offensive-claude: Offensive security toolkit for Claude Code covering red team, exploit dev, AD attacks, EDR bypass, mobile

by hypnguyen1209 · Claude Skill · ★ 395

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How to install offensive-claude

git clone https://github.com/hypnguyen1209/offensive-claude.git ~/offensive-claude

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

claude-codeclaude-code-skillsexploit-developmentoffensive-securityredteam

Quick Facts

Stars395
Forks71
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-10-22
Created2026-05-19
Platformsclaude-code, python
Est. Tokens~16k

About offensive-claude

Offensive Security Research Config for Claude Code A spec-driven offensive security framework for Claude Code — structured engagement workflows based on the Cyber Kill Chain, 25 specialized skills, 6 collaborative agents, and 47 vulnerability reference files. Inspired by GitHub's spec-kit methodology. Quick Setup Skills and agents activate automatically — no additional configuration needed.

Compatible Skills

These tools work well together with offensive-claude for enhanced workflows:

  • pentest-ai-agents — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • pentest-ai — semantic(0.47)+complementary+rare_topics+similar_pop+shared_platform (61%)
  • RedteamAgent — semantic(0.36)+complementary+rare_topics+similar_pop+shared_platform (57%)
  • mcp-security-hub — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse Claude Skill tools