Creator · zhaoxuya520
Last updated · Sep 1, 2026
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, memor
Sandbox only
Install targets
Codex install prompt
Install the "competition-forensic-timeline" agent skill from https://github.com/zhaoxuya520/reverse-skill/tree/main/CTF-Sandbox-Orchestrator/competition-forensic-timeline. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhaoxuya520-competition-forensic-timeline","task":"Install competition-forensic-timeline","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timeline
Maintenance
fresh
8d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
34K
92/100 Quality · 82/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
34K GitHub stars
Repo activity
34K stars, 4.6K forks
Maintenance
8d since push
License
MIT
Install
npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timeline
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timelineDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20competition-forensic-timeline%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20competition-forensic-timeline%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhaoxuya520-competition-forensic-timeline/install
Agent should check
Copy prompt
Task: Use competition-forensic-timeline in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20competition-forensic-timeline%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhaoxuya520-competition-forensic-timeline/install
Install command: npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timeline
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhaoxuya520-competition-forensic-timeline/install
LLM text format
/api/skills/zhaoxuya520-competition-forensic-timeline/install?format=text
Find alternatives
/api/skills/search?q=competition-forensic-timeline&limit=3
Agent prompt
Use competition-forensic-timeline for this task. Review https://www.openagentskill.com/api/skills/zhaoxuya520-competition-forensic-timeline/install, then install with: npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timelineRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/zhaoxuya520-competition-forensic-timeline
LLM text
/api/registry/manifest/zhaoxuya520-competition-forensic-timeline?format=text
Install alias
/api/registry/install/zhaoxuya520-competition-forensic-timeline
Recommend
/api/registry/recommend?task=Use%20competition-forensic-timeline%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS34K GitHub stars
Stars/forks activity
PASS34K stars, 4.6K forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
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Similar skills that may fit this task.
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--- 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
Source provenance
Decision snapshot
33,705 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for competition-forensic-timeline, ready for a manual X post.
competition-forensic-timeline: Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for DFIR chronol... 33.7K stars https://www.openagentskill.com/skills/zhaoxuya520-competition-forensic-timeline?ref=x
Listing + install path for competition-forensic-timeline: https://www.openagentskill.com/skills/zhaoxuya520-competition-forensic-timeline?ref=x Install: npx skills add zhaoxuya520/reverse-skill --skill competition-forensic-timeline
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness