Skill UI

A comprehensive security analysis tool for cryptocurrency wallets. It meticulously scans ERC20 token approvals, analyzes transaction patterns, and calculates a weighted security risk score (0-100). Use this skill to assess your wallet's overall security posture, identify risky approvals, and receive actionable recommendations to mitigate potential vulnerabilities.

A comprehensive security analysis tool for cryptocurrency wallets. It meticulously scans ERC20 token approvals, analyzes transaction patterns, and calculates a weighted security risk score (0-100). Use this skill to assess your wallet's overall security posture, identify risky approvals, and receive actionable recommendations to mitigate potential vulnerabilities.

This powerful tool calculates detailed cryptocurrency tax obligations by processing transaction history from multiple exchanges. It supports various cost basis methods (FIFO, LIFO, HIFO) to accurately determine capital gains and losses. Key features include identifying staking, airdrop, and mining income, and generating comprehensive reports compatible with Form 8949, simplifying complex tax filing processes.

Placeholder skill entry for risk modeling workflows that outlines basic analytics and scenario planning used to quantify potential losses and guide mitigation decisions.

This tool parses API Gateway access logs from various providers (AWS, Kong, Nginx). It performs statistical analysis using pandas to detect critical security threats such as Broken Object Level Authorization (BOLA/IDOR), credential stuffing, rate limit bypass attempts, and injection vulnerabilities. Ideal for SOC analysts or security engineers investigating API abuse and building advanced threat detection rules.

Hindsight is an open-source digital forensics tool designed to parse and correlate artifacts from Chromium-based browsers (Chrome, Edge, Brave, Opera). It extracts comprehensive data, including browsing history, cookies, download records, autofill data, and saved passwords, generating unified, chronological timelines essential for incident response, insider threat investigation, and digital forensics cases.

Detects abnormal access patterns across major cloud storage platforms, including AWS S3, GCS, and Azure Blob Storage. By analyzing cloud audit logs (CloudTrail, etc.), this tool identifies critical security threats such as after-hours bulk data downloads, sudden spikes in API calls (GetObject spikes), access from new geographic IPs, and potential data exfiltration. It utilizes statistical baselines and time-series anomaly detection for proactive threat hunting and security incident investigation.

This skill provides a systematic methodology for mapping real-world threat actor Tactics, Techniques, and Procedures (TTPs) to the globally recognized MITRE ATT&CK framework. Users learn how to leverage tools like ATT&CK Navigator and Python libraries (e.g., attackcti, stix2) to analyze security incidents, visualize technical coverage heatmaps, identify critical detection gaps, and generate actionable intelligence reports linking observed Indicators of Compromise (IOCs) to specific adversary techniques across various platforms (Enterprise, Mobile, ICS).

This tool helps security analysts map Advanced Persistent Threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework. By utilizing the ATT&CK Navigator and the attackcti Python library, users can query STIX/TAXII data to visualize threat profiles, assess detection coverage gaps, and guide defensive planning for complex cyber incidents.

A specialized tool for digital forensics investigators that parses the Windows Amcache.hve registry hive. It extracts crucial evidence regarding program execution history, application installation metadata, and loaded driver binaries. By correlating SHA-1 hashes and reconstructing timelines, users can determine which executables ran on a system, aiding in incident response and threat detection.

This skill provides a method to parse Windows Prefetch files (.pf) using Python, allowing security analysts to reconstruct detailed application execution histories. It is crucial for incident response, enabling the detection of renamed binaries, identifying suspicious execution patterns, and building accurate chronological timelines of system activity for deep forensic investigation.

Timesketch is a collaborative, open-source platform for security teams to analyze and reconstruct complex forensic timelines. It ingests and normalizes multi-source security data (logs, artifacts) using methods like Plaso, CSV, and JSONL. Users can visualize event chronology, track attack chains, and utilize advanced built-in analyzers (e.g., Sigma, Chain of Events) for comprehensive incident investigation and documentation.