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.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionanalyzing-threat-landscape-with-mispExecute the skills CLI command in your project's root directory to begin installation:
Fetches analyzing-threat-landscape-with-misp from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analyzing-threat-landscape-with-misp. Access via /analyzing-threat-landscape-with-misp in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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| name | analyzing-threat-landscape-with-misp |
| description | 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. |
| domain | cybersecurity |
| subdomain | threat-intelligence |
| tags | - analyzing - threat - landscape - with |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - File Metadata Consistency Validation - Application Protocol Command Analysis - Identifier Analysis - Content Format Conversion - Message Analysis |
| nist_csf | - ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02 |
pip install pymisppython scripts/agent.py --misp-url https://misp.local --api-key YOUR_KEY --days 90 --output landscape_report.json
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)
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
Solid pick for teams standardizing on skills: analyzing-threat-landscape-with-misp is focused, and the summary matches what you get after install.
analyzing-threat-landscape-with-misp reduced setup friction for our internal harness; good balance of opinion and flexibility.
analyzing-threat-landscape-with-misp has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend analyzing-threat-landscape-with-misp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
analyzing-threat-landscape-with-misp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added analyzing-threat-landscape-with-misp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: analyzing-threat-landscape-with-misp is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in analyzing-threat-landscape-with-misp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added analyzing-threat-landscape-with-misp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
analyzing-threat-landscape-with-misp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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