GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills,按职业与使用场景整理,复制一行命令即可安装到 Claude Code、Cursor 等智能体。
按职业浏览 Agent Skills
为不同岗位挑选的高频技能
按使用场景浏览 Agent Skills
从你要完成的任务出发
按创作者浏览 Agent Skills
按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoftopenclaw
@openclawOpenAI
@openaiThe Apache Software Foundation
@apacheGitHub
@githubAnthropic
@anthropicsAutoGPT
@Significant-GravitasGarry Tan
@garrytan全部 Skills 196741
implementing-web-application-logging-with-modsecurity
Configure ModSecurity WAF with the OWASP Core Rule Set (CRS) for web application audit logging, tuning SecRuleEngine, SecAuditEngine, and CRS paranoia levels to reduce false positives, and writing custom SecRules for application-specific threats. Use when deploying or tuning a ModSecurity WAF, analyzing audit logs for attack detection, or reducing CRS false positives.
implementing-vulnerability-sla-breach-alerting
Build an automated SLA breach alerting system for vulnerability remediation, including a database schema for SLA tracking, breach detection logic, notification dispatch, a scheduled check runner, and a KPI/compliance metrics dashboard. Use when implementing severity-based SLA timelines (critical/high/medium/low), detecting and escalating SLA breaches, or building vulnerability remediation compliance reporting.
implementing-vulnerability-remediation-sla
Design a vulnerability remediation SLA program covering asset tiering, a severity-based SLA matrix, exception processes, escalation chains, ticketing-system integration, and remediation KPIs/trending metrics. Use when defining mandatory patching timeframes by severity and asset criticality, building an SLA policy document, or setting up escalation and KPI tracking for vulnerability remediation.
implementing-vulnerability-management-with-greenbone
Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library over the Greenbone Management Protocol (GMP) to connect via Unix socket or TLS, create scan targets and configs, execute scans, and parse the XML scan reports into actionable findings. Use when automating OpenVAS/GVM scan creation and execution, or programmatically retrieving and parsing vulnerability scan reports.
implementing-velociraptor-for-ir-collection
Deploy 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.
implementing-usb-device-control-policy
Implements USB device control policies to restrict unauthorized removable media access on endpoints, preventing data exfiltration and malware introduction via USB devices. Use when deploying device control via Group Policy, Intune, or EDR platforms to enforce USB restrictions. Activates for requests involving USB control, removable media policy, device control, or data loss prevention via USB.
implementing-ticketing-system-for-incidents
Implements an integrated incident ticketing system connecting SIEM alerts to ServiceNow, Jira, or TheHive for structured incident tracking, SLA management, escalation workflows, and compliance documentation. Use when SOC teams need formalized incident lifecycle management with automated ticket creation, assignment routing, and resolution tracking.
implementing-threat-modeling-with-mitre-attack
Implements threat modeling using the MITRE ATT&CK framework to map adversary TTPs against organizational assets, assess detection coverage gaps, and prioritize defensive investments. Use when SOC teams need to align detection engineering with threat landscape, conduct threat assessments for new environments, or justify security tool procurement.
implementing-threat-intelligence-lifecycle-management
Build out a full CTI program around the six-phase threat intelligence lifecycle (direction, collection, processing, analysis, dissemination, feedback), including defining intelligence requirements, building a collection pipeline, normalizing data, and tracking dissemination feedback. Use when standing up or maturing a threat intelligence program, defining intelligence requirements, or designing collection-to-dissemination workflows for a CTI team.
implementing-taxii-server-with-opentaxii
Deploy and configure a TAXII 2.1 server (Medallion) with Docker, publish and consume STIX 2.1 bundles across collections, and integrate the feed with SIEM/SOAR platforms for automated indicator exchange between organizations. Use when standing up a TAXII server to share threat intel, configuring collections for CTI feeds, or automating STIX indicator ingestion into a SIEM/SOAR.
implementing-syslog-centralization-with-rsyslog
Configure rsyslog for centralized log collection with TLS encryption, custom templates, and log rotation, generating server and client configuration files with GnuTLS stream drivers, x509 certificate authentication, per-host log segregation, and reliable queue settings. Use when building a centralized, encrypted syslog pipeline, hardening rsyslog client/server configs for high-availability log infrastructure, or troubleshooting TLS-based syslog forwarding.
implementing-supply-chain-security-with-in-toto
Implements supply chain integrity verification for container builds with the in-toto framework: generating signing keys, defining a supply chain layout, recording pipeline steps as signed link metadata, verifying before deployment, enforcing at Kubernetes admission, and integrating with SLSA. Use when attesting CI/CD pipeline steps, proving an image followed the approved build process, or enforcing provenance at admission. Keywords: in-toto, layout, link metadata, step, inspection, SLSA, provenance, admission. Do not use for signing and verifying images with Cosign - use implementing-image-provenance-verification-with-cosign.
implementing-stix-taxii-feed-integration
Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion. Use when integrating a STIX/TAXII CTI feed into a SIEM or TIP, writing a TAXII client to poll for new indicators, or setting up TAXII collections for indicator exchange.
implementing-soar-playbook-with-palo-alto-xsoar
Build automated incident response playbooks in Cortex XSOAR (Demisto) using its YAML playbook structure, integration commands, and task types to orchestrate phishing, malware, account-compromise, and DDoS response workflows across SOC tools. Use when authoring or wiring up an XSOAR playbook, adding custom XSOAR integration commands or Python automation scripts, or reducing manual SOC response time via orchestration.
implementing-soar-playbook-for-phishing
Automates phishing incident response by calling the Splunk SOAR (Phantom) REST API to create containers, attach artifacts (emails, URLs, attachments), and trigger response playbooks. Use when building or wiring up a Splunk SOAR phishing playbook, ingesting a suspected phishing report into SOAR, or automating containment and triage for phishing incidents.
implementing-soar-automation-with-phantom
Implements Security Orchestration, Automation, and Response (SOAR) workflows using Splunk SOAR (formerly Phantom) to automate alert triage, IOC enrichment, containment actions, and incident response playbooks. Use when SOC teams need to reduce manual analyst work, standardize response procedures, or integrate multiple security tools into automated workflows.
implementing-sigstore-for-software-signing
Implements Sigstore-based software signing and verification using Cosign keyless signing, Rekor transparency log verification, and Fulcio certificate authority integration to establish cryptographic provenance for container images, binaries, and software artifacts, including OIDC-based identity binding and CI/CD pipeline integration. Use when setting up keyless container/artifact signing, verifying signatures against the Rekor transparency log, or deploying Sigstore in a supply-chain security workflow.
implementing-siem-use-cases-for-detection
Implements SIEM detection use cases by designing correlation rules, threshold alerts, and behavioral analytics mapped to MITRE ATT&CK techniques across Splunk, Elastic, and Sentinel. Use when SOC teams need to expand detection coverage, formalize use case lifecycle management, or build a detection library aligned to organizational threat profile.