seikaikyo/dash-skills/analyzing-threat-landscape-with-misp

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Query a MISP (Malware Information Sharing Platform) instance via PyMISP

Install

npx vskill@latest install seikaikyo/dash-skills/analyzing-threat-landscape-with-misp

SKILL.md

The same SKILL.md was published earlier as mukul975/anthropic-cybersecurity-skills/analyzing-threat-landscape-with-misp.

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

  1. Install dependencies: pip install pymisp
  2. Configure MISP URL and API key.
  3. 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
bash
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)

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
2
7-day trend score
10

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/seikaikyo/dash-skills/analyzing-threat-landscape-with-misp/badge)](https://verified-skill.com/skills/seikaikyo/dash-skills/analyzing-threat-landscape-with-misp)

Something wrong with this skill or its page? Tell us.