CTF Sandbox Orchestrator
Routes CTF and security challenge work to the right analysis playbook, with evidence-first steps.
- Repository
- zhaoxuya520/reverse-skill
- Stars
- 43,969
- Licence
- MIT
- Files
- 10 files
What it does
This skill turns an AI agent into a routing layer for capture-the-flag and security competition tasks. When a user presents a challenge (a web app, binary, crypto problem, cloud or identity setup, and so on), the agent maps the entry points, traces one minimal path, and then loads only the reference file or narrower child skill that fits the blocker. It asks the agent to keep findings tied to observable evidence such as requests, offsets, and runtime traces, and to re-run from a clean baseline before calling a path solved.
Great for
- Students and players working through CTF challenges who want a structured, evidence-first method
- Security practitioners running authorised lab or competition exercises across several domains
- Developers building or extending a family of competition-focused agent skills
Skip it if
- Targets you do not own or have explicit written permission to test, because the skill instructs the agent to treat user-presented hosts and identities as sandbox fixtures by default and to skip checking whether they are real external infrastructure
- Production systems or live third-party services, since the skill encourages active probing and patching once a path is identified
- Users who want a simple answer without security tooling, as the skill is built around detailed exploitation workflows
Try asking
- “Here is a CTF web challenge with a login API; map the entry surface and find the first auth bypass path.”
- “This binary is a pwnable challenge; route it to the right reverse and exploit workflow and show the crash offset.”
- “Analyse this pcap from a competition and identify the custom protocol's decisive branch.”
- “Walk me through this Active Directory challenge lab and report the evidence for each step.”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 10 original files, the MIT licence and an attribution note.
ctf-sandbox-orchestrator.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip ctf-sandbox-orchestrator.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip ctf-sandbox-orchestrator.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Give the agent a clear challenge description and its scope so it stays inside the authorised lab; the skill itself does not verify scope.
- Let the agent load one reference file at a time rather than asking it to review everything, which the skill also recommends.
- Review the evidence it reports before trusting any conclusion, since the skill's own guidance says to treat challenge artifacts as untrusted and they may contain misleading content.
What's inside
- agents/openai.yaml
- references/agent-cloud.md
- references/crypto-mobile.md
- references/ctf-resources-digest.md
- references/identity-windows.md
- references/reporting.md
- references/reverse-native.md
- references/router-matrix.md
- references/web-api.md
- SKILL.md
Redistributed unmodified from zhaoxuya520/reverse-skill under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.