autohandai
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- ▌ Analyzing Malware Persistence With Autoruns · autohandai-community-skills bundleUse Sysinternals Autoruns to systematically identify and analyze malware persistence mechanisms across registry keys, scheduled tasks, services, drivers, and startup locations on Windows systems.
- ▌ Analyzing Ransomware Leak Site Intelligence · autohandai-community-skills bundleMonitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.
- ▌ Analyzing Tls Certificate Transparency Logs · autohandai-community-skills bundleQueries Certificate Transparency logs via crt.sh and pycrtsh to detect phishing domains, unauthorized certificate issuance, and shadow IT. Monitors newly issued certificates for typosquatting and brand impersonation using Levenshtein distance. Use for proactive phishing domain detection and certificate monitoring.
- ▌ Building Ioc Defanging And Sharing Pipeline · autohandai-community-skills bundleBuild an automated pipeline to defang indicators of compromise (URLs, IPs, domains, emails) for safe sharing and distribute them in STIX format through TAXII feeds and threat intelligence platforms.
- ▌ Building Phishing Reporting Button Workflow · autohandai-community-skills bundleImplement a phishing report button in email clients with automated triage workflow that analyzes user-reported suspicious emails and provides feedback to reporters.
- ▌ Deobfuscating Powershell Obfuscated Malware · autohandai-community-skills bundleSystematically deobfuscate multi-layer PowerShell malware using AST analysis, dynamic tracing, and tools like PSDecode and PowerDecode to reveal hidden payloads and C2 infrastructure.
- ▌ Detecting AWS Guardduty Findings Automation · autohandai-community-skills bundleAutomate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.
- ▌ Detecting Business Email Compromise With AI · autohandai-community-skills bundleDeploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.
- ▌ Detecting Container Escape With Falco Rules · autohandai-community-skills bundleDetect container escape attempts in real-time using Falco runtime security rules that monitor syscalls, file access, and privilege escalation.
- ▌ Detecting Insider Data Exfiltration Via Dlp · autohandai-community-skills bundleDetects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs. Uses pandas for behavioral analytics and statistical baselines. Use when investigating insider threats or building user behavior analytics for data loss prevention.
- ▌ Exploiting Active Directory With Bloodhound · autohandai-community-skills bundleBloodHound is a graph-based Active Directory reconnaissance tool that uses graph theory to reveal hidden and unintended relationships within AD environments. Red teams use BloodHound to identify attac
- ▌ Implementing Anti Phishing Training Program · autohandai-community-skills bundleSecurity awareness training is the human layer of phishing defense. An effective anti-phishing training program combines regular simulations, interactive learning modules, metric tracking, and positiv
- ▌ Implementing API Schema Validation Security · autohandai-community-skills bundleImplement API schema validation using OpenAPI specifications and JSON Schema to enforce input/output contracts and prevent injection, data exposure, and mass assignment attacks.
- ▌ Implementing Cisa Zero Trust Maturity Model · autohandai-community-skills bundleImplement the CISA Zero Trust Maturity Model v2.0 across the five pillars of identity, devices, networks, applications, and data to achieve progressive organizational zero trust maturity.
- ▌ Implementing Runtime Security With Tetragon · autohandai-community-skills bundleImplement eBPF-based runtime security observability and enforcement in Kubernetes clusters using Cilium Tetragon for kernel-level threat detection and policy enforcement.
- ▌ Implementing Siem Correlation Rules For Apt · autohandai-community-skills bundleWrite multi-event correlation rules that detect APT lateral movement by chaining Windows authentication events, process execution telemetry, and network connection logs across hosts. Uses Splunk SPL and Sigma rule format to correlate Event IDs 4624, 4648, 4688, and Sysmon Events 1/3 within sliding time windows to surface attack sequences invisible to single-event detections.
- ▌ Implementing Velociraptor For Ir Collection · autohandai-community-skills bundleDeploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.
- ▌ Nvidia Cuopt Numerical Optimization API CLI · autohandai-community-skills bundleLP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving LP, MILP, or QP from MPS via command line.
- ▌ Nvidia Megatron Bridge Adding Model Support · autohandai-community-skills bundleGuide for adding support for new LLM or VLM models in Megatron-Bridge. Covers bridge, provider, recipe, tests, docs, and examples.
- ▌ Nvidia Megatron Bridge Nemo Rl E2e Testing · autohandai-community-skills bundleExternal NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider changes, including downstream compatibility checks, external RL lifecycle behavior, Megatron policy setup, HF import/export, checkpoint/resume, non-colocated vLLM refit, delta weight transfer, optional LoRA/generation variants, and questions such as "does this model work in NeMo-RL", "run NeMo-RL e2e", or "external RL loop validation". Covers running NeMo-RL Megatron policy jobs from a Bridge checkout, choosing GRPO/SFT/checkpoint/non-colocated refit variants, setting PYTHONPATH so NeMo-RL imports the local Bridge tree, and reporting pass/fail evidence.
- ▌ Nvidia Megatron Bridge Perf Cpu Offloading · autohandai-community-skills bundleValidate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
- ▌ Nvidia Model Optimizer Release Cherry Pick · autohandai-community-skills bundleCherry-pick merged PRs labeled for a release branch into that branch, then open a PR and apply the cherry-pick-done label. Use when asked to "cherry-pick PRs for release/X.Y.Z", "pick PRs to release branch", or "cherry-pick labeled PRs".
- ▌ Nvidia Nemoclaw Maintainer Cut Release Tag · autohandai-community-skills bundleCut a new semver release — bump all version strings via bump-version.ts, open a release PR, and after merge tag main and push. Use when cutting a release, tagging a version, shipping a build, or preparing a deployment. Trigger keywords - cut tag, release tag, new tag, cut release, tag version, ship it.
- ▌ Nvidia Tensorrt LLM Perf Host Optimization · autohandai-community-skills bundleProfiles and optimizes TensorRT-LLM host/CPU overhead using line_profiler (with nsys support planned). Runs iterative profile-analyze-optimize-validate rounds. Use when GPU utilization is low or optimizing PyExecutor throughput.
- ▌ Nvidia Tensorrt LLM Perf Torch Cuda Graphs · autohandai-community-skills bundleApply CUDA Graphs to PyTorch workloads — API selection (torch.compile, PyTorch make_graphed_callables, TE make_graphed_callables, MCore CudaGraphManager, FullCudaGraphWrapper, manual torch.cuda.graph), code compatibility, capture workflows, dynamic pattern handling, and troubleshooting. Triggers: CUDA graph, torch.cuda.graph, make_graphed_callables, reduce-overhead, graph capture, graph replay, kernel launch overhead, CudaGraphManager, FullCudaGraphWrapper, full-iteration graph, stream capture.
- ▌ Nvidia Tilegym Converting Cutile To Triton · autohandai-community-skills bundleConverts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles standard in-repo conversion, debugging (cudaErrorIllegalAddress, shape mismatch, numerical mismatch), and mapping cuTile idioms (ct.load/ct.store, ct.Constant, ct.launch) to Triton equivalents. Covers dual-kernel layout flags (e.g. transpose=True/False + autotune grid via META) per translations/advanced-patterns.md. Use when converting, porting, or translating cuTile kernels to Triton, or debugging existing Triton translations.
- ▌ Nvidia Video Search And Summarization Vios · autohandai-community-skills bundleQuery VIOS REST APIs: sensor list, recording timelines, video clip extraction, snapshot capture, add/delete sensors and streams
- ▌ Performing Access Review And Certification · autohandai-community-skills bundleConduct systematic access reviews and certifications to ensure users have appropriate access rights aligned with their roles. This skill covers review campaign design, reviewer selection, risk-based p
- ▌ Performing Authenticated Scan With Openvas · autohandai-community-skills bundleConfigure and execute authenticated vulnerability scans using OpenVAS/Greenbone Vulnerability Management with SSH and SMB credentials for comprehensive host-level assessment.
- ▌ Performing Dark Web Monitoring For Threats · autohandai-community-skills bundleDark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre
- ▌ Performing HTTP Parameter Pollution Attack · autohandai-community-skills bundleExecute HTTP Parameter Pollution attacks to bypass input validation, WAF rules, and security controls by injecting duplicate parameters that are processed differently by front-end and back-end systems.
- ▌ Hunting For Anomalous Powershell Execution · autohandai-community-skills bundleHunt for malicious PowerShell activity by analyzing Script Block Logging (Event 4104), Module Logging (Event 4103), and process creation events. The analyst parses Windows Event Log EVTX files to detect obfuscated commands, AMSI bypass attempts, encoded payloads, credential dumping keywords, and suspicious download cradles. Activates for requests involving PowerShell threat hunting, script block analysis, encoded command detection, or AMSI bypass identification.
- ▌ Implementing AWS Iam Permission Boundaries · autohandai-community-skills bundleConfigure IAM permission boundaries in AWS to delegate role creation to developers while enforcing maximum privilege limits set by the security team.
- ▌ Implementing Dmarc Dkim Spf Email Security · autohandai-community-skills bundleSPF, DKIM, and DMARC form the three pillars of email authentication. Together they prevent domain spoofing, validate message integrity, and define policies for handling unauthenticated mail. Proper im
- ▌ Implementing Endpoint Detection With Wazuh · autohandai-community-skills bundleDeploy and configure Wazuh SIEM/XDR for endpoint detection including agent management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, and automated response actions.
- ▌ Implementing Gdpr Data Protection Controls · autohandai-community-skills bundleThe General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill cover
- ▌ Implementing Log Integrity With Blockchain · autohandai-community-skills bundleBuild an append-only log integrity chain using SHA-256 hash chaining for tamper detection. Each log entry is hashed with the previous entry's hash to create a blockchain-like structure where modifying any entry invalidates all subsequent hashes. Implements log ingestion, chain verification, tamper detection with pinpoint identification, and periodic checkpoint anchoring to external timestamping services.
- ▌ Implementing Mitre Attack Coverage Mapping · autohandai-community-skills bundleImplement MITRE ATT&CK coverage mapping to identify detection gaps, prioritize rule development, and measure SOC detection maturity against adversary techniques.
- ▌ Implementing Privileged Access Workstation · autohandai-community-skills bundleDesign and implement Privileged Access Workstations (PAWs) with device hardening, just-in-time access, and integration with CyberArk or BeyondTrust for secure administrative operations.
- ▌ Implementing Rapid7 Insightvm For Scanning · autohandai-community-skills bundleDeploy and configure Rapid7 InsightVM Security Console and Scan Engines for authenticated and unauthenticated vulnerability scanning across enterprise environments.
- ▌ Implementing Rbac Hardening For Kubernetes · autohandai-community-skills bundleHarden Kubernetes Role-Based Access Control by implementing least-privilege policies, auditing role bindings, eliminating cluster-admin sprawl, and integrating external identity providers.
- ▌ Implementing Vulnerability Remediation Sla · autohandai-community-skills bundleVulnerability remediation SLAs define mandatory timeframes for patching or mitigating identified vulnerabilities based on severity, asset criticality, and exploit availability. Effective SLA programs
- ▌ Nvidia Megatron Bridge Mlm Bridge Training · autohandai-community-skills bundleRun Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
- ▌ Analyzing Lnk File And Jump List Artifacts · autohandai-community-skills bundleAnalyze 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.
- ▌ Building Cloud Security Posture Management · autohandai-community-skills bundleThis skill guides security architects through designing and implementing a cloud security posture management program that continuously monitors infrastructure configurations across AWS, Azure, and GCP. It covers selecting CSPM tooling such as Wiz, Prisma Cloud, or native services, defining policy baselines, automating drift detection, and integrating posture findings into SOC workflows.
- ▌ Building Devsecops Pipeline With Gitlab CI · autohandai-community-skills bundleDesign and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.
- ▌ Building Incident Timeline With Timesketch · autohandai-community-skills bundleBuild collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data for attack chain reconstruction and investigation documentation.
- ▌ Building Role Mining For Rbac Optimization · autohandai-community-skills bundleApply bottom-up and top-down role mining techniques to discover optimal RBAC roles from existing user-permission assignments, reducing role explosion and enforcing least privilege.
- ▌ Building Threat Feed Aggregation With Misp · autohandai-community-skills bundleDeploy MISP (Malware Information Sharing Platform) to aggregate, correlate, and distribute threat intelligence feeds from multiple sources for centralized IOC management and automated SIEM integration.
- ▌ Conducting Social Engineering Pretext Call · autohandai-community-skills bundlePlan and execute authorized vishing (voice phishing) pretext calls to assess employee susceptibility to social engineering and evaluate security awareness controls.
- ▌ Detecting Arp Poisoning In Network Traffic · autohandai-community-skills bundleDetect and prevent ARP spoofing attacks using ARPWatch, Dynamic ARP Inspection, Wireshark analysis, and custom monitoring scripts to protect against man-in-the-middle interception.
- ▌ Detecting Spearphishing With Email Gateway · autohandai-community-skills bundleSpearphishing targets specific individuals using personalized, researched content that bypasses generic spam filters. Email security gateways (SEGs) like Microsoft Defender for Office 365, Proofpoint,
- ▌ Exploiting Insecure Data Storage In Mobile · autohandai-community-skills bundleIdentifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications including unencrypted databases, world-readable files, insecure SharedPreferences, plaintext credential storage, and improper keychain/keystore usage. Use when performing mobile penetration testing focused on OWASP M9 (Insecure Data Storage) or assessing compliance with MASVS-STORAGE requirements. Activates for requests involving mobile data storage security, local storage exploitation, SharedPreferences analysis, or mobile data leakage assessment.
- ▌ Hardening Docker Containers For Production · autohandai-community-skills bundleHardening Docker containers for production involves applying security best practices aligned with CIS Docker Benchmark v1.8.0 to minimize attack surface, prevent privilege escalation, and enforce leas
- ▌ Exploiting Race Condition Vulnerabilities · autohandai-community-skills bundleDetect 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.
- ▌ Hunting For Unusual Service Installations · autohandai-community-skills bundleDetect suspicious Windows service installations (MITRE ATT&CK T1543.003) by parsing System event logs for Event ID 7045, analyzing service binary paths, and identifying indicators of persistence mechanisms.
- ▌ Implementing JWT Signing And Verification · autohandai-community-skills bundleJSON Web Tokens (JWT) defined in RFC 7519 are compact, URL-safe tokens used for authentication and authorization in web applications. This skill covers implementing secure JWT signing with HMAC-SHA256
- ▌ Implementing Mtls For Zero Trust Services · autohandai-community-skills bundleConfigures mutual TLS (mTLS) authentication between microservices using Python cryptography library for certificate generation and ssl module for TLS verification. Validates certificate chains, checks expiration, and audits mTLS deployment status. Use when implementing zero-trust service-to-service authentication.
- ▌ Implementing Threat Intelligence Platform · autohandai-community-skills bundleBuild a MISP-backed threat intelligence platform that ingests IOCs from multiple feeds, correlates events with galaxy clusters, and enriches indicators via VirusTotal and AbuseIPDB. Uses PyMISP to create events, add attributes with IDS flags, tag with MITRE ATT&CK techniques, and export STIX 2.1 bundles for downstream SIEM consumption.
- ▌ Nvidia Cuopt Numerical Optimization API C · autohandai-community-skills bundleLP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is embedding LP, MILP, or QP in C/C++.
- ▌ Nvidia Megatron Bridge Perf Megatron Fsdp · autohandai-community-skills bundleOperational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
- ▌ Nvidia Megatron Bridge Perf Memory Tuning · autohandai-community-skills bundleTechniques for reducing peak GPU memory in Megatron Bridge — expandable segments, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes.
- ▌ Nvidia Megatron Bridge Recipe Recommender · autohandai-community-skills bundleRecommend and customize Megatron Bridge recipes for a user's model, GPU count, and training goal. Indexes library recipes (pretrain/SFT/PEFT) and performance recipes.
- ▌ Nvidia Megatron Core Build And Dependency · autohandai-community-skills bundleContainer-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.
- ▌ Nvidia Megatron Core Update Golden Values · autohandai-community-skills bundleRefresh golden values from a GitHub Actions workflow run (failing-only or all jobs), score the change with average normalized relative differences, and produce a PR-ready summary. Use when the user asks to update goldens for a CI run, refresh golden values from a workflow ID, or generate a golden-value diff summary for a PR description.
- ▌ Nvidia Nemoclaw Maintainer Find Review Pr · autohandai-community-skills bundleFinds open GitHub PRs with security and priority-high labels, links each to its issue, detects duplicates (multiple PRs fixing the same issue), and presents a table of review candidates. Use when looking for the next PR to review. Trigger keywords - find pr, find review, next pr, pr to review, duplicate pr, security pr.
- ▌ Nvidia Tensorrt LLM Kernel Triton Writing · autohandai-community-skills bundleONLY for OpenAI Triton (@triton.jit) kernel development. NEVER use for CUDA C++ kernels, TileIR, or profiling tools (ncu, nsys). The user's request must involve Triton explicitly. Covers Triton-specific patterns: fused elementwise, reductions (softmax, LayerNorm, RMSNorm), tiled GEMM with triton.autotune, and flash attention. Workflow: design, write, verify (with fast-path for explicit requests).
- ▌ Nvidia Tilegym Converting Cutile To Julia · autohandai-community-skills bundleConverts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
- ▌ Nvidia Tilegym Improve Cutile Kernel Perf · autohandai-community-skills bundleIteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "improve kernel perf", "tune cutile performance", "make kernel faster", or iteratively benchmark and refine a cuTile GPU kernel in the TileGym project.
- ▌ Performing Alert Triage With Elastic Siem · autohandai-community-skills bundlePerform systematic alert triage in Elastic Security SIEM to rapidly classify, prioritize, and investigate security alerts for SOC operations.
- ▌ Performing Arp Spoofing Attack Simulation · autohandai-community-skills bundleSimulates ARP spoofing attacks in authorized lab or pentest environments using arpspoof, Ettercap, and Scapy to demonstrate man-in-the-middle risks, test network detection capabilities, and validate ARP inspection countermeasures.
- ▌ Performing Credential Access With Lazagne · autohandai-community-skills bundleExtract stored credentials from compromised endpoints using the LaZagne post-exploitation tool to recover passwords from browsers, databases, system vaults, and applications during authorized red team operations.
- ▌ Performing Indicator Lifecycle Management · autohandai-community-skills bundleIndicator lifecycle management tracks IOCs from initial discovery through validation, enrichment, deployment, monitoring, and eventual retirement. This skill covers implementing systematic processes f
- ▌ Performing Kubernetes Penetration Testing · autohandai-community-skills bundleKubernetes penetration testing systematically evaluates cluster security by simulating attacker techniques against the API server, kubelet, etcd, pods, RBAC, network policies, and secrets. Using tools
- ▌ Performing Red Team Phishing With Gophish · autohandai-community-skills bundleAutomate GoPhish phishing simulation campaigns using the Python gophish library. Creates email templates with tracking pixels, configures SMTP sending profiles, builds target groups from CSV, launches campaigns, and analyzes results including open rates, click rates, and credential submission statistics for security awareness assessment.
- ▌ Performing Supply Chain Attack Simulation · autohandai-community-skills bundleSimulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit.
- ▌ Testing For Open Redirect Vulnerabilities · autohandai-community-skills bundleIdentify and test open redirect vulnerabilities in web applications by analyzing URL redirection parameters, bypass techniques, and exploitation chains for phishing and token theft.
- ▌ Analyzing Browser Forensics With Hindsight · autohandai-community-skills bundleAnalyze 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.
- ▌ Analyzing Cobalt Strike Malleable Profiles · autohandai-community-skills bundleParses Cobalt Strike malleable C2 profiles using pyMalleableC2 to extract beacon configuration, HTTP communication patterns, and sleep/jitter settings. Combines with JARM TLS fingerprinting to detect C2 servers on the network. Use when investigating suspected Cobalt Strike infrastructure or building detection signatures for C2 traffic.
- ▌ Performing Physical Intrusion Assessment · autohandai-community-skills bundleConduct authorized physical penetration testing using tailgating, badge cloning, lock bypassing, and rogue device deployment to evaluate facility security controls.
- ▌ Performing Privilege Escalation On Linux · autohandai-community-skills bundleLinux 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
- ▌ Analyzing Azure Activity Logs For Threats · autohandai-community-skills bundleQueries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
- ▌ Analyzing Outlook Pst For Email Forensics · autohandai-community-skills bundleAnalyze 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.
- ▌ Analyzing Persistence Mechanisms In Linux · autohandai-community-skills bundleDetect 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
- ▌ Analyzing Powershell Script Block Logging · autohandai-community-skills bundleParse Windows PowerShell Script Block Logs (Event ID 4104) from EVTX files to detect obfuscated commands, encoded payloads, and living-off-the-land techniques. Uses python-evtx to extract and reconstruct multi-block scripts, applies entropy analysis and pattern matching for Base64-encoded commands, Invoke-Expression abuse, download cradles, and AMSI bypass attempts.
- ▌ Conducting Domain Persistence With Dcsync · autohandai-community-skills bundlePerform DCSync attacks to replicate Active Directory credentials and establish domain persistence by extracting KRBTGT, Domain Admin, and service account hashes for Golden Ticket creation.
- ▌ Conducting Full Scope Red Team Engagement · autohandai-community-skills bundlePlan and execute a comprehensive red team engagement covering reconnaissance through post-exploitation using MITRE ATT&CK-aligned TTPs to evaluate an organization's detection and response capabilities.
- ▌ Configuring Active Directory Tiered Model · autohandai-community-skills bundleImplement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory. Covers Tier 0/1/2 separation, privileged access workstations (PAWs), administrative f
- ▌ Detecting Exfiltration Over Dns With Zeek · autohandai-community-skills bundleDetect DNS-based data exfiltration by analyzing Zeek dns.log for high-entropy subdomains and anomalous query patterns
- ▌ Detecting Living Off The Land With Lolbas · autohandai-community-skills bundleDetect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis
- ▌ Exploiting Excessive Data Exposure In API · autohandai-community-skills bundleTests APIs for excessive data exposure where endpoints return more data than the client application needs, relying on the frontend to filter sensitive fields. The tester intercepts API responses and analyzes them for leaked PII, internal identifiers, debug information, or sensitive business data that the UI does not display but the API transmits. This maps to OWASP API3:2023 Broken Object Property Level Authorization. Activates for requests involving API data leakage testing, excessive data exposure, response filtering bypass, or API over-fetching.
- ▌ Exploiting JWT Algorithm Confusion Attack · autohandai-community-skills bundleExploits JWT algorithm confusion vulnerabilities where the server's token verification library accepts the algorithm specified in the JWT header rather than enforcing a fixed algorithm. The tester manipulates the alg header to switch from RS256 to HS256 (using the RSA public key as the HMAC secret), sets alg to none to bypass signature verification, or exploits kid/jku/x5u header injection to supply attacker-controlled keys. Activates for requests involving JWT algorithm confusion, alg none attack, key confusion attack, or JWT signature bypass.
- ▌ Implementing Rbac For Kubernetes Cluster · autohandai-community-skills bundleConfigure Kubernetes Role-Based Access Control (RBAC) to enforce least-privilege access to cluster resources. This skill covers Role/ClusterRole design, RoleBinding configuration, service account secu
- ▌ Implementing Scim Provisioning With Okta · autohandai-community-skills bundleImplement automated user provisioning and deprovisioning using SCIM 2.0 protocol with Okta as the identity provider.
- ▌ Implementing Stix Taxii Feed Integration · autohandai-community-skills bundleSTIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence.
- ▌ Implementing Taxii Server With Opentaxii · autohandai-community-skills bundleDeploy and configure an OpenTAXII server to share and consume STIX-formatted cyber threat intelligence using the TAXII 2.1 protocol for automated indicator exchange between organizations.
- ▌ Implementing Zero Trust Dns With Nextdns · autohandai-community-skills bundleImplement NextDNS as a zero trust DNS filtering layer with encrypted resolution, threat intelligence blocking, privacy protection, and organizational policy enforcement across all endpoints.
- ▌ Nvidia Nemoclaw Maintainer Pr Comparator · autohandai-community-skills bundleCompares competing PRs that target the same issue and recommends which one to merge. Runs gate, correctness, and quality checks; outputs a deterministic scorecard with reasoning trace. Use when an issue has two or more open PRs and a maintainer needs to decide which to merge.
- ▌ Nvidia Nemoclaw User Configure Inference · autohandai-community-skills bundleConnects NemoClaw to a local inference server. Use when setting up Ollama, vLLM, TensorRT-LLM, NIM, or any OpenAI-compatible local model server with NemoClaw. Trigger keywords - nemoclaw local inference, ollama nemoclaw, vllm nemoclaw, local model server, openai compatible endpoint, switch nemoclaw inference model, change inference runtime, nemoclaw additional model, nemoclaw sub-agent model, openclaw sub-agent, agents.list, sessions_spawn, vlm-demo, nemoclaw tool calling, ollama tool calls, vllm tool-call-parser, raw json in tui, nemoclaw inference options, nemoclaw onboarding providers, nemoclaw inference routing.
- ▌ Nvidia Tensorrt LLM Perf Torch Sync Free · autohandai-community-skills bundleIdentify and eliminate host-device synchronizations in PyTorch code. Detects sync points (.item(), .cpu(), boolean indexing, torch.tensor on CUDA), classifies false vs true dependencies, provides sync-free alternatives. Triggers: sync-free, synchronization, .item(), .cpu(), host-device sync, eliminate syncs, CPU stall, non_blocking, set_sync_debug_mode, cudaStreamSynchronize, cudaEventSynchronize, remove syncs, async GPU.