AI Agents Supported by reverse-skill for Security Tasks: Claude, Codex, Cursor, and OpenCode

reverse-skill supports Claude Code, OpenAI Codex, Cursor, and OpenCode through a client-neutral architecture that uses lightweight adapter layers while keeping core routing logic completely independent of any specific AI agent implementation.

The reverse-skill repository provides a deliberately client-neutral framework designed for security operations such as APK analysis and binary vulnerability scanning. According to the source code in AGENTS.md and RULES.md, the project maintains strict architectural separation between its core routing system and AI client implementations, allowing seamless integration across multiple agent platforms without code changes to the underlying logic.

Supported AI Agents and Integration Methods

The repository explicitly lists four primary AI agents capable of loading the skill set through their own adapter layers. Each integration follows the same architectural pattern: the agent invokes platform-agnostic entry points while the core routing remains unchanged.

Claude Code

Claude Code loads the repository via a custom adapter that interfaces with the skill routing system. As documented in AGENTS.md at line 52, this integration guarantees that core routing stays independent of Anthropic's specific implementation details. The agent accesses security tasks by invoking the standard entry scripts rather than embedding custom logic.

OpenAI Codex

Codex operates under the same integration model as Claude Code, utilizing its own project-instruction layer to interface with reverse-skill. The repository treats Codex as a first-class citizen through the adapter pattern defined at AGENTS.md line 52, ensuring that OpenAI's agent can execute security analysis tasks without modifying the underlying routing configuration in skills/config/routing.json.

Cursor

Cursor integrates through a client-specific shim that wraps the core functionality. According to AGENTS.md line 52, this wrapper approach ensures Cursor never becomes the default routing source, maintaining the architectural integrity of the neutral core while still providing full access to the security skill set.

OpenCode

OpenCode is treated as any other compatible client and can call the routing entry point directly without requiring specialized wrapper logic. The source code at AGENTS.md line 52 confirms that OpenCode invokes the same master-route.sh or master-route.ps1 scripts used by other supported agents.

Custom and Future Clients

Any compatible AI client can integrate with reverse-skill by invoking the entry scripts. The architecture only requires the client to execute master-route.sh (Linux/macOS) or master-route.ps1 (Windows) with the appropriate hint parameter. As noted in README.md at line 52, no additional code changes are needed to support new agents.

Client-Neutral Architecture

The reverse-skill repository enforces strict architectural rules to prevent vendor lock-in and ensure cross-platform compatibility.

Core Routing Independence

All routing logic resides in skills/config/routing.json and the scripts under skills/scripts/. These files contain no references to specific AI clients, ensuring that new agents can be added without touching the core code. The RULES.md file at lines 48-53 explicitly mandates that the routing core, regression suite, and tool manifests must stay independent of any AI client implementation.

Adapter Layer Design

Each supported agent may provide its own tiny wrapper that calls the platform-agnostic entry point. The wrapper is optional and lives outside the repository. For example, agents invoke bash skills/scripts/master-route.sh --hint "<task>" on Unix systems or the PowerShell counterpart on Windows. This design means adding or removing an agent never breaks existing functionality.

Implementation Examples

The following examples demonstrate how different AI agents interact with the reverse-skill security framework.

Universal Entry Point Invocation

All supported agents use identical invocation patterns to execute security tasks:

# Linux/macOS - works for Claude Code, Codex, Cursor, OpenCode, or any compatible client

bash skills/scripts/master-route.sh --hint "analyze apk file"

# Windows equivalent using PowerShell

powershell -NoProfile -ExecutionPolicy Bypass -File skills/scripts/master-route.ps1 -Hint "scan binary for vulnerabilities"

Building Custom Adapters

For agents requiring specific integration logic, a thin Python adapter follows this pattern:

# opencode_adapter.py – thin wrapper around the core script

import subprocess
import sys

def run_task(task):
    subprocess.check_call(["bash", "skills/scripts/master-route.sh", "--hint", task])

if __name__ == "__main__":
    run_task(sys.argv[1])

This adapter sketch demonstrates how any AI agent can wrap the core functionality without modifying files in skills/config/ or skills/scripts/.

Summary

• reverse-skill explicitly supports Claude Code, OpenAI Codex, Cursor, and OpenCode for security tasks.
• The architecture is client-neutral, with all routing logic isolated in skills/config/routing.json and skills/scripts/.
• Adapter layers are optional wrappers that invoke the platform-agnostic entry points (master-route.sh or master-route.ps1).
• No hard dependencies exist between the core security logic and any specific AI agent, as enforced by RULES.md.
• New agents integrate by calling the standard entry scripts with task hints, requiring no modifications to the repository core.

Frequently Asked Questions

Can I use reverse-skill with AI agents not listed in the documentation?

Yes. According to the source code in README.md line 52, any compatible client can invoke the entry script (master-route.sh or master-route.ps1) directly. The architecture only requires the ability to execute bash or PowerShell commands with the --hint parameter, making it compatible with custom agents, local LLM setups, or future AI platforms without code changes.

Does reverse-skill require specific API integrations for Claude or Codex?

No. The repository deliberately avoids hard dependencies on any AI client's API. As documented in RULES.md lines 48-53, the core routing, test suite, and manifests must remain independent of AI client implementations. Agents interface through standard script invocation rather than direct API coupling.

How does the routing system handle different operating systems?

The repository provides platform-specific entry points that maintain identical functionality. Linux and macOS clients use skills/scripts/master-route.sh, while Windows clients use skills/scripts/master-route.ps1. Both scripts reference the same skills/config/routing.json configuration, ensuring consistent behavior across Claude Code, Cursor, OpenCode, and other agents regardless of the underlying operating system.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}