摄影照片评分/Photo Scorer

给你的照片打分、评价反馈、给出改进建议或美学分析 / Aesthetic photo scorer with detailed analysis

This skill appears to do what it says: local aesthetic scoring using two models and AI-generated text. Before installing, consider the following: - Disk space & dependencies: Models and ML frameworks (PyTorch/TensorFlow) are large — ensure you have enough disk space and the ability to install them. The default model paths are Windows-style (F:\...), so you will likely need to set the AESTHETIC_SCORER_MODEL_DIR and AESTHETIC_SCORER_NIMA_DIR environment variables to point where you store downloaded weights. - Model downloads: README instructs cloning GitHub repos and downloading model weights. Those are normal for ML skills, but verify you download weights from trusted sources (the upstream project repos) and that you understand how to populate the local model cache for transformers/CLIP (the code expects local files only). - Background saving / privacy: SKILL.md says the skill must ALWAYS generate a detailed (~4000-word) evaluation in the background and save it for instant retrieval. The code included returns reports but does not show a storage implementation or location. Decide whether you are comfortable with the skill (or your agent) persisting full evaluations or copies of images on disk — ask where they will be stored, how long they are retained, and whether they are encrypted or accessible by others. - Offline claims: The scripts set transformers to offline and there are no explicit network calls in the code, but installing models initially requires network access. If strict offline operation is required, ensure you provision all model weights and transformers caches before running. - Minor oddities: The predict functions accept a deprecated api_key parameter and the code uses default Windows paths; these are not malicious but indicate the package expects manual configuration. If you want to proceed, verify model files are from trusted sources, update model directory env vars to sensible paths, and ask the skill author or provider where / how detailed evaluations and any cached artifacts will be stored and how to clear them. If you need, I can: (1) point out exactly which files to edit to change the save behavior, (2) suggest filesystem locations and cleanup scripts, or (3) produce a checklist for safe local installation.

Type: OpenClaw Skill Name: photo-scorer Version: 1.4.10 The skill bundle provides local image aesthetic scoring using CLIP and NIMA models, with logic for dynamic weighting and detailed reporting. The Python scripts (score_improved_predictor.py, score_nima.py) use standard ML frameworks and include explicit 'offline' settings to prevent external network calls during model loading. While the instructions in SKILL.md contain hardcoded Windows file paths (e.g., F:\software\...) and request unusually long AI-generated outputs, these appear to be artifacts of the developer's local environment and intended functionality rather than evidence of malicious intent or data exfiltration.