Laporan audit skill

dpnp-linalg-fft Laporan audit.

Linear algebra and FFT with dpnp on Intel CPUs and GPUs, backed by oneMKL. Use when a matrix multiply, solve, decomposition, eigenvalue problem, or Fourier transform is the hot part of NumPy code, when the user asks whether dpnp covers a linalg or FFT call, when an FFT result differs slightly from NumPy's, or when a large transform runs out of device memory. Covers the supported surface, transform sizing and plan reuse, fallbacks for what is missing, and how to check conditioning before solving.

Eksperimental · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
75
Audit
73
Kepercayaan
55
Kualitas
78
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

73
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Gagal

30

21 star GitHub

Aktivitas star/fork

Gagal

32

21 star dan 9 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

14 hari sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Lulus

82

network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add intel/skills --skill dpnp-linalg-fft

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

72

filesystem or document access, network or browser access

Bukti repositori

Lulus

86

https://github.com/intel/skills/tree/main/skills/dpnp-linalg-fft

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 10 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add intel/skills --skill dpnp-linalg-fft

Repositori

88

Lulus

https://github.com/intel/skills/tree/main/skills/dpnp-linalg-fft

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

100

Lulus

14 hari sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

82

Lulus

network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

72

Periksa

filesystem or document access, network or browser access

Aktivitas star/fork

32

Perbaiki

21 star dan 9 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

21 star GitHub

Peringatan

  • Low GitHub adoption signal
  • Persetujuan tinjauan AI belum ada
  • Quality score needs review
  • GitHub adoption: 21 GitHub stars
  • Stars/forks activity: 21 stars, 9 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing

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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