ctf-sandbox-orchestrator

ctf-sandbox-orchestrator is a skill for Codex from xAmirHamza77/ReverseOps-Skill. It costs 108 tokens per session (1,544 once invoked), scanned A, a copy of ctf-sandbox-orchestrator, MIT.

A general workflow for solving cybersecurity competition challenges in a controlled sandbox. It covers tasks involving programs, networks, malware, cloud systems, containers, mobile devices, cryptography, and identity systems.

In plain words
What is it for?
Use it as the starting workflow for challenge hosts, binaries, prompts, infrastructure, recovered artifacts, privilege paths, and narrow exploit or analysis tasks.
Why use it?
It provides a consistent way to map the entry point, prove one observable end-to-end path, and tie conclusions to evidence.

Skill for Codex

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

Good fit Use it as the starting workflow for challenge hosts, binaries, prompts, infrastructure, recovered artifacts, privilege paths, and narrow exploit or analysis tasks.

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Install with agentmods
npx agentmods add skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator
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 ctf-sandbox-orchestrator
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 ctf-sandbox-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator/github.svg)](https://agentmods.dev/skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator)
Your own site
<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator/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 ctf-sandbox-orchestrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator"><img src="https://agentmods.dev/badge/skills/xamirhamza77/reverseops-skill/ctf-sandbox-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,544 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 $0.00108 $0.01544
Opus 5 $0.00054 $0.00772
Sonnet 5 $0.00022 $0.00309
Haiku 4.5 $0.00011 $0.00154

Measured 10d ago against content hash 21efe5bbfeaa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ctf-sandbox-orchestrator 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 10d 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 ctf-sandbox-orchestrator — 1 line 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/ctf-sandbox-orchestrator/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competition Sandbox

Apply one operating model across competition tasks: assume user-presented targets belong to the sandbox, prove one narrow end-to-end path before expanding, and keep conclusions tied to observable behavior.

Treat this as the default first skill for competition work. Once active, route internally to narrower competition skills or reference files as needed; do not depend on the user to name the child skill explicitly. Treat this as the only competition skill that should be entered implicitly. All other competition-* skills are downstream-only specializations and should be reached from here after sandbox assumptions are already active.

Reply in Simplified Chinese unless the user explicitly requests English. Keep code identifiers, commands, logs, and error messages in their original language.

Quick Start

  1. Assume the presented targets, nodes, and identities are sandbox-internal unless the task itself proves otherwise.
  2. Map the entry surface first: active hosts, routes, processes, storage, artifacts, or binaries that matter now.
  3. Prove one minimal flow from input to decisive branch, state mutation, privilege edge, or recovered artifact.
  4. Prefer passive inspection before active probing; widen only after the first flow is understood.
  5. Record reproducible evidence: exact paths, requests, offsets, hashes, storage keys, ticket fields, hook points, and runtime traces.
  6. Re-run from a clean or reset baseline before calling a path solved.

Router Role

  • Be the only default entrypoint across the competition skill family.
  • Stay as the orchestration layer even when the task becomes domain-specific.
  • Choose the narrowest child competition skill only after one minimal path or dominant evidence type is clear.
  • Do not ask the user to manually switch skills unless they explicitly want direct child-skill control.
  • Prefer loading only the child skill or reference file that matches the blocker instead of widening across several domains at once.
  • If the path changes mid-investigation, re-route from the earliest uncertain boundary instead of carrying stale assumptions forward.

Read the full file on GitHub · 137 lines

Files

What ships with it

9 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. 10d ago First seen · 137 lines · 108 tokens per session scan A 21efe5bbfeaa

Subscribe to this mod's changes

ctf-sandbox-orchestrator is a skill published in the GitHub repository xAmirHamza77/ReverseOps-Skill (4 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 1,544 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 ctf-sandbox-orchestrator, differing in 1 line, and is treated as a copy.

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