Sichert Container-Registry-Images (ECR, ACR, GCR, Docker Hub) durch Scannen mit Trivy und Grype, Signieren mit Cosign und Sigstore, Konfiguration von Registry-Zugriffskontrollen und Erstellung von CI/CD-Pipelines, die ungescannte oder unsignierte Images blockieren. Verwenden Sie diesen Skill beim Einrichten von Registry-Sicherheitskontrollen oder beim Durchsetzen von Scan-/Signaturprüfungen vor der Image-Freigabe.
Dieser Skill bietet umfassende Sicherheitsmaßnahmen für Container-Registry-Images und unterstützt die gängigen Registries ECR, ACR, GCR und Docker Hub. Er nutzt Trivy und Grype zur Schwachstellenscan-Analyse, Cosign und Sigstore zur kryptografischen Signierung und ermöglicht die Konfiguration von Zugriffskontrollen in der Registry. Der Skill ist besonders nützlich für Entwicklerteams, die sichere CI/CD-Pipelines aufbauen möchten, die automatisch ungescannte oder unsignierte Images blockieren, bevor sie in die Produktion gelangen. Die Implementierung erfolgt auf Basis der SKILL.md-Dokumentation und integriert sich nahtlos in gängige CI/CD-Plattformen wie GitHub Actions oder GitLab CI.
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/securing-container-registry-imagesSichert Container-Registry-Images (ECR, ACR, GCR, Docker Hub) durch Scannen mit Trivy und Grype, Signieren mit Cosign und Sigstore, Konfiguration von Registry-Zugriffskontrollen und Erstellung von CI/CD-Pipelines, die ungescannte oder unsignierte Images blockieren. Verwenden Sie diesen Skill beim Einrichten von Registry-Sicherheitskontrollen oder beim Durchsetzen von Scan-/Signaturprüfungen vor der Image-Freigabe.
This repo contains 20 individual skills — each has its own dedicated page.
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket
Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target
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Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
Detect dangerous ACL misconfigurations in Active Directory using ldap3
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.
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect
Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query
Analyzes bootkit and advanced rootkit malware infecting the Master
Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user
Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.
Monitor Certificate Transparency logs using crt.sh and Certstream to
Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.
Extract and analyze Cobalt Strike beacon configuration from PE files
Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.
Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom
Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain
Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.
Analyzes DNS query logs to detect data exfiltration via DNS tunneling,
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.