How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

analyzing-threat-landscape-with-misp - Skill

Name: analyzing-threat-landscape-with-misp
Author: mukul975

Imported from mukul975/anthropic-cybersecurity-skills (skills/analyzing-threat-landscape-with-misp/SKILL.md). Install upstream with npx skills add mukul975/anthropic-cybersecurity-skills --skill analyzing-threat-landscape-with-misp. Copyright stays with the author (Apache-2.0).

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)

Install analyzing-threat-landscape-with-misp and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "mukul975-anthropic-cybersecurity-skills-analyzing-threat-a38412", "kind": "skill", "name": "analyzing-threat-landscape-with-misp", "description": "Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.", "publisher": "mukul975", "version": "1.0.0", "capabilities": { "domains": [ "math", "data_analysis" ], "tags": [ "skill-md", "threat-intelligence", "misp", "threat-landscape", "ioc-analysis", "cti", "threat-sharing", "skills-sh" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events." ], "primary": false, "metadata": { "source": { "provider": "skills.sh", "repository": "https://github.com/mukul975/anthropic-cybersecurity-skills", "path": "skills/analyzing-threat-landscape-with-misp/SKILL.md", "ref": "HEAD", "url": "https://github.com/mukul975/anthropic-cybersecurity-skills/blob/HEAD/skills/analyzing-threat-landscape-with-misp/SKILL.md", "key": "mukul975/anthropic-cybersecurity-skills/skills/analyzing-threat-landscape-with-misp/SKILL.md" }, "license": "Apache-2.0" }, "instructions": "# Analyzing Threat Landscape with MISP\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing threat landscape with misp\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Familiarity with threat intelligence concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing act", "cost": { "context_tokens": 362 } }

analyzing-threat-landscape-with-misp

About

Analyzing Threat Landscape with MISP

When to Use

Prerequisites

Instructions

Examples

Threat Landscape Summary

Install analyzing-threat-landscape-with-misp and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Use it

Manifest

Reviews