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hunting-for-dns-based-persistence

Hunt for DNS-based persistence mechanisms including DNS hijacking, dangling CNAME records, wildcard DNS abuse, and unauthorized zone modifications using passive DNS databases, SecurityTrails API, and DNS audit log analysis.

autohandai
autohandai
103

dotnet-aspnetcore

ASP.NET Core web development skills including middleware, endpoints, real-time communication, and API patterns.

dotnet
dotnet
103

dotnet-ai

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

dotnet
dotnet
103

hunting-for-cobalt-strike-beacons

Detect Cobalt Strike beacon network activity using default TLS certificate signatures (serial 8BB00EE), JA3/JA3S/JARM fingerprints, HTTP C2 profile pattern matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.

autohandai
autohandai
103

hunting-for-defense-evasion-via-timestomping

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autohandai
autohandai
103

dotnet-advanced

Collection of .NET skills for handling specific .NET tasks for special scenarios.

dotnet
dotnet
103

hunting-for-dcsync-attacks

Detect DCSync attacks by analyzing Windows Event ID 4662 for unauthorized DS-Replication-Get-Changes requests from non-domain-controller accounts.

autohandai
autohandai
103

detecting-wmi-persistence

Detect WMI event subscription persistence by analyzing Sysmon Event IDs 19, 20, and 21 for malicious EventFilter, EventConsumer, and FilterToConsumerBinding creation.

autohandai
autohandai
103

exploiting-sql-injection-vulnerabilities

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autohandai
autohandai
103

detecting-fileless-malware-techniques

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autohandai
autohandai
103

detecting-fileless-attacks-on-endpoints

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autohandai
autohandai
103

detecting-golden-ticket-attacks-in-kerberos-logs

Detect Golden Ticket attacks in Active Directory by analyzing Kerberos TGT anomalies including mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures in domain controller event logs.

autohandai
autohandai
103

detecting-golden-ticket-attacks

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autohandai
autohandai
103

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
autohandai
103

detecting-insider-data-exfiltration-via-dlp

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autohandai
autohandai
103

detecting-insider-threat-behaviors

Detect insider threat behavioral indicators including unusual data access, off-hours activity, mass file downloads, privilege abuse, and resignation-correlated data theft.

autohandai
autohandai
103

detecting-insider-threat-with-ueba

Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.

autohandai
autohandai
103

detecting-kerberoasting-attacks

Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.

autohandai
autohandai
103

detecting-lateral-movement-in-network

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autohandai
autohandai
103

detecting-lateral-movement-with-splunk

Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.

autohandai
autohandai
103

detecting-living-off-the-land-attacks

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autohandai
autohandai
103

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
autohandai
103

detecting-malicious-scheduled-tasks-with-sysmon

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autohandai
autohandai
103

detecting-mimikatz-execution-patterns

Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.

autohandai
autohandai
103

detecting-misconfigured-azure-storage

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autohandai
autohandai
103

detecting-mobile-malware-behavior

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autohandai
autohandai
103

detecting-modbus-command-injection-attacks

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autohandai
autohandai
103

detecting-modbus-protocol-anomalies

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autohandai
autohandai
103

detecting-network-anomalies-with-zeek

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autohandai
autohandai
103

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.

autohandai
autohandai
103

detecting-oauth-token-theft

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autohandai
autohandai
103

exploiting-ms17-010-eternalblue-vulnerability

MS17-010 (EternalBlue) is a critical vulnerability in Microsoft's SMBv1 implementation that allows remote code execution. Originally discovered by the NSA and leaked by the Shadow Brokers in 2017, it

autohandai
autohandai
103

exploiting-nopac-cve-2021-42278-42287

Exploit the noPac vulnerability chain (CVE-2021-42278 sAMAccountName spoofing and CVE-2021-42287 KDC PAC confusion) to escalate from standard domain user to Domain Admin in Active Directory environments.

autohandai
autohandai
103

exploiting-nosql-injection-vulnerabilities

Detect and exploit NoSQL injection vulnerabilities in MongoDB, CouchDB, and other NoSQL databases to demonstrate authentication bypass, data extraction, and unauthorized access risks.

autohandai
autohandai
103

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
autohandai
103

exploiting-prototype-pollution-in-javascript

Detect and exploit JavaScript prototype pollution vulnerabilities on both client-side and server-side applications to achieve XSS, RCE, and authentication bypass through property injection.

autohandai
autohandai
103

exploiting-race-condition-vulnerabilities

Detect and exploit race condition vulnerabilities in web applications using Turbo Intruder's single-packet attack technique to bypass rate limits, duplicate transactions, and exploit time-of-check-to-time-of-use flaws.

autohandai
autohandai
103

exploiting-server-side-request-forgery

Identifying and exploiting SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration tests.

autohandai
autohandai
103

exploiting-smb-vulnerabilities-with-metasploit

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autohandai
autohandai
103

exploiting-sql-injection-with-sqlmap

Detecting and exploiting SQL injection vulnerabilities using sqlmap to extract database contents during authorized penetration tests.

autohandai
autohandai
103

exploiting-template-injection-vulnerabilities

Detecting and exploiting Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution.

autohandai
autohandai
103

exploiting-type-juggling-vulnerabilities

Exploit PHP type juggling vulnerabilities caused by loose comparison operators to bypass authentication, circumvent hash verification, and manipulate application logic through type coercion attacks.

autohandai
autohandai
103

exploiting-vulnerabilities-with-metasploit-framework

The Metasploit Framework is the world's most widely used penetration testing platform, maintained by Rapid7. It contains over 2,300 exploits, 1,200 auxiliary modules, and 400 post-exploitation modules

autohandai
autohandai
103

exploiting-websocket-vulnerabilities

Testing WebSocket implementations for authentication bypass, cross-site hijacking, injection attacks, and insecure message handling during authorized security assessments.

autohandai
autohandai
103

exploiting-zerologon-vulnerability-cve-2020-1472

Exploit the Zerologon vulnerability (CVE-2020-1472) in the Netlogon Remote Protocol to achieve domain controller compromise by resetting the machine account password to empty.

autohandai
autohandai
103

extracting-browser-history-artifacts

Extract and analyze browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge for forensic evidence of user web activity.

autohandai
autohandai
103

extracting-config-from-agent-tesla-rat

Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis.

autohandai
autohandai
103

extracting-credentials-from-memory-dump

Extract cached credentials, password hashes, Kerberos tickets, and authentication tokens from memory dumps using Volatility and Mimikatz for forensic investigation.

autohandai
autohandai
103

detecting-evasion-techniques-in-endpoint-logs

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autohandai
autohandai
103

extracting-iocs-from-malware-samples

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autohandai
autohandai
103

Page 1098 of 1712 · 85600 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.