Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

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.

9.8K
Stars
86/100
信頼
カテゴリ: legal-compliance監査

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.

9.4K
Stars
86/100
信頼
カテゴリ: legal-compliance監査

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.

4.4K
Stars
85/100
信頼
カテゴリ: development監査

🕷 CrawlerDetect is a PHP class for detecting bots/crawlers/spiders via the user agent

2.4K
Stars
85/100
信頼
カテゴリ: web-automation監査

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.

1.2K
Stars
80/100
信頼
カテゴリ: github-automation監査

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.

34K
Stars
80/100
信頼
カテゴリ: research監査

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.

25K
Stars
77/100
信頼
カテゴリ: design-creative監査

✨ GitHub Action for detecting and auto-fixing lint errors

609
Stars
71/100
信頼
カテゴリ: github-automation監査

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.

1.6K
Stars
74/100
信頼
カテゴリ: browser-automation監査

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.

448
Stars
72/100
信頼
カテゴリ: development監査

Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

617
Stars
70/100
信頼
カテゴリ: devops監査
Pyt71

A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications

2.2K
Stars
71/100
信頼
カテゴリ: development監査