Laporan audit skill

image-utils Laporan audit.

Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
71
Audit
62
Kepercayaan
61
Kualitas
74
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

62
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

65 star GitHub

Aktivitas star/fork

Peringatan

43

65 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

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 Bria-AI/bria-skill --skill image-utils

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/Bria-AI/bria-skill/tree/main/skills/image-utils

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add Bria-AI/bria-skill --skill image-utils

Repositori

88

Lulus

https://github.com/Bria-AI/bria-skill/tree/main/skills/image-utils

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

Image loading from URLs does not appear to enforce a maximum file size or decompression-bomb limit, which can be risky when processing untrusted images.

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

43

Perbaiki

65 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

65 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Image loading from URLs does not appear to enforce a maximum file size or decompression-bomb limit, which can be risky when processing untrusted images.
  • URL loading also does not restrict schemes or network targets; if exposed to untrusted user input, this could enable SSRF-style access to internal resources.
  • SKILL.md does not explain how the image_utils.py module becomes importable, since the code lives under references/code-examples; agents may not know how to install or reference it.
  • There is no explicit limitations section covering EXIF orientation, ICC color profiles, alpha handling, or recompression artifacts from lossy format conversion.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 65 GitHub stars
  • Stars/forks activity: 65 stars, 6 forks; issue activity unavailable in current metadata
  • 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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