Laporan audit skill

deepchem Laporan audit.

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.

Eksperimental · TinjauPerlu ditinjauDihasilkan 11 Okt 2026Audit metadata heuristik
83
Audit
77
Kepercayaan
90
Kualitas
75
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

77
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

44K star GitHub

Aktivitas star/fork

Lulus

97

44K star dan 4.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT license

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

54

command execution surface, external package install surface

Ketersediaan pemasangan

Lulus

92

npx skills add K-Dense-AI/scientific-agent-skills --skill deepchem

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

48

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/deepchem

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 12 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add K-Dense-AI/scientific-agent-skills --skill deepchem

Repositori

88

Lulus

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/deepchem

Lisensi

86

Lulus

MIT license

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

No critical security issues detected. The skill only uses standard file operations and Bash for running Python scripts, with no indication of malicious behavior.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

54

Perbaiki

command execution surface, external package install surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

48

Perbaiki

shell or command execution, filesystem or document access

Aktivitas star/fork

97

Lulus

44K star dan 4.0K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

44K 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

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • No critical security issues detected. The skill only uses standard file operations and Bash for running Python scripts, with no indication of malicious behavior.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Dependency/runtime risk: command execution surface, external package install surface
  • Permission surface: shell or command execution, filesystem or document access

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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