cortex-scout: A unified web extraction and stateful automation engine for AI

by cortex-works · MCP Server · ★ 70

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: browser-use, Playwright MCP & AI Browser Agents

How to install cortex-scout

git clone https://github.com/cortex-works/cortex-scout.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: CAUTION · quality 70/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsanti-bot-bypassautomated-testingdev-toolsknowledge-graphllm-toolsmcpmodel-context-protocolmodel2vecplaywright

Quick Facts

Stars70
Forks9
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score70/100
Open Issues1
Last Updated2026-09-20
Created2025-08-09
Platformsbrowser, mcp, rust, vscode
Est. Tokens~1508k

About cortex-scout

CortexScout (cortex-scout) — Search and Web Extraction Engine for AI Agents CortexScout is the Deep Research & Web Extraction module within the Cortex-Works ecosystem. Designed for agent workloads that require token-efficient web retrieval, reliable anti-bot handling, and optional Human-in-the-Loop (HITL) fallback.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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