Star200+

Laporan audit skill

Data Science Ipython Notebooks Laporan audit.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Eksperimental 路 TinjauPerlu ditinjauDihasilkan 22 Agu 2026Audit metadata heuristik
73
Audit
80
Kepercayaan
81
Kualitas
80
Keamanan
20
Maintain
92
Pasang

Trust Score OpenAgentSkill

80
Shortlist kuat

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Lulus

100

29K star GitHub

Aktivitas star/fork

Lulus

100

29K star dan 8.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Gagal

22

2 tahun sejak push

Kejelasan lisensi

Peringatan

42

Tidak diketahui

Kelengkapan README/SKILL.md

Lulus

90

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add donnemartin/data-science-ipython-notebooks

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

62

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/donnemartin/data-science-ipython-notebooks

Status peninjauan

Lulus

88

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus 路 11 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add donnemartin/data-science-ipython-notebooks

Repositori

88

Lulus

https://github.com/donnemartin/data-science-ipython-notebooks

Lisensi

45

Periksa

Tidak diketahui

Pemeliharaan

20

Perbaiki

2 tahun sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

Kelengkapan README/SKILL.md

90

Lulus

Usable description available

Risiko dependensi

90

Lulus

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

62

Periksa

shell or command execution, filesystem or document access

Aktivitas star/fork

100

Lulus

29K star dan 8.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

29K star GitHub

Financial decision safety

58

Periksa

Research-only use: do not treat output as financial advice or execute a position without human approval.

Peringatan

  • Lisensi tidak jelas
  • Repository appears stale
  • Financial research output is not financial advice; require human review before any live investment decision
  • Repository looks stale
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Recent maintenance: 2y since push
  • License clarity: Unknown

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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