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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Peringatan48
65 star GitHub
Aktivitas star/fork
Peringatan43
65 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Peringatan54
command execution surface, external package install surface
Ketersediaan pemasangan
Lulus92
npx skills add Bria-AI/bria-skill --skill image-utils
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Peringatan48
shell or command execution, filesystem or document access
Bukti repositori
Lulus86
https://github.com/Bria-AI/bria-skill/tree/main/skills/image-utils
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add Bria-AI/bria-skill --skill image-utils
Repositori
88
https://github.com/Bria-AI/bria-skill/tree/main/skills/image-utils
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
55
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
Usable description available
Risiko dependensi
54
command execution surface, external package install surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
48
shell or command execution, filesystem or document access
Aktivitas star/fork
43
65 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
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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