A high-intensity, 1,000-iteration security audit engine designed for deep-dive code reviews, compliance prep, and infrastructure hardening.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ralph-ultra
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ralph-ultra using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ralph Ultra?
Ralph Ultra is a professional-grade security auditing skill for AI agents, designed to execute a rigorous 1,000-iteration loop that uncovers vulnerabilities across the entire software stack. Unlike shallow scans, this skill leverages a Red Team mindset and multiple expert personas—including Cybersecurity Veterans and Dependency Hunters—to conduct exhaustive investigations. It is a core component of the Openclaw Skills library for developers who require high-assurance security verification before major releases or during incident investigations.
The skill operates over a 4 to 8-hour window, meticulously checking everything from OWASP Top 10 vulnerabilities and business logic flaws to container orchestration and supply chain integrity. By prioritizing depth over breadth, Ralph Ultra ensures that every potential attack vector is analyzed, verified against the actual codebase, and documented with actionable remediation steps.
Ralph Ultra Use Cases
- Preparing for a major production release where security is a critical requirement.
- Conducting a formal compliance audit prep for GDPR, SOC2, or internal security policy enforcement.
- Investigating potential security incidents or identifying the root cause of suspected breaches.
- Hardening containerized infrastructure and CI/CD pipelines against supply chain attacks.
- Performing deep-dive business logic reviews to find complex race conditions or state manipulation flaws.
How Ralph Ultra Works
- Auto-Detection: The skill begins by identifying the project stack, git history, and infrastructure manifests (Docker, K8s, Terraform).
- Phase Partitioning: The 1,000 iterations are divided into 8 distinct phases, ranging from Reconnaissance to Final Verification.
- Persona Activation: For each phase, the agent activates a specialized expert persona, such as a Container Security Expert or Code Auditor.
- Deep-Dive Action: The agent performs exactly one deep check per iteration to maintain focus and ensure thoroughness.
- State Verification: Before flagging a failure, the skill reads actual code and environment constraints to confirm findings and reduce false positives.
- Checkpoint Reporting: Every 50 iterations, the skill updates a persistent report file to handle context limits and allow for session resumption.
- Final Synthesis: Upon completion, a comprehensive security scorecard and final report are generated with CVSS scores.
Ralph Ultra Setup
To initiate a deep-dive audit using Openclaw Skills, invoke the Ralph Ultra command within your AI agent environment. Ensure your repository contains the necessary configuration files.
# Start a full 1,000 iteration audit
/ralph-ultra --focus all
# Resume an existing audit from a checkpoint
/ralph-ultra --resume
# Focus specifically on infrastructure and containers
/ralph-ultra --phase 4
Ralph Ultra Data Schema & Taxonomy
Ralph Ultra organizes its findings into a structured markdown taxonomy to ensure clarity for developers and auditors.
| Data Component | Purpose |
|---|---|
.ralph-report.md |
The main persistent audit log containing all PASS/FAIL findings and exploit PoCs. |
CVSS Score |
Standardized severity rating for every identified vulnerability. |
Confidence Level |
Categorization of findings as VERIFIED, LIKELY, or NEEDS_REVIEW. |
Iteration ID |
A unique [ULTRA-X/1000] tag for tracking progress and audit trails. |
Ralph Ultra Advanced Features
- Checkpoint & Resume Protocol: Prevents data loss during long-running audits by persisting state to a local markdown file.
- Multi-Persona Simulation: Automatically switches between 4+ specialized security mindsets to provide multi-dimensional analysis.
- Business Logic Auditing: Goes beyond syntax to check for TOCTOU race conditions and workflow bypasses.
- Supply Chain Intelligence: Audits third-party dependencies for CVEs, typosquatting, and pinned CI/CD action security.
- Customizable Focus: Allows users to target specific domains like Auth, Secrets, or Infrastructure via CLI parameters.
SKILL.md
Loading
Related Openclaw Skills
Ralph Security
A rigorous security auditing agent that performs a structured 100-iteration deep dive into codebases, infrastructure, and secrets.
Ralph Quick Security Auditor
A high-speed security auditor that performs a 10-step spot-check for vulnerabilities in under 10 minutes.
Humanizer Enhanced
A professional-grade content refinement tool that detects and eliminates 34 distinct AI writing patterns while injecting personality and soul into drafts.
NadirClaw
An open-source LLM router that classifies prompts in milliseconds to slash API costs by routing to the most efficient model available.
Researcher v2.0: USACF Research Generator
A sophisticated engine that converts rough research topics into fully-configured, multi-agent USACF swarm protocols for deep analysis.
Skeall
Skeall is a professional CLI-based toolset for scaffolding, auditing, and optimizing high-performance Openclaw Skills.
METADATA
Featured*
