Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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detecting-shadow-api-endpoints
Discover and inventory shadow API endpoints that operate outside documented specifications using traffic analysis, code scanning, and API discovery platforms.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-siem-use-case-tuning
Tune SIEM detection rules to reduce false positives by analyzing alert volumes, creating whitelists, adjusting thresholds, and measuring detection efficacy metrics in Splunk and Elastic
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-network-scanning-with-ids-signatures
Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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hunting-for-lolbins-execution-in-endpoint-logs
Hunt for adversary abuse of Living Off the Land Binaries (LOLBins) by analyzing endpoint process creation logs for suspicious execution patterns of legitimate Windows system binaries used for malicious purposes.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-threat-modeling-with-owasp-threat-dragon
Use OWASP Threat Dragon to create data flow diagrams, identify threats using STRIDE and LINDDUN methodologies, and generate threat model reports for secure design review.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-privilege-escalation-on-linux
Linux privilege escalation involves elevating from a low-privilege user account to root access on a compromised system. Red teams exploit misconfigurations, vulnerable services, kernel exploits, and w
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-bluetooth-low-energy-attacks
Detects and analyzes Bluetooth Low Energy (BLE) security attacks including sniffing, replay attacks, GATT enumeration abuse, and Man-in-the-Middle interception. Uses Ubertooth One and nRF52840 sniffers for packet capture, the bleak Python library for GATT service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-network-flow-data-with-netflow
Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns. Uses the Python netflow library to decode flow records, builds traffic baselines, and applies statistical analysis to identify flows with abnormal byte counts, connection durations, and periodic timing patterns.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-network-segmentation-for-ot
This skill covers implementing network segmentation in Operational Technology environments using VLANs, industrial firewalls, data diodes, and software-defined networking. It addresses the Purdue Model-based segmentation strategy, migration from flat networks to segmented architectures without disrupting operations, configuring OT-aware firewalls with industrial protocol deep packet inspection, and validating segmentation effectiveness through traffic analysis.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-ai-model-prompt-injection-attacks
Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-based escapes). Based on the OWASP LLM Top 10 (LLM01:2025 Prompt Injection) and Simon Willison's prompt injection taxonomy. Activates for requests involving prompt injection detection, LLM input sanitization, AI security scanning, or prompt attack classification.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-malware-sandbox-evasion-techniques
Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports
mukul975/Anthropic-Cybersecurity-Skills 4,300
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deploying-software-defined-perimeter
Deploy a Software-Defined Perimeter using the CSA v2.0 specification with Single Packet Authorization, mutual TLS, and SDP controller/gateway configuration to enforce zero trust network access.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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testing-for-sensitive-data-exposure
Identifying sensitive data exposure vulnerabilities including API key leakage, PII in responses, insecure storage, and unprotected data transmission during security assessments.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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implementing-dragos-platform-for-ot-monitoring
Deploy and configure the Dragos Platform for OT network monitoring, leveraging its 600+ industrial protocol parsers, intelligence-driven threat detection analytics, and asset visibility capabilities to protect ICS environments against threat groups like VOLTZITE, GRAPHITE, and BAUXITE.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-malware-hash-enrichment-with-virustotal
Enrich malware file hashes using the VirusTotal API to retrieve detection rates, behavioral analysis, YARA matches, and contextual threat intelligence for incident triage and IOC validation.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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performing-soap-web-service-security-testing
Perform security testing of SOAP web services by analyzing WSDL definitions and testing for XML injection, XXE, WS-Security bypass, and SOAPAction spoofing.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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reverse-engineering-ios-app-with-frida
Reverse engineers iOS applications using Frida dynamic instrumentation to understand internal logic, extract encryption keys, bypass security controls, and discover hidden functionality without source code access. Use when performing authorized iOS penetration testing, analyzing proprietary protocols, understanding obfuscated logic, or extracting runtime secrets from iOS binaries. Activates for requests involving iOS reverse engineering, Frida iOS hooking, Objective-C/Swift method tracing, or iOS binary analysis.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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testing-oauth2-implementation-flaws
Tests OAuth 2.0 and OpenID Connect implementations for security flaws including authorization code interception, redirect URI manipulation, CSRF in OAuth flows, token leakage, scope escalation, and PKCE bypass. The tester evaluates the authorization server, client application, and token handling for common misconfigurations that enable account takeover or unauthorized access. Activates for requests involving OAuth security testing, OIDC vulnerability assessment, OAuth2 redirect bypass, or authorization code flow testing.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-email-headers-for-phishing-investigation
Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify spoofing through SPF, DKIM, and DMARC validation.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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building-devsecops-pipeline-with-gitlab-ci
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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analyzing-network-packets-with-scapy
Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing
mukul975/Anthropic-Cybersecurity-Skills 4,300
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detecting-stuxnet-style-attacks
This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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auditing-cloud-with-cis-benchmarks
This skill details how to conduct cloud security audits using Center for Internet Security benchmarks for AWS, Azure, and GCP. It covers interpreting CIS Foundations Benchmark controls, running automated assessments with tools like Prowler and ScoutSuite, remediating failed controls, and maintaining continuous compliance monitoring against CIS v5 for AWS, v4 for Azure, and v4 for GCP.
mukul975/Anthropic-Cybersecurity-Skills 4,300
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exploiting-insecure-deserialization
Identifying and exploiting insecure deserialization vulnerabilities in Java, PHP, Python, and .NET applications to achieve remote code execution during authorized penetration tests.
mukul975/Anthropic-Cybersecurity-Skills 4,300