100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill's code and instructions are coherent with its stated purpose: it collects, aggregates, formats, and analyzes user feedback for creating fine-tuning datasets and A/B testing locally and does ...

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VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

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        "changelog": "Initial release of Feedback Loop Fine-Tuner.\n\n- Introduces tools for collecting and aggregating user feedback to improve LLM agents.\n- Supports generation of fine-tuning datasets from feedback history in multiple formats.\n- Enables prompt optimization using feedback data and analysis.\n- Provides improvement tracking and reporting functionality over time.\n- Adds A\/B testing for prompt template variants with experiment management.\n- Includes modular classes: FeedbackCollector, TrainingDatasetGenerator, PromptOptimizer, ImprovementTracker, and ABTester.",
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        "version": "1.0.0"
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        "summary": "Provides tools for implementing feedback loops to fine-tune LLM agents using user feedback for continuous personalization and improvement, including training...",
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