An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Skill ディレクトリ
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検索結果: detecting-anomalous-activities
英語版ディレクトリAn open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. Ideal for scanning components before use or detecting feature level changes.
🕷 CrawlerDetect is a PHP class for detecting bots/crawlers/spiders via the user agent
Harden-Runner is a CI/CD security agent that works like an EDR for GitHub Actions runners. It monitors network egress, file integrity, and process activity on those runners, detecting threats in real-time.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
✨ GitHub Action for detecting and auto-fixing lint errors
This package is designed to bypass puppeteer's bot-detecting captchas such as Cloudflare. It acts like a real browser and can be managed with puppeteer.
Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications