Explore MCP Servers & Agent Skills

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-pam-for-database-access

Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL, covering session proxy configuration, credential vaulting, query auditing, dynamic credential generation, and least-privilege database roles. Use when securing DBA access, implementing database PAM controls, or auditing privileged database sessions.

io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-cloud-forensics-with-aws-cloudtrail

Investigate AWS account compromise by querying CloudTrail with boto3's LookupEvents or AWS Athena SQL over S3-delivered logs, filtering on suspicious user agents, source IPs, and event names to reconstruct an attacker timeline. Use when tracing unauthorized API calls, S3 data exfiltration, IAM privilege escalation, or credential exposure, and building a forensic report of findings and remediation steps.

io.github.mukul975/Anthropic-Cybersecurity-Skills/reverse-engineering-android-malware-with-jadx

Reverse engineers malicious Android APK files using the JADX decompiler to read Java/Kotlin source, inspect manifest permissions, receivers, services, and native libraries, and identify data theft, C2 communication, privilege escalation, or overlay-attack behavior. Use when analyzing a suspected Android banking trojan, spyware, SMS stealer, or other flagged APK, or when investigating mobile malware or Android threats generally.

io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-sqlite-database-forensics

Performs forensic analysis of SQLite databases by examining B-tree page structures, recovering deleted records from freelist pages and Write-Ahead Log (WAL) files, decoding encoded timestamps, and extracting evidence from browser history, messaging apps, and mobile device databases. Use when recovering deleted or unallocated data from a SQLite database during digital forensics or mobile/browser evidence analysis.

io.github.mukul975/Anthropic-Cybersecurity-Skills/exploiting-excessive-data-exposure-in-api

Tests APIs for excessive data exposure (OWASP API3:2023) by intercepting raw API responses and comparing them against what the UI actually renders, looking for leaked PII, internal identifiers, debug data, or business-sensitive fields the frontend filters but the API still transmits. Use when auditing REST or mobile-app APIs for over-fetching, response filtering bypass, or unintended data leakage in endpoint responses.

io.github.mukul975/Anthropic-Cybersecurity-Skills/configuring-oauth2-authorization-flow

Configures secure OAuth 2.0 authorization flows, including Authorization Code with PKCE, Client Credentials, and Device Authorization Grant, covering flow selection, PKCE implementation, token lifecycle management, and scope design per OAuth 2.1. Use when implementing or hardening OAuth 2.0 authentication/authorization for web, mobile, SPA, or machine-to-machine clients.

io.github.mukul975/Anthropic-Cybersecurity-Skills/analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

io.github.mukul975/Anthropic-Cybersecurity-Skills/detecting-qr-code-phishing-with-email-security

Detect and prevent QR code phishing (quishing) attacks that embed malicious URLs inside QR code images to bypass link-based email security, using image-based threat detection, OCR/QR decoding, and mobile-side scanning (Microsoft Defender for O365, Proofpoint TAP, Barracuda Multimodal AI). Use when configuring gateway rules against QR phishing or investigating suspicious emails containing QR codes.

io.github.mukul975/Anthropic-Cybersecurity-Skills/analyzing-threat-actor-ttps-with-mitre-attack

Systematically map threat actor behavior and observed IOCs to the MITRE ATT&CK framework, build technique coverage heatmaps with the ATT&CK Navigator, identify detection gaps, and produce actionable threat intelligence reports across the Enterprise, Mobile, and ICS matrices. Use when analyzing threat actor TTPs, correlating IOCs to specific ATT&CK techniques, or assessing defensive detection coverage against adversary behavior.

io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-mobile-device-forensics-with-cellebrite

Acquire and analyze mobile device data using Cellebrite UFED Touch/4PC, UFED Physical Analyzer, and open-source alternatives (ALEAPP, iLEAPP, MEAT, libimobiledevice) to extract communications, call logs, location data, and application artifacts. Use when extracting or recovering deleted evidence from smartphones or tablets during criminal, corporate, or employee-misuse investigations.

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-secrets-management-with-vault

Deploy HashiCorp Vault for centralized secrets management, covering dynamic secret generation for databases and cloud providers, transit encryption, PKI certificate management, and Kubernetes integration. Use when eliminating hardcoded credentials from application code or CI/CD pipelines, migrating to short-lived auto-rotated secrets, or giving Kubernetes workloads secure access to database or cloud provider credentials.

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-infrastructure-as-code-security-scanning

Implements automated security scanning for Infrastructure as Code using Checkov, tfsec, and KICS to detect misconfigurations in Terraform, CloudFormation, Kubernetes manifests, and Helm charts, plus policy-based governance and CI/CD integration. Use when validating cloud infrastructure before deployment or blocking insecure changes (public S3 buckets, open security groups) in pull requests.

io.github.mukul975/Anthropic-Cybersecurity-Skills/emulating-cloud-attacks-with-stratus-red-team

Install and run Stratus Red Team to detonate granular, MITRE ATT&CK-mapped AWS, Azure, GCP, and Kubernetes attack techniques through their warmup-detonate-revert-cleanup lifecycle, then verify the telemetry they generate. Use to validate that cloud detections (CloudTrail, GuardDuty, Microsoft Sentinel, GCP SCC, Falco) actually fire, or to run a repeatable purple-team exercise generating realistic attacker telemetry.

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-policy-as-code-with-open-policy-agent

Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, testing policies in development, and integrating policy evaluation into deployment pipelines. Use when writing Rego policies, deploying Gatekeeper admission control, or gating CI/CD pipelines with policy-as-code checks.

io.github.mukul975/Anthropic-Cybersecurity-Skills/securing-kubernetes-on-cloud

Hardens managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity (IRSA for EKS, Workload Identity for GKE, Managed Identities for AKS), RBAC scoping, image admission controls, and runtime security monitoring. Use when deploying a new managed Kubernetes cluster with security requirements or hardening an existing EKS, AKS, or GKE cluster after an audit or pentest finding.

io.github.mukul975/Anthropic-Cybersecurity-Skills/scanning-iac-and-images-with-trivy

Scans container images, Infrastructure-as-Code (Terraform, CloudFormation, Kubernetes manifests, Dockerfile, Helm), filesystems, git repos, and SBOMs with Trivy's vuln, misconfig, secret, and license scanners. Use when building a CI/CD security gate that scans images before push, IaC before apply, or SBOMs for supply-chain weaknesses, and fails the build on policy violations.

io.github.mukul975/Anthropic-Cybersecurity-Skills/securing-container-registry-images

Secures container registry images (ECR, ACR, GCR, Docker Hub) by scanning with Trivy and Grype, signing with Cosign and Sigstore, configuring registry access controls, and building CI/CD pipelines that block unscanned or unsigned images. Use when establishing registry security controls or enforcing scan/signature checks before image promotion.

io.github.mukul975/Anthropic-Cybersecurity-Skills/scanning-containers-with-trivy-in-cicd

Integrates Aqua Security's Trivy scanner into CI/CD pipelines to detect OS package and application dependency CVEs, Dockerfile misconfigurations, and issues in filesystems or git repositories, and to enforce severity-based quality gates that block vulnerable images from being deployed. Use when building Docker images in CI/CD and needing automated vulnerability scanning and pass/fail gates before registry push or production deployment.

io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-container-image-hardening

Harden container images by minimizing attack surface, stripping unnecessary packages, implementing multi-stage builds, configuring non-root users, and applying CIS Docker Benchmark recommendations to produce secure, production-ready images. Use when building production container images, when compliance requires CIS Docker Benchmark adherence, or when shrinking image size to reduce vulnerability exposure from unused packages.

io.github.mukul975/Anthropic-Cybersecurity-Skills/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.

io.github.mukul975/Anthropic-Cybersecurity-Skills/modeling-threats-with-opencti

Deploy OpenCTI (Filigran) via Docker Compose and use the pycti Python client to model threat actors, intrusion sets, campaigns, and indicators as a STIX 2.1 knowledge graph with relationships (uses, attributed-to, targets). Use when building a centralized threat-intel knowledge base, correlating IOCs from multiple feeds into one adversary graph, or producing STIX bundles for detection engineering.

io.github.mukul975/Anthropic-Cybersecurity-Skills/building-threat-feed-aggregation-with-misp

Deploy MISP via Docker and configure feeds from sources like abuse.ch, AlienVault OTX, and CIRCL to aggregate, correlate, and distribute threat intelligence, including automated feed synchronization and STIX/TAXII-based integration with Splunk, Elasticsearch, and SOAR platforms. Use when standing up centralized IOC management or wiring multi-source threat feeds into a SIEM.

io.github.mukul975/Anthropic-Cybersecurity-Skills/analyzing-docker-container-forensics

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

io.github.danielmiessler/LifeOS/Migrate

Intakes external content, classifies chunks against LifeOS taxonomy, commits with provenance. Sources: .md/.txt, stdin, LifeOS dirs, CLAUDE.md/Cursor/OpenAI Custom Instructions, Obsidian/Notion/Apple Notes exports. MigrateScan classifies → routing table. MigrateApprove with --approve-all/--approve-target/--review/--dry-run. Confidence ≥70% auto, 40-70% confirm, <40% walk-through. USE WHEN /migrate, migrate content, import from other LifeOS, bring in old notes, import Cursor rules, import CLAUDE.md, bulk import, Obsidian/Notion/Apple Notes import. NOT FOR single-file edits, conversational interviews, identity edits.