Topic: coding-agent-skills
961 skills in this topic.
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deploying-palo-alto-prisma-access-zero-trust
Deploying Palo Alto Networks Prisma Access for SASE-based zero trust network access using GlobalProtect agents, ZTNA Connectors, security policy enforcement, and integration with Strata Cloud Manager for unified security management.
autohandai/community-skills
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detecting-azure-lateral-movement
Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.
autohandai/community-skills
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detecting-cloud-cryptomining-activity
Detecting unauthorized cryptocurrency mining activity in cloud environments by analyzing compute usage anomalies, network traffic to mining pools, GuardDuty findings, and container workload behavior using AWS, Azure, and GCP native security services.
autohandai/community-skills
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detecting-container-escape-attempts
Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators
autohandai/community-skills
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detecting-credential-dumping-techniques
Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules
autohandai/community-skills
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detecting-dnp3-protocol-anomalies
Detect anomalies in DNP3 (Distributed Network Protocol 3) communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet inspection and machine learning approaches.
autohandai/community-skills
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detecting-dns-exfiltration-with-dns-query-analysis
Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.
autohandai/community-skills
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detecting-golden-ticket-forgery
Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 for RC4 encryption downgrades (0x17), abnormal ticket lifetimes, and krbtgt account anomalies in Splunk and Elastic SIEM
autohandai/community-skills
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detecting-living-off-the-land-attacks
Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks. Monitors process creation, command-line arguments, and parent-child relationships to identify suspicious LOLBin execution patterns.
autohandai/community-skills
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detecting-living-off-the-land-with-lolbas
Detect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis
autohandai/community-skills
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detecting-mimikatz-execution-patterns
Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.
autohandai/community-skills
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detecting-pass-the-hash-attacks
Detect Pass-the-Hash attacks by analyzing NTLM authentication patterns, identifying Type 3 logons with NTLM where Kerberos is expected, and correlating with credential dumping.
autohandai/community-skills
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detecting-spearphishing-with-email-gateway
Spearphishing targets specific individuals using personalized, researched content that bypasses generic spam filters. Email security gateways (SEGs) like Microsoft Defender for Office 365, Proofpoint,
autohandai/community-skills
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enhance-prompt
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
autohandai/community-skills
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executing-diamond-model-analysis
Applies the Diamond Model of Intrusion Analysis to structure adversary activity into its four core vertices (adversary, capability, infrastructure, victim) and identifies relationships between them to pivot investigations and attribute campaigns. Use when analyzing a completed intrusion, linking disparate incidents to a common threat actor, or building structured analytic products for threat intelligence dissemination. Activates for requests involving Diamond Model, intrusion analysis, campaign clustering, or adversary attribution methodology.
autohandai/community-skills
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executing-red-team-engagement-planning
Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins.
autohandai/community-skills
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exploiting-constrained-delegation-abuse
Exploit Kerberos Constrained Delegation misconfigurations in Active Directory to impersonate privileged users via S4U2self and S4U2proxy extensions for lateral movement and privilege escalation.
autohandai/community-skills
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exploiting-deeplink-vulnerabilities
Tests and exploits deep link (URL scheme and App Link) vulnerabilities in Android and iOS mobile applications to identify unauthorized access, data injection, intent hijacking, and redirect manipulation. Use when assessing mobile app attack surface through custom URI schemes, Android App Links, iOS Universal Links, or intent-based navigation. Activates for requests involving deep link security testing, URL scheme exploitation, mobile intent abuse, or link hijacking.
autohandai/community-skills
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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.
autohandai/community-skills
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exploiting-oauth-misconfiguration
Identifying and exploiting OAuth 2.0 and OpenID Connect misconfigurations including redirect URI manipulation, token leakage, and authorization code theft during security assessments.
autohandai/community-skills
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exploiting-smb-vulnerabilities-with-metasploit
Identifies and exploits SMB protocol vulnerabilities using Metasploit Framework during authorized penetration tests to demonstrate risks from unpatched Windows systems, misconfigured shares, and weak authentication in enterprise networks.
autohandai/community-skills
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extracting-iocs-from-malware-samples
Extracts indicators of compromise (IOCs) from malware samples including file hashes, network indicators (IPs, domains, URLs), host artifacts (file paths, registry keys, mutexes), and behavioral patterns for threat intelligence sharing and detection rule creation. Activates for requests involving IOC extraction, threat indicator harvesting, malware indicator collection, or building detection content from samples.
autohandai/community-skills
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extracting-memory-artifacts-with-rekall
Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.
autohandai/community-skills
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fun-brainstorming
Invoke before any creative or architectural work — feature design, component creation, or behavioral changes. A streamlined brainstorming process optimized for fast, focused decision-making.
autohandai/community-skills