GITHUB AGENT SKILLS / 技能收录
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@garrytan全部 Skills 196578
performing-phishing-simulation-with-gophish
Deploy and run authorized phishing awareness campaigns with GoPhish, covering admin panel setup, SMTP sending profiles, email template and landing page creation, target user groups, and campaign reporting to measure click and credential-submission rates. Use when planning or executing a phishing simulation for employee security-awareness testing or measuring susceptibility to social engineering.
performing-paste-site-monitoring-for-credentials
Monitor paste sites like Pastebin and GitHub Gists for leaked credentials, API keys, and sensitive data dumps using automated scraping and keyword matching to detect breaches early.
performing-packet-injection-attack
Crafts and injects custom network packets using Scapy, hping3, and Nemesis during authorized security assessments to test firewall rules, IDS detection, protocol handling, and network stack resilience against malformed and spoofed traffic.
performing-ot-vulnerability-scanning-safely
Perform vulnerability scanning in OT/ICS environments safely using passive monitoring, native protocol queries, and carefully controlled active scanning with Tenable OT Security to identify vulnerabilities without disrupting industrial processes or crashing legacy controllers.
performing-ot-vulnerability-assessment-with-claroty
Perform OT vulnerability assessments using the Claroty xDome platform for asset discovery, risk scoring, and vulnerability correlation, combining passive traffic-based identification and active safe device querying with CVE/ICS-CERT advisory correlation for remediation prioritization. Use for scheduled IEC 62443 or NERC CIP OT vulnerability assessments, initial xDome deployment, or generating CIP-010-4 compliance evidence; not for active PLC scanning or penetration testing.
performing-ot-network-security-assessment
This skill covers conducting comprehensive security assessments of Operational Technology (OT) networks including SCADA systems, DCS architectures, and industrial control system communication paths. It addresses the Purdue Reference Model layers, identifies IT/OT convergence risks, evaluates firewall rules between zones, and maps industrial protocol traffic (Modbus, DNP3, OPC UA, EtherNet/IP) to detect misconfigurations, unauthorized connections, and attack surfaces in critical infrastructure.
performing-osint-with-spiderfoot
Automate OSINT collection with the SpiderFoot REST API and CLI (sf.py/spiderfoot-cli) across 200+ modules, selecting scan modes (footprint, investigate, passive) and parsing results for domains, IPs, emails, leaked credentials, and DNS records into a target intelligence profile. Use when mapping an organization's attack surface or profiling a target for threat intelligence.
performing-open-source-intelligence-gathering
Open Source Intelligence (OSINT) gathering is the first active phase of a red team engagement, where operators collect publicly available information about the target organization to identify attack s
performing-oil-gas-cybersecurity-assessment
Conduct cybersecurity assessments of upstream, midstream, and downstream oil and gas operations, covering pipeline SCADA, refinery DCS, safety instrumented systems, and remote wellhead RTUs, and evaluate compliance with API 1164, TSA Pipeline Security Directives, and IEC 62443. Use when assessing a refinery, pipeline, or production facility or preparing for TSA/API compliance audits; not for IT-only or purely physical-security assessments.
performing-oauth-scope-minimization-review
Performs OAuth 2.0 scope minimization review to identify over-permissioned third-party application integrations, excessive API scopes, unused token grants, and risky OAuth consent patterns across identity providers and SaaS platforms. Activates for requests involving OAuth scope audit, API permission review, third-party app risk assessment, or consent grant minimization.
performing-nist-csf-maturity-assessment
Conduct a NIST Cybersecurity Framework (CSF) 2.0 maturity assessment across the six core Functions (Govern, Identify, Protect, Detect, Respond, Recover), scoring organizational posture against the four Implementation Tiers (Partial, Risk-Informed, Repeatable, Adaptive) and producing an improvement roadmap. Use when benchmarking an organization's cybersecurity program maturity or preparing a CSF-based gap analysis and remediation plan.
performing-network-traffic-analysis-with-zeek
Deploy Zeek (formerly Bro) as a passive network security monitor to generate structured logs of protocol metadata (HTTP, DNS, TLS, SSH, SMTP, FTP, and more), write custom detection scripts, and integrate outputs with SIEM platforms. Use when standing up continuous, high-fidelity network traffic monitoring for threat detection, anomaly identification, or forensic investigation beyond what raw PCAP analysis provides.
performing-network-traffic-analysis-with-tshark
Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive inspection.
performing-network-packet-capture-analysis
Perform forensic analysis of network packet captures (PCAP/PCAPNG) using Wireshark, tshark, and tcpdump to reconstruct network communications, extract transferred files, identify malicious traffic, and establish evidence of data exfiltration or command-and-control activity. Use when a PCAP file from an incident needs to be examined to prove lateral movement, malware delivery, or unauthorized access.
performing-network-forensics-with-wireshark
Capture and analyze network traffic using Wireshark and tshark to reconstruct network events from PCAP/PCAPNG files, extract transferred files and credentials, and identify command-and-control communications. Use when analyzing captured traffic from a security incident, reconstructing data exfiltration, or finding network indicators of compromise during malware analysis.
performing-mobile-device-forensics-with-cellebrite
Acquire and analyze mobile device data using Cellebrite UFED Touch/4PC, UFED Physical Analyzer, and open-source alternatives (ALEAPP, iLEAPP, MEAT, libimobiledevice) to extract communications, call logs, location data, and application artifacts. Use when extracting or recovering deleted evidence from smartphones or tablets during criminal, corporate, or employee-misuse investigations.
performing-mobile-app-certificate-pinning-bypass
Bypasses SSL/TLS certificate pinning implementations in Android and iOS applications to enable traffic interception during authorized security assessments. Covers OkHttp, TrustManager, NSURLSession, and third-party pinning library bypass techniques using Frida, Objection, and custom scripts. Activates for requests involving certificate pinning bypass, SSL pinning defeat, mobile TLS interception, or proxy-resistant app testing.
performing-memory-forensics-with-volatility3
Analyze volatile memory (RAM) dumps using the Volatility 3 framework to extract running processes, network connections, loaded modules, credentials, and encryption keys, and to detect process hollowing, DLL injection, or hidden processes/rootkits. Use during incident response on a compromised or suspect system when disk-based forensics alone is insufficient and volatile evidence of malware or intrusion must be recovered from memory.