Agent Skillszhaoxuya520/reverse-skill › competition-forensic-timeline

competition-forensic-timeline

GitHub

用于CTF沙箱环境下的数字取证时间线重建。在 orchestrator 确立假设后,通过关联 EVTX、注册表、内存等多源证据,标准化时间戳并构建攻击链,还原从入侵到持久化的决定性事件顺序,输出紧凑且可追溯的取证时间线。

CTF-Sandbox-Orchestrator/competition-forensic-timeline/SKILL.md zhaoxuya520/reverse-skill

触发场景

用户要求构建取证时间线 需要关联多种取证工件(如EVTX、PCAP、注册表)以解释攻击者行为顺序 需要定位关键证据出现的具体阶段

安装

npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timeline -g -y
更多选项

非标准路径

npx skills add https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-forensic-timeline -g -y

不安装直接使用

npx skills use zhaoxuya520/reverse-skill@competition-forensic-timeline

指定 Agent (Claude Code)

npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timeline -a claude-code -g -y

安装 repo 全部 skill

npx skills add zhaoxuya520/reverse-skill --all -g -y

预览 repo 内 skill

npx skills add zhaoxuya520/reverse-skill --list

SKILL.md

Frontmatter
{
    "name": "competition-forensic-timeline",
    "description": "Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for DFIR chronology, cross-artifact correlation, persistence chains, and incident timeline reconstruction. Use when the user asks to build a forensic timeline, correlate EVTX, PCAP, registry, disk, memory, mailbox, or browser artifacts, explain the order of attacker actions, or pinpoint the stage where the decisive artifact appears. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here."
}

Competition Forensic Timeline

Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.

Use this skill when the hard part is not finding one artifact, but turning many artifacts into one replayable chronology.

Reply in Simplified Chinese unless the user explicitly requests English.

Quick Start

  1. Pick the smallest reliable anchor: first execution, first logon, first network session, first file write, or first mailbox action.
  2. Normalize timestamps, time zones, hostnames, users, process IDs, message IDs, and file paths before correlating.
  3. Build one minimal chain from foothold to persistence, execution, access, or exfiltration.
  4. Separate confirmed event order from inferred gaps.
  5. Reproduce the decisive timeline segment that yields the artifact or privilege conclusion.

Workflow

1. Establish Timeline Anchors

  • Collect only the active surfaces: EVTX, Sysmon, registry, Amcache, prefetch, browser artifacts, mail traces, PCAPs, memory, or filesystem metadata.
  • Record clock source, timezone, and any drift or truncation that could reorder events.
  • Link shared identifiers across sources: PID, logon ID, GUID, message ID, hostname, username, IP, or hash.

2. Correlate The Execution Graph

  • Track process tree, service or task creation, network sessions, file writes, registry changes, mailbox rules, or token use as one path.
  • Distinguish causal edges from coincidence by matching identifiers and adjacency, not just nearby timestamps.
  • Keep raw artifact and parsed summary side by side so every step can be traced back.

3. Compress To The Decisive Story

  • Reduce the timeline to the smallest sequence that proves initial access, persistence, lateral movement, collection, or artifact recovery.
  • Call out missing validation steps separately instead of mixing them into confirmed chronology.
  • If the task becomes mainly about malware config extraction or a Windows pivot edge, switch to the tighter specialized skill.

Read This Reference

  • Load references/forensic-timeline.md for anchor selection, cross-source correlation, and evidence packaging.
  • If the hard part is packet reassembly, protocol framing, or transferred-object extraction from a capture, prefer $competition-pcap-protocol.

What To Preserve

  • Source file paths, event IDs, logon IDs, message IDs, PIDs, hashes, and timestamps with timezone noted
  • One compact timeline table or ordered list for the decisive segment
  • Raw artifacts, parsed output, and inferred edges kept separate

版本历史

  • 1bec1f2 当前 2026-07-05 18:44

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元信息

文件数
0
版本
1bec1f2
Hash
552d9c47
收录时间
2026-07-05 18:44

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