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Photo Cinematic Editor

Name: Photo Cinematic Editor
Author: akira362680164

作者 Akira362680164 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install photo-cinematic

功能描述

Professional photo processing and cinematic color grading powered by Pillow + NumPy. Use when a user asks to: (1) Edit, enhance, or retouch photos, (2) Apply...

使用说明 (SKILL.md)

Photo Cinematic Editor

Cinematic photo processing toolkit with Pillow + NumPy. Supports HEIC/JPEG/PNG input.

Quick Start

# All-in-one cinematic processing (dehaze → grade → light → sharpen)
python3 scripts/photo_editor.py input.jpg output.jpg

# Custom pipeline
python3 scripts/photo_editor.py input.jpg output.jpg dehaze grade saturation=1.3 light sharpen

Effects Reference

Effect	Params	Description
`dehaze`	strength=1.0	Local contrast dehazing + clarity
`grade`	strength=1.0	Cinematic S-curve + teal/orange split tone + glow + vignette
`saturation`	saturation=1.0	Simple saturation multiplier
`vibrance`	vibrance=1.0	Smart saturation (boosts muted colors more)
`levels`	shadows=0 midtones=1.0 highlights=255	Photoshop-style levels adjustment
`light`	strength=1.0	Warm light streaks + highlight boost
`sharpen`	strength=1.0	Unsharp mask sharpening
`blur`	strength=1.0	Gaussian blur (radius in pixels)

All params accept strength=N to control intensity.

Usage Examples

# Dehaze only
python3 scripts/photo_editor.py photo.jpg out.jpg dehaze

# Cinematic from scratch
python3 scripts/photo_editor.py photo.jpg out.jpg grade

# Vibrant cinematic
python3 scripts/photo_editor.py photo.jpg out.jpg dehaze grade saturation=1.2 light sharpen

# Soft natural look
python3 scripts/photo_editor.py photo.jpg out.jpg dehaze grade vibrance=0.85 light=0.6 sharpen

# Manual levels adjustment
python3 scripts/photo_editor.py photo.jpg out.jpg levels shadows=15 midtones=1.1 highlights=240 sharpen

Requirements

pip3 install Pillow numpy pillow-heif --break-system-packages

Scripts

scripts/photo_editor.py — Main editor with pipeline processing
scripts/cinematic_grade.py — V1 classic cinematic grading
scripts/cinematic_v2.py — V2 with dehaze + light texture

References

See references/photo-editing-guide.md for technique explanations and advanced workflows.

安全使用建议

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.

功能分析

Type: OpenClaw Skill Name: photo-cinematic Version: 1.0.0 The skill bundle provides a comprehensive toolkit for cinematic photo processing using Pillow and NumPy. The scripts (photo_editor.py, cinematic_grade.py, cinematic_v2.py) implement standard image processing algorithms such as S-curve contrast, teal/orange split toning, local contrast dehazing, and light texture overlays. The code is well-documented, lacks any network or sensitive file access, and contains no evidence of malicious intent or prompt injection. Hardcoded file paths in the script entry points appear to be environment-specific defaults for testing within the OpenClaw ecosystem.

能力评估

✓ Purpose & Capability

The scripts and documentation consistently match the stated purpose of local photo enhancement, dehazing, color grading, saturation, lighting, sharpening, and HEIC/JPEG/PNG handling.

ℹ Instruction Scope

The skill gives command-line usage examples for local image processing. Auxiliary scripts include hardcoded default input/output paths if run without arguments, so users should provide explicit paths.

ℹ Install Mechanism

There is no install spec, but SKILL.md instructs users to install Pillow, NumPy, and pillow-heif via pip, including the '--break-system-packages' flag. This is purpose-aligned but can affect the local Python environment.

ℹ Credentials

The skill reads and writes local image files, which is expected for a photo editor. The reviewed code does not show network access, credential use, exfiltration, deletion, or background behavior.

✓ Persistence & Privilege

No persistence mechanism, credential access, background worker, privilege escalation, or long-running autonomous behavior is shown in the artifacts.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install photo-cinematic
安装完成后，直接呼叫该 Skill 的名称或使用 /photo-cinematic 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release: cinematic color grading, dehaze, saturation/vibrance/levels adjustment, light texture effects, HEIC support

元数据

Slug photo-cinematic

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题