Skill audit report

image-utils Audit report.

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.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 4, 2026Heuristic metadata audit
71
Audit
62
Trust
61
Quality
74
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

62
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

65 GitHub stars

Stars/forks activity

WARN

43

65 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

54

command execution surface, external package install surface

Install availability

PASS

92

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

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

shell or command execution, filesystem or document access

Repository evidence

PASS

86

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

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 16 Needs review

Install path

92

PASS

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

Repository

88

PASS

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

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

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.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

54

FIX

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

shell or command execution, filesystem or document access

Stars/forks activity

43

FIX

65 stars, 6 forks; issue activity unavailable in current metadata

Adoption

68

INFO

65 GitHub stars

Warnings

  • 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

Method

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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