Laporan audit skill

skypilot-multi-cloud-orchestration Laporan audit.

Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
76
Audit
66
Kepercayaan
79
Kualitas
71
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

66
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Lulus

86

1.4K star GitHub

Aktivitas star/fork

Info

77

1.4K star dan 97 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

94

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Gagal

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add OpenRaiser/NanoResearch --skill skypilot-multi-cloud-orchestration

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

22

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/skypilot

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add OpenRaiser/NanoResearch --skill skypilot-multi-cloud-orchestration

Repositori

88

Lulus

https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/skypilot

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

No critical security issues found in the provided skill content.

Kelengkapan README/SKILL.md

94

Lulus

Usable description available

Risiko dependensi

36

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

22

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

77

Periksa

1.4K star dan 97 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

1.4K 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 found in the provided skill content.
  • SKILL.md is documentation-style and does not include executable code that runs automatically, reducing hidden execution risk.
  • Cloud orchestration commands can incur costs or terminate infrastructure; operational guardrails should be explicit.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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