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Erstelle Super-Zeitlinien aus gemischten forensischen Artefakte…

Erfasse Datenträger-, Protokoll- und Systemartefakte in einer sortierbaren forensischen Zeitlinie vor der Analyse, Eingrenzung oder Fallprüfung.

Was ist Erstelle Super-Zeitlinien aus gemischten forensischen Artefakte…?

Dieser Skill befähigt KI-Agenten, mit Plaso (log2timeline und psort) gemischte forensische Artefakte – wie Datenträgerabbilder, Systemprotokolle und Dateisystem-Artefakte – zu einer einzigen, durchsuchbaren Zeitlinie zu verarbeiten. Er ist besonders nützlich in forensischen Ermittlungen, Incident-Response und digitaler Forensik, wo die zeitliche Einordnung von Ereignissen aus verschiedensten Quellen entscheidend ist. Der Skill wird für Agentenplattformen wie Claude Code, Cursor oder Codex bereitgestellt und setzt eine funktionierende Plaso-Installation sowie entsprechende Artefakte voraus. Grundlage ist das Open-Source-Projekt log2timeline/plaso, das vollständige Zeitlinien aus rohen Beweismitteln erstellt. Der Skill bietet eine klare Beschreibung der Voraussetzungen, der Installation sowie der wichtigen Quellen- und Dokumentationslinks, damit Agenten ihn in sicherheitskritischen Workflows einsetzen können.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-super-timelines-from-mixed-forensic-artifacts-with-plaso
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Dokumentation

Erstelle Super-Zeitlinien aus gemischten forensischen Artefakten mit Plaso

Erfasse Datenträger-, Protokoll- und Systemartefakte in einer sortierbaren forensischen Zeitlinie vor der Analyse, Eingrenzung oder Fallprüfung.

Voraussetzungen

Plaso-Tooling wie log2timeline und psort, Python-Umgebung, Artefaktsatz oder zu parsende Datenträgerabbilder

Installation

Es konnten keine installations- oder nutzungsbezogenen Anweisungen aus dem Quellcode automatisch extrahiert werden. Überprüfe das upstream-Projekt, bevor du diesen Skill in einem sensitiven Workflow ausführst.

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

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ACF to Gutenberg Block Migrator

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

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Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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