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analyzing-powershell-script-block-logging

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autohandai
autohandai
103

analyzing-powershell-empire-artifacts

Detect PowerShell Empire framework artifacts in Windows event logs by identifying Base64 encoded launcher patterns, default user agents, staging URL structures, stager IOCs, and known Empire module signatures in Script Block Logging events.

autohandai
autohandai
103

analyzing-phishing-email-headers

Email headers contain critical metadata that reveals the true origin, routing path, and authentication status of emails. Analyzing these headers is a foundational skill for identifying phishing attemp

autohandai
autohandai
103

analyzing-persistence-mechanisms-in-linux

Detect and analyze Linux persistence mechanisms including crontab entries, systemd service units, LD_PRELOAD hijacking, bashrc modifications, and authorized_keys backdoors using auditd and file integrity monitoring

autohandai
autohandai
103

analyzing-pdf-malware-with-pdfid

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autohandai
autohandai
103

analyzing-packed-malware-with-upx-unpacker

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autohandai
autohandai
103

analyzing-outlook-pst-for-email-forensics

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

autohandai
autohandai
103

analyzing-office365-audit-logs-for-compromise

Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect email forwarding rule creation, inbox delegation, suspicious OAuth app grants, and other indicators of account compromise.

autohandai
autohandai
103

analyzing-linux-elf-malware

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autohandai
autohandai
103

analyzing-network-traffic-of-malware

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autohandai
autohandai
103

analyzing-network-traffic-for-incidents

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autohandai
autohandai
103

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

autohandai
autohandai
103

analyzing-network-flow-data-with-netflow

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autohandai
autohandai
103

analyzing-network-covert-channels-in-malware

Detect and analyze covert communication channels used by malware including DNS tunneling, ICMP exfiltration, steganographic HTTP, and protocol abuse for C2 and data exfiltration.

autohandai
autohandai
103

analyzing-mft-for-deleted-file-recovery

Analyze the NTFS Master File Table ($MFT) to recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space using MFTECmd, analyzeMFT, and X-Ways Forensics.

autohandai
autohandai
103

analyzing-memory-forensics-with-lime-and-volatility

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autohandai
autohandai
103

analyzing-memory-dumps-with-volatility

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autohandai
autohandai
103

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

autohandai
autohandai
103

analyzing-apt-group-with-mitre-navigator

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

autohandai
autohandai
103

analyzing-azure-activity-logs-for-threats

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autohandai
autohandai
103

analyzing-browser-forensics-with-hindsight

Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.

autohandai
autohandai
103

analyzing-campaign-attribution-evidence

Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr

autohandai
autohandai
103

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.

autohandai
autohandai
103

analyzing-cloud-storage-access-patterns

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autohandai
autohandai
103

analyzing-malware-persistence-with-autoruns

Use Sysinternals Autoruns to systematically identify and analyze malware persistence mechanisms across registry keys, scheduled tasks, services, drivers, and startup locations on Windows systems.

autohandai
autohandai
103

analyzing-malware-family-relationships-with-malpedia

Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.

autohandai
autohandai
103

analyzing-malware-behavior-with-cuckoo-sandbox

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autohandai
autohandai
103

analyzing-malicious-url-with-urlscan

URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolat

autohandai
autohandai
103

analyzing-malicious-pdf-with-peepdf

Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.

autohandai
autohandai
103

analyzing-macro-malware-in-office-documents

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autohandai
autohandai
103

analyzing-lnk-file-and-jump-list-artifacts

Analyze Windows LNK shortcut files and Jump List artifacts to establish evidence of file access, program execution, and user activity using LECmd, JLECmd, and manual binary parsing of the Shell Link Binary format.

autohandai
autohandai
103

analyzing-linux-system-artifacts

Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.

autohandai
autohandai
103

analyzing-linux-kernel-rootkits

Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.

autohandai
autohandai
103

analyzing-kubernetes-audit-logs

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autohandai
autohandai
103

analyzing-ios-app-security-with-objection

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autohandai
autohandai
103

analyzing-indicators-of-compromise

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autohandai
autohandai
103

analyzing-bootkit-and-rootkit-samples

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autohandai
autohandai
103

analyzing-heap-spray-exploitation

Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.

autohandai
autohandai
103

analyzing-golang-malware-with-ghidra

Reverse engineer Go-compiled malware using Ghidra with specialized scripts for function recovery, string extraction, and type reconstruction in stripped Go binaries.

autohandai
autohandai
103

analyzing-ethereum-smart-contract-vulnerabilities

Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.

autohandai
autohandai
103

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.

autohandai
autohandai
103

analyzing-docker-container-forensics

Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.

autohandai
autohandai
103

analyzing-dns-logs-for-exfiltration

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autohandai
autohandai
103

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.

autohandai
autohandai
103

analyzing-cobalt-strike-malleable-profiles

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autohandai
autohandai
103

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.

autohandai
autohandai
103

analyzing-command-and-control-communication

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autohandai
autohandai
103

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of disk images using Autopsy to recover files, examine artifacts, and build investigation timelines.

autohandai
autohandai
103

documenting-projects

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axiomantic
axiomantic
105

fact-checking

Use when verifying technical claims in code, docs, or comments before merge. Triggers: 'is this claim correct', 'verify this', 'fact check', 'is this accurate', 'check these assertions', 'are these comments true'. NOT for: checking if AI hallucinated references (use dehallucination).

axiomantic
axiomantic
105

Page 1102 of 1712 · 85563 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.