RedteamAgent: An AI red-team agent for authorized labs and web app pentesting workflows

by NeoTheCapt · Codex Skill · ★ 156

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

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

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-agentsautomated-testingbug-bountyethical-hackingkali-linuxllm-agentoffensive-securityopencodeowasppenetration-testing

Quick Facts

Stars156
Forks29
LanguagePython
CategoryCodex Skill
Quality Score72/100
Open Issues2
Last Updated2026-08-02
Created2026-03-20
Platformsbrowser, claude-code, codex, python
Est. Tokens~18k

About RedteamAgent

🔴 RedTeam Agent Autonomous AI-Powered Red Team Simulation Agent Install · Quick Start · Architecture · 中文 An autonomous red team simulation agent that works with Claude Code, OpenCode, and Codex. It transforms any workspace into a full penetration testing environment for CTF/lab targets — featuring 8 AI agents, containerized Kali tools, a streaming case collection pipeline, and 79 security...

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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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