Analyze local image files with ImageHash and OpenCV to detect near-duplicate photos and blurry shots, then preview or remove them. Use when Codex needs to clean a photo folder, deduplicate similar images, identify blur, or safely delete/move bad images after reviewing a report.
- Stars
- 11
- Version
- v1
- Copies
- 0
Overview
Waxell's checks found 2 findings to review, highest severity high.
- Highest severity
- high
- Findings
- 2
- What ran
- Static analysis
A clean result means nothing alarming in what is published, not a guarantee. How the checks work
We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.
Security
Security scan
Checked 2 days ago
Result
Review findings Waxell's checks found 2 findings to review, highest severity high.
Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work
Findings (2)
high · 2
- high
Tells Claude to install unpinned packages (Pillow, ImageHash, numpy, opencv-python-headless)
SKILL.md:24 · skill_risk:S2
- high
Tells Claude to install unpinned packages (Pillow, ImageHash, numpy, opencv-python-headless)
scripts/remove_similar_images.py:41 · skill_risk:S2
Versions
Version history
Each distinct content we have seen, newest first, with the verdict it got at the time.
One version so far: v1, seen 2026-11-03.
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SOC 2 Type II attested · ISO/IEC 27001:2022 certified · HIPAA with a BAA · aligned to the EU AI Act and NIST AI RMF
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