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Agent Skills in category: Uncategorized

83059 skills match this category. Browse curated collections and explore related Agent Skills.

nvidia-model-optimizer-accessing-mlflow

Query and browse evaluation results stored in MLflow. Use when the user

NVIDIA
NVIDIA
103

nvidia-model-optimizer-debug

Run commands inside a remote Docker container via the file-based command

NVIDIA
NVIDIA
103

nvidia-model-optimizer-deployment

Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible

NVIDIA
NVIDIA
103

nvidia-model-optimizer-evaluation

Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator

NVIDIA
NVIDIA
103

nvidia-model-optimizer-launching-evals

Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.

NVIDIA
NVIDIA
103

nvidia-model-optimizer-monitor

Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters.

NVIDIA
NVIDIA
103

nvidia-model-optimizer-ptq

This skill should be used when the user asks to "quantize a model", "run

NVIDIA
NVIDIA
103

nvidia-model-optimizer-release-cherry-pick

Cherry-pick merged PRs labeled for a release branch into that branch,

NVIDIA
NVIDIA
103

nvidia-nemo-evaluator-byob

Create custom LLM evaluation benchmarks using the BYOB decorator framework.

NVIDIA
NVIDIA
103

nvidia-nemo-evaluator-launcher-accessing-mlflow

Query and browse evaluation results stored in MLflow. Use when the user

NVIDIA
NVIDIA
103

nvidia-nemo-evaluator-launcher-launching-evals

Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.

NVIDIA
NVIDIA
103

nvidia-nemo-evaluator-launcher-nel-assistant

Interactive config wizard for NeMo Evaluator Launcher (NEL). Use when

NVIDIA
NVIDIA
103

nvidia-nemo-gym-add-benchmark

'Guide for adding a new benchmark or training environment to NeMo-Gym.

NVIDIA
NVIDIA
103

nvidia-nemo-gym-debugging

Use when debugging a Nemo Gym run or reward profiling job. Covers rollout

NVIDIA
NVIDIA
103

nvidia-nemo-gym-docs

'Maintain the NeMo Gym Fern docs site — add, update, move, or remove

NVIDIA
NVIDIA
103

nvidia-nemo-gym-pivot-datasets

Use when creating, validating, or documenting Nemo Gym pivot datasets

NVIDIA
NVIDIA
103

nvidia-nemo-gym-reward-profiling

Use to help users get started with Nemo Gym reward profiling. Covers

NVIDIA
NVIDIA
103

nvidia-nemo-rl-auto-research

'Autonomous NeMo-RL research agent workflow for directed hypothesis testing

NVIDIA
NVIDIA
103

nvidia-nemo-rl-brev-etiquette

Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL

NVIDIA
NVIDIA
103

nvidia-nemo-rl-build-and-dependency

Build and dependency management for NeMo-RL. Covers Docker image building

NVIDIA
NVIDIA
103

nvidia-nemo-rl-cicd

CI/CD reference for NeMo-RL. Covers GitHub Actions pipeline structure,

NVIDIA
NVIDIA
103

detecting-fileless-malware-techniques

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autohandai
autohandai
103

dotnet-msbuild

Comprehensive MSBuild and .NET build skills: failure diagnosis, performance optimization, code quality, and modernization.

dotnet
dotnet
103

dotnet-nuget

NuGet and .NET package management: dependency management and modernization.

dotnet
dotnet
103

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
autohandai
103

detecting-container-escape-with-falco-rules

Detect container escape attempts in real-time using Falco runtime security rules that monitor syscalls, file access, and privilege escalation.

autohandai
autohandai
103

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
autohandai
103

detecting-credential-dumping-with-edr

Detect OS credential dumping techniques including LSASS access, SAM extraction, and DCSync using EDR telemetry and Sysmon logs.

autohandai
autohandai
103

detecting-cryptomining-in-cloud

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autohandai
autohandai
103

detecting-dcsync-attack-in-active-directory

Detect DCSync attacks where adversaries abuse Active Directory replication privileges to extract password hashes by monitoring for non-domain-controller accounts requesting directory replication via DsGetNCChanges.

autohandai
autohandai
103

detecting-dll-sideloading-attacks

Detect DLL side-loading attacks where adversaries place malicious DLLs alongside legitimate applications to hijack execution flow for defense evasion.

autohandai
autohandai
103

detecting-dnp3-protocol-anomalies

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autohandai
autohandai
103

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
autohandai
103

detecting-email-account-compromise

Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.

autohandai
autohandai
103

detecting-email-forwarding-rules-attack

Detect malicious email forwarding rules created by adversaries to maintain persistent access to email communications for intelligence collection and BEC attacks.

autohandai
autohandai
103

detecting-evasion-techniques-in-endpoint-logs

>

autohandai
autohandai
103

detecting-exfiltration-over-dns-with-zeek

Detect DNS-based data exfiltration by analyzing Zeek dns.log for high-entropy subdomains and anomalous query patterns

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

>-

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

>

autohandai
autohandai
103

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