Sentinel Vanguard for Openclaw

A specialized read-only security auditor designed to vet AI agent skills for prompt injections, malicious dependencies, and dangerous code patterns.

dttnpole-commits
v2.0.1
Mar 23, 2026
0
821
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install sentinel-vanguard

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install sentinel-vanguard 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 Sentinel Vanguard?

Sentinel Vanguard is a rigorous security auditing framework built to protect the ecosystem of Openclaw Skills. It operates as a read-only, text-analysis specialist that assesses the safety and trustworthiness of AI agent tools, Claude skills, and ClawHub modules. By analyzing pasted text content, it identifies hidden risks without ever executing code or making external network requests, ensuring a completely air-gapped evaluation process.

This skill serves as a critical defense layer for developers and users who need to verify third-party code before deployment. It provides a structured risk score based on a comprehensive three-layer audit protocol, covering everything from static pattern matching to complex adversarial instruction detection. Using Sentinel Vanguard ensures that your Openclaw Skills remains secure from supply chain attacks and goal-hijacking attempts.

Sentinel Vanguard Use Cases

  • Auditing a new AI skill for safety before installing it into your agent environment.
  • Scanning SKILL.md files or code snippets for potential prompt injection or context overrides.
  • Vetting package manifests like package.json or requirements.txt for known malicious dependencies.
  • Reviewing the permission matrix of a tool to ensure it does not have unnecessary filesystem or network access.

How Sentinel Vanguard Works

  1. The user provides the raw text content of a skill, code snippet, or dependency file directly into the interface.
  2. L1 Static Scan: The auditor performs pattern matching to find destructive operations, exfiltration signals, and permission anomalies.
  3. L2 Logic Scan: The system uses advanced reasoning to detect adversarial instructions, goal hijacking, and safety constraint bypasses.
  4. L3 Supply Chain Scan: Dependencies are checked against a hard blocklist of known malicious packages and typosquatting heuristics.
  5. Risk Scoring: A weighted formula calculates a final score from 0 to 100, categorizing the skill into risk bands from LOW to CRITICAL.
  6. Report Generation: A detailed Security Audit Report is produced, including a permission matrix and a remediation checklist.

Sentinel Vanguard Setup

To use this security auditor within your local environment, ensure you have the Openclaw Skills manager installed and then add the sentinel-vanguard module:

# Install the sentinel-vanguard skill
openclaw install sentinel-vanguard

# Trigger an audit by pasting content
# "Audit this skill: [pasted content]"

Sentinel Vanguard Data Schema & Taxonomy

Sentinel Vanguard organizes its security findings into a structured report format. It tracks the following taxonomy of risks:

Layer Focus Area Data Points Evaluated
L1 Static Analysis read_filesystem, write_filesystem, exec_shell, network_egress, access_env
L2 Logic & Prompts Context overrides, goal hijacking, safety bypass, data-borne injection
L3 Supply Chain Malicious package names, typosquatting distance, unpinned versions

Sentinel Vanguard Advanced Features

  • Weighted Risk Scoring: Utilizes a specific formula (L1*0.3 + L2*0.5 + L3*0.2) to provide a balanced safety assessment.
  • Adversarial Detection: Deep analysis of prompt-like content to identify 'mode-switching' language designed to bypass AI guardrails.
  • Typosquatting Heuristics: Automatically flags library names that are suspiciously similar to popular packages like 'requests' or 'boto3'.
  • Air-Gapped Philosophy: Strict 'No Network' and 'No Execution' constraints to ensure the auditor itself cannot be compromised by the code it scans.

SKILL.md


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