LaunchKit · 2026
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ralph-ultra

Deep-dive security audit with 1,000 iterations (~4-8 hours)

0
432 downloads
by @dorukardahan

Setup & Installation

openclaw skills install @dorukardahan/ralph-ultra

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install ralph-ultra

Version History

v3.0.0Feb 19, 2026 - Version note by skill developer:

Latest update

What This Skill Does

A 1,000-iteration security audit that runs approximately 4-8 hours across 8 structured phases. Each iteration performs one targeted check with a CVSS score, confidence level, and specific remediation. Four expert personas rotate through phases covering OWASP Top 10, authentication, infrastructure, supply chain, and compliance.

Structures 1,000 individual checks into resumable phases with checkpoint saves every 50 iterations, so audits survive context limits without losing progress.

When to use it

  • Pre-release security audit before shipping a major version
  • Compliance audit preparation for GDPR or SOC 2 reviews
  • Post-incident investigation of a compromised codebase
  • Deep follow-up after a lighter audit flags suspicious patterns
  • CI/CD pipeline and container security hardening review

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Run a full deep security audit before the v2.0 release

AGENT
  1. 1Auto-detects stack, git state, Dockerfiles, and CI/CD config in iteration 1
  2. 2Runs 100 reconnaissance checks mapping endpoints, auth flows, exposed ports, and undeclared services
  3. 3Executes OWASP Top 10 deep dive across iterations 101-250 using a Code Auditor persona
  4. 4Audits secrets, JWT configuration, OAuth flows, and rate limiting in phase 3, then container and network security in phase 4
  5. 5Saves checkpoint to .ralph-report.md every 50 iterations and generates a scored final report at iteration 1000
OUTPUT

.ralph-report.md with CVSS-scored findings organized by severity, proof-of-concept exploits where applicable, and specific file-level remediation steps