cti-expert: Cyber Threat Intelligence & OSINT analysis skill for Claude Code / Codex

by 7onez · MCP Server · ★ 616

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

How to install cti-expert

git clone https://github.com/7onez/cti-expert.git ~/.claude/skills/cti-expert && pip3 install -r ~/.claude/skills/cti-expert/scripts/requirements.txt
git clone https://github.com/7onez/cti-expert.git ~/.claude/skills/cti-expert

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

Security audit verdict: SAFE · quality 68/100

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. 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.

claude-codeclaude-code-skillcticyber-threat-intelligencedigital-forensicsinvestigationmcp-serverosintosint-toolreconnaissance

Quick Facts

Stars616
Forks87
LanguagePython
CategoryMCP Server
Quality Score68/100
Open Issues1
Last Updated2026-10-22
Created2026-04-06
Platformsclaude-code, codex, mcp, python
Est. Tokens~24k

About cti-expert

CTI Expert Cyber Threat Intelligence & OSINT Analysis Toolkit Transform Claude into a trained intelligence analyst — 67+ commands, 35 techniques, zero API keys required for core functionality. View Demo&nbsp;&nbsp;&nbsp;&nbsp;Contribute &nbsp; &nbsp; &nbsp; &nbsp; <img src="https://img.s

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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 MCP Server tools