Photo Cinematic Editor
PassAudited by ClawScan on May 7, 2026.
Overview
This skill appears to be a straightforward local photo-editing toolkit, with only minor setup and file-handling caveats to notice.
This skill looks appropriate for local photo editing. Before installing, prefer a Python virtual environment for the required packages, and when running the scripts, provide explicit input and output image paths rather than relying on defaults in the auxiliary scripts.
Findings (2)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Installing the dependencies could change the local Python environment and relies on packages fetched from the package ecosystem.
The setup command installs external Python packages and uses '--break-system-packages', while the registry lists no install spec. The packages are expected for image processing, but the command can modify the user's Python environment.
pip3 install Pillow numpy pillow-heif --break-system-packages
Install in a virtual environment if possible, avoid '--break-system-packages' unless necessary, and verify the package sources before installing.
If this auxiliary script is run without arguments on a system where that path exists, it may process a local image the user did not explicitly choose at that moment.
An auxiliary script has a hardcoded default local media path if run without command-line arguments. It appears to be a leftover example path and only processes a local file, but it is better to avoid implicit file selection.
default_input = "/vol1/@apphome/trim.openclaw/data/home/.openclaw/media/qqbot/downloads/IMG20260503100028_1778138441669.heic"
Invoke the scripts with explicit input and output paths, and consider replacing hardcoded defaults with a usage error like the main photo_editor.py script.