competition-forensic-timeline

competition-forensic-timeline is a skill for Codex from xAmirHamza77/ReverseOps-Skill. It costs 109 tokens per session (674 once invoked), scanned A, a copy of competition-forensic-timeline, MIT.

A specialized workflow for reconstructing the order of events during a digital investigation. DFIR means digital forensics and incident response, and artifacts include logs, network captures, registry data, mail, and browser records.

In plain words
What is it for?
Use it to correlate system, network, memory, disk, mailbox, and browser evidence and trace a chain such as initial access, persistence, execution, or data theft.
Why use it?
It helps turn scattered evidence from computers and networks into one timeline while separating confirmed events from assumptions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to correlate system, network, memory, disk, mailbox, and browser evidence and trace a chain such as initial access, persistence, execution, or data theft.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xamirhamza77/reverseops-skill/competition-forensic-timeline
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add xAmirHamza77/ReverseOps-Skill --skill competition-forensic-timeline
Clone the repo
git clone --depth 1 https://github.com/xAmirHamza77/ReverseOps-Skill

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for competition-forensic-timeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-forensic-timeline/github.svg)](https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-forensic-timeline)
Your own site
<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-forensic-timeline"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-forensic-timeline/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for competition-forensic-timeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/competition-forensic-timeline"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/competition-forensic-timeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 674 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.00674
Opus 5 $0.00055 $0.00337
Sonnet 5 $0.00022 $0.00135
Haiku 4.5 $0.00011 $0.00067

Measured 9d ago against content hash 552d9c4759b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

competition-forensic-timeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to competition-forensic-timeline — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CTF-Sandbox/competition-forensic-timeline/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 the full file on GitHub · 52 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 52 lines · 109 tokens per session scan A 552d9c4759b7

Subscribe to this mod's changes

competition-forensic-timeline is a skill published in the GitHub repository xAmirHamza77/ReverseOps-Skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 674 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to competition-forensic-timeline, differing in 0 lines, and is treated as a copy.

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