# How to Use CTF-Sandbox-Orchestrator for Competition Scenarios in Reverse-Skill

> Learn how to use CTF-Sandbox-Orchestrator for competition scenarios. This tool automates challenges within the reverse-skill repository using a six-step sandbox workflow.

- Repository: [ZhaoXu/reverse-skill](https://github.com/zhaoxuya520/reverse-skill)
- Tags: how-to-guide
- Published: 2026-08-02

---

**The CTF-Sandbox-Orchestrator serves as the unified entry point for all competition-style challenges in the zhaoxuya520/reverse-skill repository, implementing a six-step sandbox workflow that automatically routes to specialized child skills after proving a minimal attack path.**

The CTF-Sandbox-Orchestrator is the default skill invoked when tackling CTF-style tasks in the zhaoxuya520/reverse-skill repository. It establishes a controlled sandbox environment where every binary, endpoint, or credential is treated as internal until proven otherwise. By enforcing a minimal-path investigation before expanding scope, this orchestrator ensures reproducible results while automatically selecting the most appropriate domain-specific child skill.

## Architectural Components of CTF-Sandbox-Orchestrator

The orchestrator's architecture is defined in [`CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/SKILL.md) and consists of six integrated components that work together to manage competition workflows.

### Skill Definition and Metadata

The skill definition occupies lines 1-14 of [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md), declaring the orchestrator's role as the first-stop handler for all competition work. This metadata establishes the orchestrator's priority in the routing hierarchy and defines its sandbox-centric operational model.

### Six-Step Workflow Engine

The core workflow is documented across lines 15-38 and 41-55 of [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md). The orchestrator guides investigators through a strict sequence:

1. **Adopt sandbox assumptions** – Treat every artifact as internal to the sandbox unless explicitly proven otherwise.
2. **Map the entry surface** – Identify relevant hosts, routes, processes, containers, or binaries.
3. **Prove a minimal path** – Focus on a single request, file, crash, or login event to establish a decisive boundary.
4. **Expand by challenge type** – Load domain-specific knowledge only after confirming the primary attack vector.
5. **Verify reproducibility** – Re-run the path from a clean baseline to confirm consistency.
6. **Package evidence** – Capture all artifacts using standardized recording requirements.

### Domain-Specific Reference Library

The orchestrator dynamically loads only the necessary reference file from `CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/references/`:

- [`web-api.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/web-api.md) – Web and API exploitation tactics
- [`reverse-native.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/reverse-native.md) – Native binary reverse engineering
- [`crypto-mobile.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/crypto-mobile.md) – Cryptographic and mobile challenges
- [`agent-cloud.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/agent-cloud.md) – Cloud, container, and AI-agent exploitation
- [`identity-windows.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/identity-windows.md) – Windows identity and Active Directory attacks
- [`router-matrix.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/router-matrix.md) – Child-skill selection matrix (lines 67-109)
- [`reporting.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/reporting.md) – Evidence formatting and packaging guidelines

### Child Skill Routing Matrix

Lines 67-109 of [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md) define the internal routing table that maps identified domains to specific child skills (e.g., `$competition-web-runtime`, `$competition-reverse-pwn`). The orchestrator invokes these child skills internally after the dominant domain is confirmed, eliminating manual selection errors.

### Evidence Priority System

Lines 118-127 establish a strict hierarchy for conflicting data sources. Live runtime behavior receives priority over static artifacts, ensuring that dynamic analysis findings take precedence when evidence conflicts arise.

### Recording Requirements Checklist

Lines 129-137 mandate specific artifact capture including file paths, network requests, cryptographic hashes, authentication tickets, and execution traces. This checklist ensures competition submissions remain fully reproducible.

## Step-by-Step Implementation

To leverage the CTF-Sandbox-Orchestrator effectively in competition environments:

1. **Invoke the orchestrator directly** – Call the skill without specifying a child skill, allowing automatic activation.
2. **Apply core sandbox rules** – Assume all targets reside within the controlled environment.
3. **Identify entry surfaces** – Document all immediate interaction points (URLs, binaries, services).
4. **Establish minimal proof** – Capture one decisive boundary transaction (authentication check, exploit primitive, or data flow).
5. **Activate domain reference** – Allow automatic loading of the relevant markdown guide from the references directory.
6. **Route to child skill** – Permit internal selection of the appropriate `$competition-*` skill based on proven domain.
7. **Execute verification** – Repeat the attack path from baseline and generate findings using the reporting reference.

## Practical Code Examples

### Basic Web Challenge Invocation

When facing a web-based CTF challenge, invoke the orchestrator with a context dictionary specifying the challenge type:

```python
context = {
    "challenge": {
        "type": "web",
        "target_url": "http://sandbox.example/secret",
        "description": "User supplied a URL that looks like a CTF web service."
    }
}

# Call the orchestrator; it auto-routes to $competition-web-runtime

run_skill("ctf-sandbox-orchestrator", context)

```

According to the source code in [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md) (line 59), this invocation triggers automatic loading of [`references/web-api.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/references/web-api.md) and subsequent routing to the web-runtime child skill after confirming the domain.

### Cryptographic Challenge Initialization

For crypto-heavy challenges, provide explicit typing while maintaining sandbox enforcement:

```python
context = {
    "challenge": {
        "type": "crypto",
        "target_file": "/sandbox/encrypted.bin",
        "description": "AES-256 encrypted flag with custom padding"
    }
}

run_skill("ctf-sandbox-orchestrator", context)

# Loads references/crypto-mobile.md (line 61) and routes to $competition-crypto-mobile

```

### Manual Evidence Injection

You can supplement the orchestrator's automatic recordings with pre-captured evidence:

```python
context["evidence"] = {
    "request": {"method": "GET", "url": "http://sandbox.example/secret"},
    "response_hash": "a3f5c9d2...",
    "initial_analysis": "Server responds with custom X-Flag header"
}

run_skill("ctf-sandbox-orchestrator", context)

```

The orchestrator merges manual evidence with its own recordings according to the evidence priority rules (lines 118-127), maintaining the hierarchy where runtime observations supersede static indicators.

## Evidence Handling and Reproducibility Standards

The CTF-Sandbox-Orchestrator enforces strict evidence handling through two control mechanisms defined in [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md).

**Evidence Priorities (Lines 118-127):**
When conflicting information appears between static analysis and runtime observation, the orchestrator prioritizes live behavioral data. This prevents false positives from outdated static signatures and ensures findings reflect actual execution paths.

**Recording Requirements (Lines 129-137):**
Every investigation must capture:
- Complete file paths and resource locators
- Network request/response pairs
- Cryptographic hashes of relevant artifacts
- Authentication tickets or session identifiers
- Execution traces and crash dumps

This mandatory checklist ensures that any competition submission can be reproduced from a clean baseline, satisfying typical CTF verification requirements.

## Summary

- **CTF-Sandbox-Orchestrator** acts as the default entry point for all competition tasks in zhaoxuya520/reverse-skill, eliminating the need to pre-select specialized skills.
- The orchestrator implements a six-step workflow (lines 15-55 of [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md)) that prioritizes sandbox assumptions and minimal-path verification.
- Domain-specific knowledge loads dynamically from seven reference files located in `CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/references/`.
- Automatic routing to child skills (defined lines 67-109) occurs internally after proving the dominant challenge domain.
- Evidence handling follows strict priorities (lines 118-127) favoring runtime behavior over static analysis.
- Recording requirements (lines 129-137) mandate comprehensive artifact capture for reproducibility.

## Frequently Asked Questions

### What distinguishes CTF-Sandbox-Orchestrator from other skills in the repository?

Unlike specialized child skills that focus on specific domains (web, crypto, pwn), the CTF-Sandbox-Orchestrator serves as the unified entry point that handles initial sandbox assumption enforcement and domain identification. According to lines 1-14 of [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md), it is explicitly designed as the "first-stop skill for all competition work," automatically routing to appropriate child skills only after establishing a minimal attack path.

### How does the orchestrator handle challenges spanning multiple domains?

The CTF-Sandbox-Orchestrator relies on the "minimal path" principle documented in lines 41-55 of [`SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/SKILL.md). When multiple domains appear relevant (e.g., a web service with crypto components), the investigator must identify and prove the decisive boundary for one primary vector first. The orchestrator then loads the corresponding reference file and routes to the matching child skill. Complex multi-domain challenges may require iterative invocation if initial assumptions prove incorrect.

### Can investigators bypass the sandbox assumptions for local testing?

The sandbox assumptions defined in the "Core Rules" section (lines 15-38) are mandatory behavioral constraints, not environmental limitations. While the orchestrator executes within the reverse-skill engine, it assumes all provided targets reside within a controlled sandbox for analysis purposes. This design ensures consistent reproducibility regardless of the actual deployment environment. Attempting to treat external targets as outside the sandbox violates the workflow model and may lead to incomplete evidence recording.

### Where are the specific evidence recording requirements documented?

The complete recording checklist is located at lines 129-137 of [`CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/SKILL.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/SKILL.md). This section specifies exactly which artifacts must be captured (paths, requests, hashes, tickets) to satisfy the orchestrator's reproducibility standards. Additionally, [`references/reporting.md`](https://github.com/zhaoxuya520/reverse-skill/blob/main/references/reporting.md) provides formatting guidelines for packaging this evidence into competition-ready submissions.