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.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
65 GitHub stars
Stars/forks activity
WARN43
65 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, external package install surface
Install availability
PASS92
npx skills add Bria-AI/bria-skill --skill image-utils
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/Bria-AI/bria-skill/tree/main/skills/image-utils
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add Bria-AI/bria-skill --skill image-utils
Repository
88
https://github.com/Bria-AI/bria-skill/tree/main/skills/image-utils
License
86
MIT
Maintenance
88
2mo since push
AI review
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.
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
43
65 stars, 6 forks; issue activity unavailable in current metadata
Adoption
68
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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