Data & Analytics

This skill enables prediction in the domain of anomaly-detection (data-science). It represents research-level-level expertise and is designed for production use in research, industry, and educational contexts.

This skill enables measurement in the domain of anomaly-detection (data-science). It represents advanced-level expertise and is designed for production use in research, industry, and educational contexts.

Search arXiv papers by keyword, author, category, or ID. 触发方式：Hermes 路由名 `research/arxiv`、通用 slash command `/skill research/arxiv`

'Map advanced persistent threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework

Detect and extract hidden data embedded in images, audio, and other media files using steganalysis tools to uncover

'Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to

Apply bottom-up and top-down role mining techniques to discover optimal RBAC roles from existing user-permission

'Captures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns,

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score

Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection,

'Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies,

Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT

'Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify

Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing

'Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the

Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis,

'Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning

'This skill covers deploying anomaly detection systems for industrial control environments using machine learning

Use when executing a pre-registered analysis plan with mostly independent steps in the current session

You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched

Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model

Fetch financial and market data using the yfinance Python library. Use this skill whenever the user asks for stock prices, historical data, financial statements, options chains, dividends, earnings, analyst recommendations, or any market data. Triggers include: any mention of stock price, ticker symbol (AAPL, MSFT, TSLA, etc.), "get me the financials", "show earnings", "what's the price of", "download stock data", "options chain", "dividend history", "balance sheet", "income statement", "cash...

Analyze stock liquidity using bid-ask spreads, volume profiles, order book depth, market impact estimates, and turnover ratios via Yahoo Finance data. Use this skill whenever the user asks about liquidity, trading costs, bid-ask spread, market depth, volume analysis, slippage, market impact, turnover ratio, or how easy/hard it is to trade a stock without moving the price. Triggers: "how liquid is AAPL", "bid-ask spread", "volume analysis", "order book depth", "market impact of a large order",...

Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for AAPL", "analyst estimate trends for NVDA", "EPS revisions for TSLA", "how have estimates changed for MSFT", "estimate revisions", "EPS trend", "revenue estimates", "consensus chan...