-aware models or conditioning on changing market environments.
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
Gagal30
20 star GitHub
Aktivitas star/fork
Gagal37
20 star dan 11 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
15 hari 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
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add ml4t/skills --skill ml4t-regime-features
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Bukti repositori
Lulus86
https://github.com/ml4t/skills/tree/main/features/regime-features
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 ml4t/skills --skill ml4t-regime-features
Repositori
88
https://github.com/ml4t/skills/tree/main/features/regime-features
Lisensi
86
Apache-2.0
Pemeliharaan
100
15 hari sejak push
Tinjauan AI
55
No explicit input/output schema is defined in SKILL.md; the expected columns and data formats are only implied by code examples.
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
100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Aktivitas star/fork
37
20 star dan 11 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
20 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
- No explicit input/output schema is defined in SKILL.md; the expected columns and data formats are only implied by code examples.
- The skill references the external `ml4t-engineer` library without setup or installation instructions, so the production implementation is not directly runnable.
- Rolling windows create leading nulls, but the skill does not explain how to handle warm-up periods or incomplete rolling statistics.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- GitHub adoption: 20 GitHub stars
- Stars/forks activity: 20 stars, 11 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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