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Ralph Ultra Security Audit
by
dorukardahan
· GitHub ↗
· v3.0.0
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Install in OpenClaw
/install ralph-ultra
Description
Deep-dive security audit with 1,000 iterations (~4-8 hours). Use when user says 'deep security audit', 'ralph ultra', 'compliance audit prep', 'thorough secu...
Usage Guidance
This skill is a powerful, open-ended audit runner: it tells the agent to read code, environment variables, git history, database constraints, and to generate proof-of-concept exploits. That is coherent for a deep audit, but the skill metadata does not declare what credentials or files it will need — so installing it could allow the agent to access sensitive data without you knowing upfront. Before installing or running: (1) only run in an isolated/staging environment or sandbox with no production secrets; (2) require the author to document exact inputs, expected repo paths, and credential requirements; (3) restrict the agent's filesystem/DB access to read-only snapshots where possible; (4) decide whether you permit automatic PoC generation (it can create exploit code); and (5) consider manual human review of findings before any remediation is applied. If you need higher assurance, ask the publisher to add explicit required env/config entries and scope constraints in the SKILL.md so required privileges are visible before installation.
Capability Analysis
Type: OpenClaw Skill
Name: ralph-ultra
Version: 3.0.0
The skill bundle is classified as suspicious due to the extensive and high-risk capabilities it instructs the AI agent to perform, even though these actions are framed within the context of a 'deep security audit'. Instructions in `SKILL.md` include explicit command execution (`git rev-parse --show-toplevel`), broad file system access (reading code, `.env` files, git history for 'secret detection', CI/CD configs, and writing to `.ralph-report.md`), network enumeration ('endpoint enumeration', 'exposed ports'), and 'penetration test simulation' with 'Red Team Mindset' and 'proof-of-concept' generation. While these actions are necessary for a thorough security audit, they represent significant potential for abuse or unintended harm if the agent were compromised or if the instructions were subtly subverted, making it a high-risk tool rather than benign.
Capability Assessment
Purpose & Capability
The name/description (deep 1,000‑iteration security audit) aligns with the SKILL.md: it explicitly instructs exhaustive checks across code, infrastructure, dependencies, and secrets. That capability legitimately requires broad access to code, repos, and environments, so the purpose is coherent — but the metadata does not declare the access/credentials this requires, which is unexpected.
Instruction Scope
The runtime loop explicitly directs the agent to 'read actual code, check libraries, check DB constraints, check environment' and to provide proof-of-concept exploits where applicable. These are open-ended instructions that give the agent broad discretion to access arbitrary files, environment variables, git history, and potentially run or craft exploit code. The SKILL.md does not limit scope (e.g., to a specific repo path or read-only snapshot) or describe safe guardrails for destructive actions.
Install Mechanism
Instruction-only skill with no install spec and no code files executed by the platform — lowest install risk. There is no remote download or package installation declared.
Credentials
The skill declares no required env vars, credentials, or config paths, but the instructions require access to secrets, databases, git history, and environment drift checks. That mismatch means the skill will likely need credentials or filesystem access at runtime that are not surfaced up front for users to review — a proportionality and transparency issue.
Persistence & Privilege
always:false and no persistent install or modification of other skills. The skill saves progress to .ralph-report.md every 50 iterations (local file), which is expected for a multi-step audit; there is no declared attempt to modify system-wide agent settings or other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ralph-ultra - After installation, invoke the skill by name or use
/ralph-ultra - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.0
Latest update
v2.0.0
Initial publish — security audit skill (10/100/1K/10K iterations)
Metadata
Frequently Asked Questions
What is Ralph Ultra Security Audit?
Deep-dive security audit with 1,000 iterations (~4-8 hours). Use when user says 'deep security audit', 'ralph ultra', 'compliance audit prep', 'thorough secu... It is an AI Agent Skill for Claude Code / OpenClaw, with 726 downloads so far.
How do I install Ralph Ultra Security Audit?
Run "/install ralph-ultra" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ralph Ultra Security Audit free?
Yes, Ralph Ultra Security Audit is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Ralph Ultra Security Audit support?
Ralph Ultra Security Audit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ralph Ultra Security Audit?
It is built and maintained by dorukardahan (@dorukardahan); the current version is v3.0.0.
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