How do I install the Threat Lndscp Misp skill?

Run npx skillmds@latest add undermybelt/threat-lndscp-misp in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Threat Lndscp Misp safe to use?

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Which AI agents work with Threat Lndscp Misp?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Threat Lndscp Misp free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Threat Lndscp Misp?

undermybelt (@undermybelt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Threat Lndscp Misp by undermybelt — Agent Skill

Name: Threat Lndscp Misp
Author: undermybelt

Threat Lndscp Misp

Analyze the threat landscape using MISP (Malware Information Sharing Platform) by querying event statistics, attribute distributions, threat actor galaxy clusters, and tag trends over time. Uses PyMISP to pull event data, compute IOC type breakdowns, identify top threat actors and malware families, and generate threat landscape reports with temporal trends.

undermybelt Updated Sep 17, 2026

File contents

Analyzing Threat Landscape with MISP

When to Use

When investigating security incidents that require analyzing threat landscape with misp
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Familiarity with threat intelligence concepts and tools
Access to a test or lab environment for safe execution
Python 3.8+ with required dependencies installed
Appropriate authorization for any testing activities

Instructions

Install dependencies: pip install pymisp
Configure MISP URL and API key.
Run the agent to generate threat landscape analysis:
- Pull event statistics by threat level and date range
- Analyze attribute type distributions (IP, domain, hash, URL)
- Identify top MITRE ATT&CK techniques from event tags
- Track threat actor activity via galaxy clusters
- Generate temporal trend analysis of IOC submissions

python scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.json

Examples

Threat Landscape Summary

Period: Last 90 days
Events analyzed: 1,247
Top threat level: High (43%)
Top attribute type: ip-dst (31%), domain (22%), sha256 (18%)
Top MITRE technique: T1566 Phishing (89 events)
Top threat actor: APT28 (34 events)

Frequently asked questions